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Integrate AI security capabilities throughout the ML lifecycle, including model scanning, CI/CD pipelines, application security, runtime detection, and response. Advise on AI Security: Help federal customers understand how to secure: AI/ML models LLM-powered applications AI agents Data and inference

Job DescriptionServiceNow -CSM Location: NY City Required Qualifications ServiceNow Certification: CIS-CSM (Customer Service Management) – Required 4–6 years of hands-on ServiceNow admin/development experience At least 2 full CSM implementations Strong expertise in ServiceNow platform configuration and customization Experience with Flow Designer, IntegrationHub, scripting, and Glide APIs Strong knowledge of reporting and Performance Analytics Experience with security, governance, and CI/CD practices Integration experience (REST/SOAP, JSON/XML, OAuth2, SAML/OIDC) Bachelor’s degree or equivalent experience Flexible work from home options available.

You're not here to maintain someone else's platform. You're here to define how reliability works across an entire engineering organization. \n \n This is a SRE role at one of the world's largest hedge funds, with a genuine engineering-first culture. Technology isn't treated as a support function here-it's a core part of the business, backed by significant investment and a track record that speaks for itself. \n \n You'll be building the tooling that hundreds of engineers rely on every day. That means getting deep into observability, automation, and infrastructure, and doing it at a scale where the decisions you make actually matter. \n \n You'll partner closely with engineering teams across the organization, driving automation and shaping reliability practices from the ground up. You'll have real ownership and the autonomy to move fast and do things properly. \n \n You'll be working across GCP, Terraform, Ansible, and CI/CD pipelines, with strong observability tooling like Datadog at the center of how you understand system health. You'll bring solid Python skills and a deep understanding of distributed systems and what it actually takes to keep them reliable at scale. \n \n Ideally you've already built or operated scalable, reliable systems in complex environments. You know how to work with engineering teams, not just support them, and you understand that the best reliability work happens when you're embedded in the product, not watching from the outside. \n \n The compensation reflects the seriousness of the role, starting at $175,000 - $300,000 base plus a highly competitive performance bonus, with the kind of exposure to best-in-class engineers and modern tooling that genuinely accelerates a career. \n \n Fully onsite \n \n Ready to own reliability at scale? \n \n Get in touch. \n \n No up-to-date CV required.

The project involves transitioning existing Java-based applications to Python. Initially, the role will focus approximately 70% on Java development and 30% on Python development, with the potential for Python responsibilities to increase as the migration progresses. Job Summary We are seeking an experienced Java Developer with hands-on Python development experience to support a BFSI application modernization and migration project. The ideal candidate will have strong expertise in Java, Spring Boot, and enterprise application development, along with practical Python skills to support the gradual transition of existing Java applications and business logic to Python. Initially, the candidate will spend approximately 70% of their time working on Java applications, enhancements, and maintenance, while dedicating 30% to Python development and migration activities. Key Responsibilities • Develop, enhance, and maintain enterprise applications using Java, J2EE, and Spring Boot., • Analyze existing Java applications, business logic, and workflows to support the transition to Python., • Develop and maintain Python components and translate Java-based business logic into Python., • Support application modernization, code migration, and integration activities., • Build and maintain REST APIs, microservices, and enterprise application integrations., • Work with relational databases, SQL queries, and data-processing workflows., • Perform unit testing, integration testing, debugging, code reviews, and performance optimization., • Ensure functional consistency, data integrity, security, and reliability during the migration process., • Collaborate with architects, business analysts, and cross-functional engineering teams., • Follow secure coding standards and applicable BFSI compliance requirements. Required Skills • Strong hands-on experience in Java, J2EE, and Spring Boot., • Practical experience in Python development and scripting., • Ability to understand Java code and implement equivalent business logic in Python., • Experience with REST APIs, microservices, JSON, and system integrations., • Strong SQL and relational database experience., • Knowledge of unit testing, debugging, Git, and CI/CD practices., • Strong analytical, problem-solving, and communication skills. Preferred Qualifications • Experience in the BFSI domain, including banking, payments, lending, or financial services., • Exposure to Java-to-Python migration, application modernization, or legacy transformation projects., • Experience with Python frameworks such as Flask or FastAPI., • Familiarity with cloud platforms and enterprise application architecture., • Understanding of financial transaction processing, data security, and regulatory requirements.

Senior Azure Cloud Infrastructure Engineer Location: New York, NY (10022)| Hybrid (3 days onsite) Type: 6+ Month Contract or Contract-to-Hire About the Role Our client is looking for a senior, hands-on Azure infrastructure engineer to join a growing cloud team and take ownership of key infrastructure work. Their Azure environment is actively being built out, and they need someone who can come in, understand what's in place, and start building with minimal hand-holding. Your first priority will be helping complete an Azure Virtual Desktop (AVD) initiative that is nearing the finish line. From there, you'll take on broader Azure infrastructure work as they move toward infrastructure as code and modern deployment practices, including our build-out of GitHub Enterprise. This is a hands-on engineering role, not a pure architecture or administration position. You'll be building, automating, and troubleshooting. What You'll Do • Design, build, and manage Azure resources, subscriptions, and platform services, • Help complete and support an in-progress Azure Virtual Desktop deployment, • Build and maintain infrastructure as code, primarily using Terraform, • Take ownership of tasks end to end, working independently in an evolving environment, • Troubleshoot complex infrastructure issues and dig into Azure services you may not have worked with before, • Support development teams with infrastructure and application deployments, • Contribute to the adoption of GitHub Enterprise, GitHub Actions, and CI/CD practices for infrastructure deployment What You Bring • Several years of hands-on Azure infrastructure engineering experience, • Experience building and managing Azure resources, subscriptions, and platform services, • Hands-on Azure Virtual Desktop (AVD) experience, • Infrastructure as code experience, with Terraform strongly preferred (Bicep or similar tools also considered), • A strong preference for building through code over manual configuration, • Proven ability to work independently, take a task and run with it, and solve problems without extensive direction, • Strong troubleshooting skills and comfort learning new technologies quickly Nice to Have • AKS / Kubernetes and Docker, • GitHub Enterprise, GitHub Actions, and self-hosted runners, • CI/CD pipeline experience, • Azure networking, • Azure landing zones, • Microsoft Fabric, • Experience with additional Azure services A Note on Fit They are not looking for someone who is an expert in every technology listed above. They're building a team over time, and value strong core Azure infrastructure skills, sound engineering judgment, and an ability to figure things out over checking every box. If you're a strong Azure engineer with AVD and IaC experience, we encourage you to apply even if you don't have all the nice-to-haves.

C5i is a pure-play AI & Analytics provider that combines the power of human perspective with AI technology to deliver trustworthy intelligence. The company drives value through a comprehensive solution set, integrating multifunctional teams that have technical and business domain expertise with a robust suite of products, solutions, and accelerators tailored for various horizontal and industry-specific use cases. At the core, C5i’s focus is to deliver business impact at speed and scale by driving adoption of AI-assisted decision-making. C5i caters to some of the world’s largest enterprises, including many Fortune 500 companies. The company’s clients span Technology, Media, and Telecom (TMT), Pharma & Lifesciences, CPG, Retail, Banking, and other sectors. C5i has been recognized by leading industry analysts like Gartner and Forrester for its Analytics and AI capabilities and proprietary AI-based platforms. Global offices United States | Canada | United Kingdom | United Arab of Emirates | India Essential Duties and Responsibilities 1. Data Platform Architecture & Design • These tasks reflect the core responsibility of the role in designing and governing a scalable, reusable data platform., • Defines and maintains the lakehouse architecture on Azure Databricks, using Delta Lake and Unity Catalog., • Designs and applies Medallion Architecture (Bronze, Silver, Gold) patterns, data products, and semantic models., • Establishes reference designs, modeling conventions, and reusable patterns aligned with enterprise standards. 1. Data Ingestion, Orchestration & Transformation • These tasks ensure reliable, well-structured data flows into and through the platform., • Designs ingestion pipelines using APIs, databases, files, and Databricks-native capabilities such as Lakeflow Connect and Auto Loader., • Defines orchestration using Apache Airflow and data transformation and modeling using dbt Core., • Builds and guides development in SQL and Python/PySpark. 1. Data Quality, Testing & Engineering Standards • These tasks ensure the platform is trusted, tested, and maintainable., • Defines and implements data quality frameworks across pipelines and data products., • Establishes CI/CD, Git-based workflows, automated testing, and data pipeline monitoring. 1. Partner Review & Technical Governance • These tasks ensure partner and vendor work meets enterprise standards., • Reviews partner architecture, code, data models, and pipelines for alignment with enterprise standards and reusable design., • Provides technical guidance and feedback to distributed and partner engineering teams. 1. Collaboration & Delivery • These tasks reflect collaboration with client and internal teams., • Works with client stakeholders, including on-site at the client office in Long Island City, NY 1–2 days a week., • Applies AI-assisted/spec-driven development practices across the delivery lifecycle. Requirements • 8+ years of overall experience, including strong hands-on Databricks experience, • Strong experience with Azure Databricks, Delta Lake, Unity Catalog, SQL and Python/PySpark, • Hands-on experience with Apache Airflow for orchestration and dbt Core for data transformation and modeling, • Experience building ingestion pipelines using APIs, databases, files and Databricks-native capabilities such as Lakeflow Connect and Auto Loader, • Strong understanding of Medallion Architecture (Bronze, Silver, Gold), data products, semantic modeling and data quality frameworks, • Experience with CI/CD, Git, automated testing and data pipeline monitoring, • Ability to review partner architecture, code, data models and pipelines, ensuring alignment with enterprise standards and reusable design, • Experience with AI-assisted/spec-driven development and working with distributed engineering teams C5i is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity, etc. If you have a disability or special need that requires accommodation, please keep us informed about the same at the hiring stages for us to factor necessary accommodations.

Manager of Software Engineering - FDE Forward Deployed Engineer Location: New York City, Dallas, Toronto (Hybrid) The Client: Manager of Software Engineering – Forward Deployed Engineering (AI) I’m partnering with a global technology leader making a major investment in the next generation of professional AI. This is an opportunity to lead within one of its flagship AI engineering teams, building agentic systems that are transforming how some of the world’s leading legal organizations work. As Manager of Forward Deployed Engineering, you’ll lead a team working directly with customers to take complex problems from discovery and prototype through production using LLMs, RAG, agents, and multi-step agentic workflows. This is a hands-on leadership role where you’ll remain close to the technology while owning team development, technical direction, and delivery. What you'll be working on: • Lead and support multiple Forward Deployed Engineering teams delivering complex AI solutions for enterprise customers., • Architect and guide scalable, secure AI and software solutions across the full development lifecycle., • Provide technical leadership across LLM-powered agents, RAG, system architecture, integrations, and production AI systems., • Work directly with customers to understand complex requirements and translate them into technical solutions, POCs, and production deployments., • Drive best practices across LLMOps, AI evaluation, monitoring, testing, security, and observability., • Turn successful customer-specific solutions into reusable engineering patterns and scalable product capabilities., • Hire, coach, mentor, and develop engineers while building a high-performing technical team., • Partner across Product, Engineering, Sales, and Customer Success to ensure customer feedback helps shape the broader AI product roadmap. What they're looking for: • 10+ years of software or solutions engineering experience, including 2+ years in engineering management or technical leadership., • Experience leading and growing teams of Forward Deployed, Solutions, Field, or customer-facing Software Engineers., • A strong technical foundation with the ability to remain hands-on rather than operating as a purely administrative manager., • Significant customer-facing experience, including technical discovery, architecture discussions, POCs, and enterprise deployments., • Strong Python development and backend engineering experience., • Hands-on experience building and deploying LLM-powered agents and AI applications into production., • Experience with RAG, agentic systems, AI evaluation, guardrails, observability, and production AI infrastructure., • Strong AWS experience alongside CI/CD, Docker, and modern cloud deployment practices., • Experience operating at the intersection of Product, Engineering, Sales, and Customer Success., • Legal technology or legal industry experience is a plus, but not required. This is a unique opportunity for a technical engineering leader who wants to combine people leadership with hands-on AI engineering — leading a customer-facing team while helping shape how production AI is built, deployed, and scaled across a global organization.

NO SPONSORSHIP - NO OPT Senior Cloud Engineer SALARY: $148,750-$192,500 LOCATION: 4 days onsite, NY Looking for a candidate with 6+ years with AWS. GCP and deep Kubernetes. Your responsibilities will be: • Build and maintain a globally distributed cloud infrastructure platform using Infrastructure as Code (e.g., Terraform), • Collaborate with Cloud Platform Engineering and business unit application teams to engineer infrastructure solutions for their cloud-based applications, • Design, deploy, and operate Kubernetes-based platforms and workloads (EKS, Cluster API), including GitOps workflows (e.g., Argo CD), • Support and enhance CI/CD pipelines and infrastructure automation, • Perform system and database maintenance, including application deployment, backup and restoration, patching, and upgrades, • Maintain cloud environments through incident response, troubleshooting, and performance tuning, • Participate in on-call rotations and support operational readiness The ideal candidate has • 6+ years of experience working with public cloud platforms (AWS and GCP preferred) in a professional setting., • Deep, hands-on experience deploying and managing Kubernetes (EKS, GKE) and GitOps (Argo CD)., • Deep, hands-on experience using Terraform, CI/CD tools (e.g., Jenkins, GitHub Actions), and scripting languages (Python) to deploy, maintain, and support cloud infrastructure., • Strong experience supporting containerized applications and Linux-based systems., • Strong understanding of networking, IAM, cloud observability, and common cloud services such as AWS VPC, EC2, S3, SNS, SQS, and Lambda., • Familiarity with managing secrets and sensitive configuration using tools such as HashiCorp Vault.

Applied AI Architect (Data, Systems & Governance) | Brillio Architect the Foundations of Enterprise AI Brillio is looking for an Applied AI Architect who can turn ambitious AI strategies into secure, scalable, enterprise-ready systems. You'll help determine how AI solutions should be designed, what models should power them, how enterprise data should flow through them, and how they can operate safely within highly regulated environments. About Brillio Brillio is one of the fastest-growing digital technology service providers, helping Fortune 1000 organizations turn disruption into competitive advantage through innovative digital adoption. Our professionals combine deep technology expertise, design thinking, and a strong commitment to client success to deliver transformative outcomes. Brillio is recognized year after year as a Great Place to Work®, giving talented technology professionals the opportunity to work with cutting-edge technologies and solve complex, high-impact business challenges. The Role As an Applied AI Architect, you'll own the technical foundations that make enterprise AI possible. You'll bring together data architecture, AI/ML systems, cloud platforms, enterprise integration, security, privacy, and governance to design solutions that can move beyond experimentation and into production. Role Responsibilities: • Design target architectures and scalable data pipelines for enterprise AI systems, • Architect ETL/ELT, feature stores, vector databases, knowledge layers, and AI data pipelines, • Evaluate and select AI models based on use case, performance, cost, latency, security, and governance requirements, • Design AI solutions that integrate with enterprise platforms including EHRs, core banking systems, CRM platforms, data lakes, and data warehouses, • Define and implement AI governance, compliance, privacy, and responsible AI frameworks, • Translate regulatory requirements into concrete technical and architectural controls, • Embed security, privacy, IAM, and data residency requirements from day one, • Design production environments across platforms such as Azure AI Foundry, AWS Bedrock, and Google Vertex AI, • Partner closely with AI Builders and Value Engineers throughout the lifecycle — from discovery through production, • Establish the foundations for MLOps, CI/CD, model lifecycle management, observability, monitoring, and evaluation, • Help move AI solutions from proof-of-concept into secure, scalable production environments Job Requirements: • Strong experience as an AI, ML, Data, Solutions, or Enterprise Architect, with hands-on experience designing and deploying AI solutions., • Strong understanding of Generative AI, Agentic AI, RAG, AI orchestration, and modern AI architectures., • Experience designing enterprise data architectures, pipelines, integrations, and scalable AI platforms., • Experience evaluating AI models and understanding the tradeoffs between commercial and open-source models, as well as RAG versus fine-tuning., • Experience with platforms and frameworks such as Azure AI Foundry, AWS Bedrock, Google Vertex AI, LangGraph, and LangChain., • Experience integrating AI with enterprise systems and APIs. Healthcare experience with FHIR/HL7, Epic, or Oracle is a plus, as is financial services experience with payment data and core banking platforms., • Strong understanding of AI governance, model risk management, responsible AI, privacy, security, and regulatory compliance., • Experience working within regulated environments, with exposure to requirements such as HIPAA, GxP/CSV, AML, Basel III, or SR 11-7 highly desirable., • Experience with enterprise security concepts including PHI/PII governance, data residency, VPC deployment, IAM, access control, and model inference security., • Experience with production AI engineering, including CI/CD, MLOps, model registries, monitoring, observability, and evaluation frameworks., • Strong communication skills and the ability to translate complex technical, business, security, and regulatory requirements into clear architectural decisions. If you're an architect who understands both the possibilities of AI and the realities of enterprise technology, security, data, and regulation, this is an opportunity to have a major impact. Join Brillio and help build the foundations for enterprise AI.

Please contact Kajal Daftary at kajal.daftary@yoh.com to discuss this role further. Please list the number of years in MUST HAVE SKILLS. LOCAL CANDIDATES ONLY AT THIS TIME. Python Developer w/ DBT, Oracle, Linux, Airflow Developer DBT needed Location: Jersey City, NJ - 3 days onsite Onsite interview is required. Hybrid role Must Haves: • Oracle database experience, • Finance experience is nice to have, • ETL background/Python Shell Script, • Linux both advanced & fundamental, • Airflow We’re seeking an experienced Python Developer to lead the automation and orchestration of complex data workflows. The ideal candidate will have hands-on experience designing robust, fault-tolerant, and auditable pipelines across on-prem Oracle systems, integrating with job schedulers like RunMyJobs, and modernizing legacy processes using Apache Airflow. You will play a critical role in replacing legacy Perl/PLSQL scheduling logic with modern, Python-based DAG orchestration while ensuring traceability, data quality, and recoverability. Key Responsibilities: • Develop, deploy, and maintain Python-based automation scripts to orchestrate jobs across Oracle 19c on-prem systems., • Design and implement Airflow DAGs to manage complex interdependent ETL workflows., • Migrate existing job logic from Perl, RunMyJob, and PL/SQL-based scheduling into modular, observable Airflow DAGs., • Build custom Airflow operators/sensors for integration with Oracle, REST APIs, file drops (SFTP/FTP), and external triggers., • Implement robust error handling, alerting and retry mechanisms across job pipelines., • Collaborate with DBAs and application teams to understand job dependencies, critical paths, and data lineage., • Establish job execution logs, audit trails, and SLA monitoring dashboards., • Participate in code reviews, documentation, and onboarding new jobs into the orchestrator. Required Skills and Experience: • 5+ years of Python development experience, with strong understanding of system/process automation., • 2+ years of Apache Airflow building production DAGs., • Solid understanding of Oracle 19c database, SQL tuning, and PL/SQL concepts., • Experience orchestrating jobs that move large volumes of data across enterprise systems., • Familiarity with job schedulers (RunMyJob, Autosys, etc.) and how to replace/abstract them using orchestration tools., • Strong debugging skills across logs, databases, and filesystem for failed jobs or partial runs., • Experience building REST API integrations, SFTP/file movement logic, and parameter-driven automation. Bonus / Preferred Experience: • Prior experience modernizing legacy data workflows from Perl or PL/SQL stored procs., • Hands-on knowledge of Git/Bitbucket, Jenkins, CI/CD pipelines for code-controlled job rollouts., • Familiarity with financial data models (e.g., holdings, transactions, NAVs, tax lots)., • Basic understanding of data governance, audit, and operational risk in financial systems. Estimated Min Rate: $70.00 Estimated Max Rate: $85.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs, • Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. 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We are seeking a highly experienced Senior Software Engineer with deep expertise in Python, Microsoft Azure, distributed systems, and production-grade AI applications. The ideal candidate has hands-on experience building, deploying, maintaining, and troubleshooting mission-critical systems at scale. This role requires an engineer who understands the operational realities of production environments, including live incident response, performance optimization, system reliability, and distributed failure management. Candidates should have a proven track record of owning production systems end-to-end and making sound technical decisions under pressure. This is a hands-on engineering position focused on developing and operating scalable backend services and AI-powered systems in production, rather than research, prototypes, or proof-of-concept development. Key Responsibilities • Production Engineering: Design, develop, and maintain production-grade Python services, ensuring reliability, scalability, performance, observability, and operational stability., • Azure Cloud Architecture: Build and operate Azure-native distributed systems using Azure Functions, Durable Functions, Event Grid, Service Bus, and related cloud infrastructure., • AI and LLM Orchestration: Develop and maintain production-ready AI applications, including Retrieval-Augmented Generation (RAG) pipelines, agentic workflows, and LLM orchestration frameworks such as LangChain, AutoGen, and Semantic Kernel., • Production Monitoring and Troubleshooting: Investigate and resolve production incidents using distributed tracing, log analytics, profiling tools, Azure Monitor, Application Insights, and other observability solutions., • Engineering Best Practices: Establish and maintain standards for code reviews, automated testing, CI/CD pipelines, safe deployments, rollback strategies, and incident post-mortems., • Distributed Systems Optimization: Identify and address performance bottlenecks, concurrency issues, scaling challenges, event-ordering problems, and downstream service failures., • Cross-Technology Collaboration: Contribute to secondary technology stacks, including C#, as needed, while demonstrating transparency regarding technical strengths and limitations. Required Qualifications • Professional Experience: Minimum of 8–10+ years of professional backend or distributed systems engineering experience, including hands-on ownership of production systems., • Python Expertise: Strong proficiency in Python, including performance optimization, concurrency, debugging, and production reliability., • Azure Production Experience: Extensive hands-on experience designing, deploying, and supporting applications in Microsoft Azure production environments, beyond certifications or lab-based projects., • Incident Management: Proven ability to investigate and resolve complex production incidents, identify root causes, implement corrective actions, validate fixes, and establish preventive measures., • Distributed Systems Knowledge: Strong understanding of distributed architectures, failure handling, scalability, reliability, and operational recovery., • Production Support: Experience participating in on-call rotations, troubleshooting live incidents, and maintaining service availability under high-load conditions., • Engineering Quality: Practical experience with testing strategies, code reviews, CI/CD, deployment safety, and production monitoring. Preferred Qualifications • Production AI and RAG Systems: Experience deploying and maintaining LLM-powered applications and RAG pipelines in production, including prompt drift, latency optimization, evaluation quality, and cost management., • High-Concurrency Architectures: Experience with queue-based systems, event-driven architectures, streaming platforms, or large-scale SQL and NoSQL workloads., • DevOps and CI/CD: Experience owning deployment pipelines, rollback mechanisms, operational automation, and release management., • C# Experience: Working proficiency in C# or experience contributing to applications built using multiple technology stacks. ABOUT BRICKRED SYSTEMS BrickRed Systems is a global leader in next-generation technology consulting and workforce solutions, specializing in delivering high-quality talent across digital, engineering, marketing, analytics, finance, operations, and business transformation domains. With a strong emphasis on innovation, scalability, and client success, BrickRed Systems helps organizations solve complex business challenges by providing skilled professionals across strategy, technology, creative, and operational functions. BrickRed fosters a culture of continuous learning, collaboration, and excellence, enabling professionals to contribute to high-impact global initiatives while advancing their careers.

Akkodis is seeking DevSecOps Engineer for a Contract job with a client in Charlotte, NC/Jersey City, NJ/Chandler, AZ - Hybrid (3 days on site in a Week). Ideally looking for applicants with a solid background in the financial services industry. Pay: $68-70/hour – All Inclusive; The rate may be negotiable based on experience, education, geographic location, and other factors. Key Responsibilities Design Implementation: Design, develop, and integrate solutions to gather security control evidence across multiple cloud platforms (e.g., AWS or Azure) to ensure the security and compliance of cloud infrastructure and workloads. Controls Evidencing and Enforcement: Identify security controls applicable to CI/CD pipelines and runtime environments to prevent misconfigurations and enforce security best practices and standards. Software Engineering Delivery: Develop and deliver software solutions that meet functional, non-functional, and regulatory compliance requirements; write, test, debug, and maintain code primarily using Java and/or Python and related technologies. Vulnerability management: hands-on experience with SCA, SAST, DAST vulnerability identification and remediation. CI/CD DevSecOps: Engage in continuous integration and deployment activities including automating build, test, and release pipelines; integrate security best practices into CI/CD processes and operational workflows. Quality Reliability: Troubleshoot defects, perform root-cause analysis, ensure software quality through unit, integration, and regression testing; contribute to code reviews. Collaboration: Work closely with cross-functional teams to refine requirements and deliver secure, maintainable capabilities. Compliance Governance: Demonstrate cloud environments comply with internal control requirements and regulatory obligations using robust reporting and dashboards. Cloud: Hands-on experience with AWS or Azure and software development life cycles (SDLCs). Deep knowledge of cloud platforms (AWS, Azure) and experience building and operating cloud-native services and business critical workloads. Programming: Strong hands-on experience with Python, Java, or other object-oriented programming (OOP) languages; ability to write clean, testable, maintainable code. DevSecOps / CI/CD: Strong understanding of DevSecOps principles; hands-on experience with CI/CD pipelines and related tooling and automating build/test/release workflows. Infrastructure as Code (IaC): Hands-on experience with Terraform, or CloudFormation Containers: Experience with Docker and orchestration tools such as Kubernetes. Databases: Solid knowledge of relational databases (Oracle, MySQL, PostgreSQL) and NoSQL; ability to write complex SQL queries and perform thorough data validations. APIs Systems Integration: Experience building and integrating with REST APIs and system interfaces, with emphasis on maintainability, availability, reliability, performance, and security. Preferred Technical Skills Cybersecurity: Significant experience in cybersecurity across multiple domains, with a strong focus on cloud security and integrating controls as code. Experienced in secure coding practices, authentication protocols, cryptography basics, identity and access management, and familiarity with security testing and vulnerability assessment. AI/ML: hands-on experience with agent-first development. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, please contact Aditya Singh at aditya.singh@akkodisgroup.com Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit _. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance

Data Quality and Responsible AI Specialist • Location: Newark, NJ (Onsite, 5 days per week), • Employment Type: Long-term Contract to Hire, • Client: Major Financial Firm, • Pay Rate: $55 to $62 per hour on W2, • No C2C. W2 only. About the Role • Sits at the intersection of Data Management and Governance, enterprise data quality, Responsible AI operations, data architecture, and technology risk management, • Embeds quality and governance controls directly into data delivery workflows, • Helps mature a control plane that provides visibility into AI data readiness, data quality health, control coverage, exceptions, remediation, and audit-ready evidence Key Responsibilities • Lead enterprise implementation of data quality and AI data readiness controls across data sources, data products, semantic products, and AI use cases, • Define what "AI-ready data" means, including quality thresholds, lineage and metadata completeness, source authorization, classification, access controls, and freshness, • Translate Responsible AI requirements into measurable data controls embedded in pipelines, certification workflows, metadata platforms, and dashboards, • Partner with data architects, engineering, platform, and domain teams to place controls across ingestion, transformation, publication, AI consumption, and runtime monitoring, • Perform hands-on conceptual, logical, physical, canonical, and semantic data modeling to support trusted data products and ADS certification, • Build reusable DQ and RAI control patterns, rule templates, evidence payloads, and implementation guidance, • Guide domain teams on DQ rules, thresholds, metrics, exceptions, and remediation, • Establish routines for profiling, rule execution, issue triage, root-cause analysis, remediation tracking, and recertification, • Integrate data quality controls into AI lifecycle gates, • Maintain control libraries for data quality, metadata, lineage, access, privacy, monitoring, and lifecycle governance, • Drive automation to reduce manual governance burden and improve audit readiness, • Define KRIs, KPIs, alerts, and reporting that give senior leaders visibility into data quality health and remediation progress, • Coordinate with business, product, engineering, security, privacy, legal, compliance, risk, model risk, and audit teams, • Maintain audit-ready documentation including control mappings, rule logic, test results, approvals, and remediation evidence, • Lead playbooks, standards, training, and enablement materials for DQ and RAI adoption at scale Required Skills and Experience • Strong experience in enterprise data quality, data governance, data management, data architecture, technology controls, or Responsible AI operations, • Strong understanding of enterprise data architecture, data products, data contracts, metadata, lineage, semantic layers, and governed lakehouse or cloud platforms, • Hands-on experience designing conceptual, logical, physical, canonical, dimensional, and semantic data models, • Hands-on knowledge of data quality frameworks: rule design, profiling, thresholds, observability, reconciliation, anomaly detection, and scorecards, • Ability to connect data quality outcomes to Responsible AI needs such as traceability, data suitability, bias and proxy risk, and privacy constraints, • Experience embedding controls into pipelines, workflows, metadata systems, or CI/CD processes, • Familiarity with AI/ML, generative AI, agentic AI, model lifecycle management, model registries, and production release controls, • Ability to map policy and regulatory expectations into practical requirements, testing procedures, and evidence, • Experience working with risk, compliance, legal, privacy, information security, model risk, and internal audit partners, • Ability to build metrics and dashboards on control coverage, effectiveness, exceptions, and remediation, • Excellent written and verbal communication skills, including with executives, • Strong execution and leadership skills, including backlog management, stakeholder alignment, and delivery against milestones Preferred Qualifications • Experience in a regulated industry such as financial services, insurance, or healthcare, • Experience with Responsible AI, AI governance, model risk management, technology risk, or operational risk frameworks, • Experience designing DQ rule libraries, control catalogs, evidence schemas, and automated control testing, • Experience defining operating models, RACI, decision rights, and executive reporting, • Technical fluency with SQL, Python, APIs, YAML/JSON, rules engines, and test automation, • Bachelor's degree in computer science, data science, engineering, information systems, risk management, or related field; advanced degree or certifications preferred Tools and Technology Exposure • Data Quality and Observability: Ataccama ONE, Informatica Data Quality, Collibra Data Quality, Soda, Monte Carlo, Great Expectations, • Metadata, Catalog, and Lineage: Informatica CDGC, Collibra, Microsoft Purview, Alation, OpenLineage, • Responsible AI and ModelOps: IBM watsonx.governance, AWS AgentCore, AWS Guardrails, Azure AI Studio, Azure Machine Learning, MLflow, Databricks Mosaic AI, • Cloud and Data Platforms: AWS, Azure, Snowflake, Databricks, Microsoft Fabric, • Pipeline and Orchestration: Airflow, Azure Data Factory, AWS Glue, dbt, GitHub, GitLab, Jenkins, • Workflow and Reporting: ServiceNow, Jira, Power BI, Tableau What Success Looks Like • DQ and AI data readiness requirements are embedded into workflows, pipelines, and platforms with clear ownership, • AI products consume governed, traceable, fit-for-purpose data from certified sources, • DQ and RAI control checks are increasingly automated and backed by audit-ready evidence, • Dashboards provide timely visibility into data quality health, risk posture, and remediation, • Teams understand required controls and can demonstrate compliance without unnecessary friction Ideal Candidate • Senior, hands-on lead who bridges data architecture, data quality, Responsible AI, and control operations, • Comfortable working with architects, engineers, domain teams, AI teams, and risk and audit partners, • Practical mindset: governance embedded by design, measured through data, and automated where possible

The ideal candidate will be a hands-on engineer who can design, develop, test, integrate, deploy, and support complex enterprise applications. This person should be comfortable working across API development, front-end development, databases, messaging, serverless computing, data platforms, and system integrations. Job Duties: · Design, develop, test, and maintain high-quality .NET / C# REST APIs. · Develop modern, scalable front-end applications using Angular and TypeScript. · Design and implement complex SQL queries, stored procedures, views, functions, and database solutions. · Analyze and optimize SQL queries and database performance. · Build integrations between internal applications, third-party systems, databases, and cloud services. · Develop event-driven integrations using Azure Service Bus, including queues, topics, subscriptions, and message processing. · Develop and maintain Azure Functions for APIs, background processing, scheduled jobs, and integrations. · Work with Azure Databricks and Databricks notebooks for data processing, transformation, and integration. · Develop data pipelines and integrations between applications, databases, APIs, and data platforms. · Work with both synchronous and asynchronous integration patterns. · Integrate with REST APIs, SOAP services, databases, files, messaging systems, and third-party applications. · Develop robust error handling, retry mechanisms, logging, monitoring, and alerting for integrations. · Write comprehensive unit, integration, API, and data-level tests. · Troubleshoot application, API, database, messaging, and integration issues. · Participate in code reviews and maintain high standards for code quality and security. · Work with Azure DevOps and CI/CD pipelines for automated build, testing, and deployment. · Collaborate with architects, developers, QA engineers, data engineers, and business stakeholders. · Support applications in development, test, and production environments. · Identify opportunities to improve performance, scalability, reliability, and maintainability.

Job Title: Oracle Database/Exadata Engineer Consultant Duration: 12 month contract, with extension possible to 18 months Location: Jersey City, NJ (3 days per week onsite) Other Approved Locations: Charlotte, NC or Plano, TX Pay Scale: $85-90/hr W2 (Cannot subcontract or C2C) Job Description: We are seeking a Senior Database Engineer with deep expertise in Oracle Database platforms, Exadata, and advanced automation. In this enterprise-level role, you will be responsible for defining, architecting, and deploying cutting-edge Infrastructure as Code (IaC) solutions. The ideal senior candidate will specialize in building end-to-end pipelines that automate the deployment and lifecycle management of modern database infrastructure, focusing on high availability, security, and enterprise efficiency. Key Responsibilities • Infrastructure as Code (IaC) Development: Design and develop automated infrastructure provisioning templates using Ansible Playbooks, Ansible Tower, and Shell scripting to robustly deploy Oracle Databases on the DBaaS Exadata platform., • End-to-End Architecture: Lead the design and implementation of holistic, end-to-end automation solutions for Oracle enterprise products leveraging Terraform., • CI/CD Integration: Build, maintain, and optimize robust database deployment and infrastructure delivery pathways within modern CI/CD pipelines., • Enterprise Operations: Standardize on-premise and cloud-based engineering patterns, driving operational excellence and mitigating manual intervention across complex enterprise environments. Required Experience & Qualifications • Experience Level: Senior-level candidates only., • Database Expertise: 8+ years of dedicated experience with Oracle database engineering, core administration, and a deep architectural focus on the Exadata platform., • Automation Mastery: At least 7 years of hands-on experience with Terraform and Ansible is highly recommended to manage daily engineering responsibilities. Must be an expert in authoring Ansible Playbooks and managing environments via Ansible Tower., • Scripting Skills: Strong, demonstrable proficiency with complex Shell scripting and automation processes. About Matlen Silver: Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works. Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at: info@matlensilver.com // 908-393-8600.

Role: AI Lead Architect – RAG & Python Location: NYC, NY/Charlotte, NC We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge We are looking for a hands-on AI Lead Architect with strong experience in Generative AI, Retrieval-Augmented Generation (RAG), Python, LLMs, cloud platforms, and enterprise technology architecture. The role involves designing and delivering scalable AI solutions, building end-to-end RAG pipelines, integrating LLMs and vector databases, developing Python APIs and services, and deploying AI applications into production. The candidate will also establish AI governance, security, monitoring, evaluation, and LLMOps practices. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within NYC/Charlotte, NC is $125k-$150k/year & benefits (see below).. The Role Responsibilities: • Lead the architecture and delivery of enterprise AI and Generative AI solutions., • Design and implement RAG pipelines, including ingestion, chunking, embeddings, retrieval, reranking, and response generation., • Develop production-grade Python applications, APIs, and AI workflows., • Work with LLMs, prompt engineering, AI agents, tool calling, and model evaluation., • Use cloud platforms such as AWS, Azure, or Google Cloud., • Implement Docker, Kubernetes, CI/CD, MLOps, and LLMOps practices., • Ensure AI solutions are secure, compliant, observable, scalable, and cost-effective., • Lead technical discussions, mentor engineering teams, and collaborate with business stakeholders. Requirements: • Experienced in software engineering, architecture, data engineering, or machine learning., • 3+ years of hands-on experience delivering AI or Generative AI solutions., • Strong Python development experience., • Proven experience building and deploying RAG applications., • Knowledge of LLMs, embeddings, semantic search, vector databases, APIs, and cloud architecture., • Experience with frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar., • Familiarity with Docker, Kubernetes, CI/CD, databases, security, and automated testing We offer: • A highly competitive compensation and benefits package., • A multinational organization with 58 offices in 20 countries and the possibility to work abroad., • 10 days of paid annual leave (plus sick leave and national holidays)., • Maternity & paternity leave plans., • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)., • Retirement savings plans., • A higher education certification policy., • Commuter benefits (varies by region)., • Extensive training opportunities, focused on skills, substantive knowledge, and personal development., • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses., • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups., • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms., • A flat and approachable organization., • A truly diverse, fun-loving, and global work culture SYNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Cloud Kubernetes platform engineer (Need locals to NJ for F2F interview) Location: jersey city, NJ Contract role Required Qualifications • 5+ years of hands-on experience with Kubernetes in production environments, • 3+ years with Azure AKS and/or Google GKE, • 3+ years with Terraform (HCL) — writing modules, managing state, working with Terraform Enterprise or Terraform Cloud, • 2+ years with ArgoCD or equivalent GitOps tooling (Flux), • Strong experience with container security scanning and vulnerability remediation, • Proficiency with Linux, shell scripting (Bash), and at least one of: Go, Python, • Deep understanding of Kubernetes networking: CNI plugins (Azure CNI, Calico, Kubenet), network policies, ingress controllers, DNS, load balancers, • Experience with Kubernetes RBAC, Azure AD/Entra ID integration, Managed Identities, and Workload Identity, • Experience with CI/CD pipelines using GitLab CI, Jenkins, or TeamCity, • Familiarity with monitoring stacks: Prometheus, Grafana, Splunk, or equivalent

Job Title: Cloud Infrastructure Engineer Duration: 12+ Months Location: Plano, Texas, Charlotte, NC, or Jersey City, NJ Cloud Infrastructure Automation Engineer Profile Types We Are Searching For • Cloud Infrastructure Automation Engineer, • DevOps / Infrastructure Automation Engineer, • Cloud Automation EngineerWe are looking for a hands-on infrastructure automation engineer who can translate business and infrastructure requests into technical solutions and build the automation to deliver them. The ideal candidate will have strong Ansible and Terraform experience, hands-on development skills, and experience automating infrastructure across on-premises and public cloud environments. Project Details • Ongoing infrastructure automation and cloud engineering initiatives, • Build and maintain automation that can provision, configure, and manage infrastructure across multiple endpoints, • Automate workflows across VMware, Windows, Linux, and public cloud environments, • Support messaging and event-driven infrastructure across on-premises and cloud platforms, • Work in an Agile environment and collaborate with infrastructure, application, and business teamsMust-Haves / Required Skills, • Strong hands-on experience with Ansible, including developing and maintaining automation/playbooks, • Strong hands-on experience with Terraform for infrastructure automation and provisioning, • Hands-on development/coding experience; able to build and troubleshoot automation rather than simply execute existing scripts, • Experience translating business or infrastructure requirements into technical automation solutions, • Experience automating across on-premises infrastructure and public cloud environments, • Experience with MQ (Message Queue) at a basic to mid-level, • Experience with IBM MQ in both on-premises and cloud environments, • Experience with AWS, particularly Amazon MSK, • Experience with Azure Event Hubs, • Experience automating against multiple infrastructure endpoints, such as:, • VMware, • Windows, • Linux, • AWS / Azure, • Experience working in an Agile development environmentWhat They’ll Do, • Build infrastructure automation using Ansible and Terraform, • Develop automation that can interact with VMware, Windows, Linux, AWS, Azure, and other infrastructure endpoints, • Translate requests from business and infrastructure teams into practical technical solutions, • Automate provisioning, configuration, deployment, and operational tasks, • Support and automate MQ environments, including on-premises IBM MQ and cloud-based messaging technologies, • Work with AWS MSK and Azure Event Hubs as part of cloud messaging/event-driven solutions, • Develop and troubleshoot automation code and scripts, • Collaborate with infrastructure, cloud, application, and business teams in an Agile environment, • Identify manual infrastructure processes that can be automated and develop solutions to improve efficiency and consistencyNice-to-Haves, • Deeper IBM MQ administration or engineering experience, • Experience with additional AWS/Azure infrastructure services, • Python or other scripting/programming experience, • Experience integrating automation with APIs and infrastructure management platforms, • Experience with CI/CD pipelines and automated infrastructure deployment, • Financial services or other large enterprise experience About Matlen Silver Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works. Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at: info@matlensilver.com // 908-393-8600 At The Matlen Silver Group, Inc., W2 employees are eligible for the following benefits: • Health, vision, and dental insurance (single and family coverage), • 401(k) plan (employee contributions only)

Our client, an asset management firm in New York City, is hiring a Full Stack .NET Developer for a consulting engagement on its financial operations platforms. Responsibilities • Help shape the design of enhancements to the platforms, • Build new features across the C# back end and Angular front end, • Handle releases as updates go to production, • Troubleshoot and fix bugs as they come up, • Produce one-off reports when requested, • Review and clarify business requirements with Business Analysts, • Work closely with the client’s New York development team Requirements • 5+ years of hands-on C# and ASP.NET development on .NET Core or the .NET Framework, • Experience writing unit tests, • Strong front-end skills in Angular, • Hands-on work developing RESTful APIs, • Agile delivery experience, including Git version control, refactoring and mocking, • Strong SQL, ideally on Microsoft SQL Server or another relational database, • A firm grounding in OOP principles, common design patterns and coding best practices, • Comfort adjusting to shifting priorities on financial software projects, • Ability to pick up new tools and bring forward ideas to improve processes, • Openness to working in technologies outside .NET Pluses • Working knowledge of a CI/CD or DevOps platform, • Exposure to an API integration platform, • Prior work on financial operations systems The role is hybrid, working from the client’s New York City office part of the week. Work Authorization: Candidates must be currently authorized to work in the United States without employer sponsorship, now or in the future. H-1B transfers and visa sponsorship are not supported for this position.

Title: Azure Solution Architect - Data and AI Location: New York, NY (Hybrid) Mode of Interview: Interview may be conducted in-person in NYC office Client is looking for an experienced Azure Solution Architect specializing in Data and AI to join our growing architecture team. This role will work with prospective and existing clients to understand business and technical requirements, shape high-value Microsoft Azure solutions, identify opportunities to apply Acuity accelerators, and provide technical ownership from presales through to successful delivery. Our solution architects balance their time across client delivery, presales (RFI/RFP), and innovation: approximately 50% client deliverable, 25% presales engagement, and 25% proposition development, market insight, thought leadership, and continuous learning. Responsibilities • Partner with Sales, Technical Leads, Delivery Managers, and client stakeholders to shape and deliver innovative data and AI solutions., • Explore customer needs from both technical and functional perspectives, translating business objectives into secure, scalable Azure architectures., • Lead end-to-end presales solution architecture for cloud data platforms, analytics, AI, governance, and supporting technologies., • Design elegant, pragmatic solutions that are commercially viable, deliverable, and aligned to client outcomes., • Contribute to the evolution of Acuity’s data, analytics, and AI accelerators, reference architectures, and reusable propositions., • Provide technical oversight during delivery to ensure the agreed architecture is realized effectively., • Create and present compelling proposals that clearly communicate business value, return on investment, and delivery approach., • Evaluate emerging technologies, monitor market trends, and help incorporate relevant advances into Acuity’s architecture practice., • Develop and maintain strong relationships with senior stakeholders, including C-suite decision makers., • Manage client expectations, support delivery confidence, and help ensure high levels of client satisfaction. Ideal qualifications and skills • Proven experience as an Azure Solution Architect with a strong focus on Microsoft Data and AI solutions., • Current, hands-on experience with Azure data and AI technologies such as Microsoft Fabric, Azure Synapse Analytics, Azure Databricks, Spark, Python, GitHub, Azure Data Factory, Azure Data Lake, Power BI, Azure AI services, and Microsoft Purview., • Strong data analysis, modelling, integration, governance, and architecture skills., • Good understanding of Azure infrastructure, security, identity, networking, monitoring, and operational considerations., • Experience with CI/CD practices, automated testing, DevOps ways of working, and modern engineering standards., • Commercial Agile delivery experience, ideally across consulting, enterprise, and mid-market environments., • Ability to estimate, cost, and shape solutions while understanding the impact of architectural choices on project delivery., • Experience working with organizations ranging from small and medium-sized customers to large enterprises., • Excellent verbal, written, and presentation skills, with the ability to communicate clearly with technical and non-technical audiences., • Microsoft certification is preferred, particularly Azure Solutions Architect Expert or relevant Data and AI certifications We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. _

Forward Deployed Engineer Location: Remote (US) | Type: Contract, Full Time | Experience: 4+ years About the Role We're hiring Forward Deployed Engineers to take AI from a promising prototype to something people use every day. You'll scope the problem with the client, write the code, connect it to their systems, and stay with it until it works in production. These are full-time contract engagements with enterprise teams and AI-focused companies in industries like energy, healthcare, financial services, and industrial operations. Some weeks look like backend engineering. Others look like consulting: running a working session with operators, figuring out what the data can actually support, and telling a VP what's realistic. If you've built an agent or RAG system that impressed people in a demo and then watched it stall before launch, this is the job where you get to finish it. What You'll Do • Sit in discovery with client stakeholders and turn loose business goals into scoped, buildable work, • Build LLM applications, agents, and retrieval systems in Python that hold up under real latency, cost, and security limits, • Connect models to the systems the client already runs: APIs, data warehouses, internal tools, and MCP servers where they fit, • Write evals before calling anything done, and use them to decide what to fix next, • Deploy on AWS, Azure, or GCP and own what happens after launch, • Some of the work is integration and cleanup. Better to say that now than surprise you later, • Explain trade-offs to technical and non-technical audiences, in writing and in the room, • Bring what you learn in the field back to the team so the next engagement starts further ahead Qualifications Engineering • 4+ years writing production software, with Python as a primary language, • Shipped at least one LLM-powered system to real users (agents, RAG, tool use, or structured extraction), • Comfortable with cloud deployment, APIs, and the unglamorous parts like auth, logging, and CI/CD, • Working knowledge of how to evaluate LLM output, beyond eyeballing it Client-Facing • Experience in a customer-facing technical role: consulting, solutions engineering, implementation, or a startup where you talked to users directly, • You can run a meeting, write a clear status update, and push back on a bad requirement Nice to Have • Experience with MCP, agent frameworks, or orchestration tooling, • Background in a regulated industry such as healthcare, finance, energy, or government, • You use AI tools daily in your own work and have opinions about which ones are worth it Why Join Us You'll work alongside engineers and strategists who've delivered AI across a lot of enterprise environments, so you won't be figuring out client work alone. Engagements are scoped around outcomes, not hours of busywork, and you'll have a team behind you that knows how to run them. New engagements open on a rolling basis. Apply once and we'll match you to the ones that fit your background. To apply, click Apply on LinkedIn

Hybrid 4 days on-site in Jersey City in Jersey City, NJ Our client seeks a senior back-end engineer to build scalable data services in Java and modernize critical custody systems. The role requires expertise in Spring-based microservices, distributed cloud services, and distributed data platforms. You will collaborate with product, quality, and cross-functional teams to solve design and architectural challenges and leverage open-source technologies. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $90.00 to $85.00/hr. w2 Responsibilities • Design and develop scalable back-end data services using Java frameworks., • Work within Agile methodology and share software development best practices with the team., • Collaborate with product owners, quality engineers, and cross-functional teams to deliver solutions and resolve design and architectural challenges., • Leverage open-source technologies to meet business needs., • Contribute to the modernization of a custody system with financial market impact. Experience Requirements • 12+ years of software development experience., • Proven commercial experience with Java., • Strong knowledge of Spring, Spring Boot, Lombok, JUnit, and Swagger., • Experience building microservices., • Experience with distributed cloud services, preferably Azure., • Experience with distributed data technologies such as Kafka, MQ, or Spark., • Experience designing and integrating REST and GraphQL APIs., • Working knowledge of relational and in-memory databases including Oracle and Redis., • Familiarity with Angular (preferred)., • Hands-on experience with Snowflake (preferred)., • Proficiency in an additional programming language such as Python, C++, or Groovy (preferred)., • Experience with CI/CD tools such as Jenkins, Harness, Ansible, and Docker (preferred)., • Investment industry knowledge (preferred). Education Requirements • BS degree in Computer Science or Engineering.

Senior Data Engineer — Contract Location: Hybrid — 3 days/week onsite in Newark, NJ About the Role Join a major investment firm as a Senior AWS Data Engineer supporting enterprise data platform initiatives. This role focuses on building scalable data pipelines, CI/CD automation, and end-to-end data solutions across the AWS ecosystem. Experience with Informatica (data catalogue, marketplace, data lineage, data quality), Denodo, and/or Ataccama is a strong plus. Qualifications • Bachelor's degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience, • 8+ years of experience as a Data Engineer on the AWS stack, including DevOps tooling, • AWS Solutions Architect or AWS Developer Certification required, • Strong hands-on experience with AWS services, including:, • CloudFormation, S3, Athena, Glue, Glue DataBrew, EMR/Spark, • RDS, Redshift, DynamoDB, Lambda, Step Functions, • IAM, KMS, SM, EventBridge, EC2, SQS, SNS, • LakeFormation, CloudWatch, CloudTrail, DataSync, DMS, • Experience implementing high-velocity streaming solutions using Amazon Kinesis, AWS Managed Airflow, and AWS Managed Kafka (preferred), • Proven experience building AWS data lake/data warehouse solutions, • Skilled in designing, developing, and implementing data ingestion pipelines on AWS, • Knowledge of ETL/ELT implementation for data solutions, • Experience delivering end-to-end data solutions: ingest, storage, integration, processing, and access, • Familiarity implementing RBAC strategies using AWS IAM and Redshift RBAC model, • Experience building and implementing CI/CD pipelines using CloudFormation and Jenkins, • Strong programming skills in Python, Shell scripting, and SQL, • Experience with SQL stored procedures for data analysis, • Experience building automated pipelines to ingest data from relational databases, file systems, and NAS shares into AWS RDS, Aurora, and Redshift, • Experience building automated pipelines to ingest data from REST APIs into AWS S3 and relational databases, • Solid DevOps background, including:, • Bitbucket (source code management), • Python, Shell, Groovy scripting, • API deployment for tooling integration, • Jenkins and CloudBees (Pipeline as Code, Shared Libraries), • SonarQube, Artifactory, and similar DevOps tools, • Maven, MS Build, Gradle, • Docker, • Jira and Confluence, • Infrastructure as Code via CloudFormation, • Experience creating Jenkins CI pipelines integrating Sonar/security scans and test automation, • Ability to accurately document exceptions, issues, action plans, meeting minutes, and lessons learned Responsibilities • Design, build, and maintain efficient, reusable, and reliable code, • Ensure optimal performance and quality of high-scale data applications and services, • Participate in system design discussions, • Independently perform hands-on development and unit testing, • Collaborate with the development team to integrate components into the enterprise data platform, • Work cross-functionally with product, QE/QA, and other teams throughout the full software development lifecycle, • Identify and resolve performance issues, • Stay current with emerging technologies and implementation practices, • Participate in code reviews to ensure standards and best practices are met, • Take ownership of estimating, planning, and managing tasks in an Agile environment, • Take shared responsibility for software quality rather than relying on separate QA teams, • Collaborate closely with all team members toward shared goals, • Engage with users as needed to clarify requirements

Junior Analytics Engineer Role Overview The Junior Analytics Engineer will be an integral member of the Data Analytics and Insights team, developing and maintaining data models, analytics solutions, and interactive reporting applications that support decision-making across private real estate investment funds. This role will focus on leveraging Sigma Computing and Snowflake to transform complex financial and operational data into scalable, user-friendly analytics solutions. The ideal candidate has a strong foundation in SQL, data modeling, and business intelligence, with an interest in bridging data engineering and business-facing analytics. Working closely with Data Engineers, Business Analysts, and investment stakeholders, this individual will help build reliable datasets, streamline reporting workflows, and deliver actionable insights across fund performance and operations. Key Responsibilities • Develop and maintain interactive dashboards, reports, and data applications primarily using Sigma Computing, supporting monthly and quarterly fund performance and operational reporting., • Build, optimize, and maintain SQL-based datasets and data models in Snowflake to support reporting, analytics, and business intelligence., • Transform raw source data into clean, structured, reusable datasets that support consistent reporting and analysis., • Apply dimensional modeling principles to design fact and dimension tables, star schemas, and business metrics aligned with fund valuation and reporting requirements., • Write and optimize complex SQL queries using joins, aggregations, CTEs, subqueries, and window functions across multiple data sources., • Partner with Data Engineers to understand source systems, troubleshoot data pipeline issues, and ensure reliable data availability for downstream analytics., • Collaborate with Business Analysts, fund managers, and portfolio teams to translate business requirements into effective data models, KPIs, and Sigma-based reporting solutions., • Validate data accuracy, reconcile discrepancies, and troubleshoot inconsistencies across datasets, dashboards, and reporting outputs., • Implement data quality checks, testing procedures, and validation processes to maintain the integrity of analytics solutions., • Document data models, business logic, metric definitions, and reporting workflows to promote consistency and maintainability., • Support the deployment, monitoring, and ongoing enhancement of analytics solutions, ensuring performance, scalability, and accuracy., • Contribute to analytics engineering best practices, including version control, code reviews, and standardized development workflows. Core Qualifications & Requirements • 1–3 years of experience in data analytics, analytics engineering, business intelligence, or data engineering., • Hands-on experience with Sigma Computing or a comparable modern BI platform, with a strong interest in building interactive, data-driven reporting solutions., • Strong SQL proficiency, including joins, aggregations, CTEs, subqueries, and window functions., • Experience working with Snowflake or another cloud-based data warehouse., • Solid understanding of dimensional data modeling, including fact and dimension tables, star schemas, and data relationships., • Experience developing dashboards, reports, or analytical applications that support business decision-making., • Familiarity with data transformation frameworks such as dbt or equivalent tools., • Understanding of data pipelines, source system integration, and data quality assurance., • Strong analytical, troubleshooting, and data validation skills with exceptional attention to detail., • Excellent communication skills and the ability to translate business requirements into technical solutions., • Bachelor's degree in Computer Science, Data Analytics, Finance, or a related field, or equivalent practical experience. Nice-to-Have Qualifications • Experience building dashboards, reports, or data applications in Sigma Computing., • Exposure to Power BI, Tableau, or other business intelligence platforms., • Experience with Snowflake and cloud environments such as AWS., • Familiarity with data orchestration and workflow tools such as Airflow., • Exposure to dbt, DataHub, data lineage, or automated data quality testing., • Experience within private equity, real estate, asset management, or financial services., • Familiarity with Git, version control, CI/CD, and modular development practices., • Understanding of fund reporting, investment performance, or portfolio operations. Core Technical Skills • Primary BI Platform: Sigma Computing, • SQL: Joins, CTEs, aggregations, window functions, query optimization, • Data Warehouse: Snowflake, • Data Modeling: Dimensional modeling, fact and dimension tables, star schemas, • Data Transformation: dbt or equivalent, • Cloud Infrastructure: AWS or similar cloud platforms, • Data Pipelines: Airflow or comparable orchestration tools, • Data Quality: Testing, validation, reconciliation, and troubleshooting, • Development Practices: Git, version control, documentation, and deployment workflows, • Secondary BI Tools: Power BI, Tableau, or similar platforms

Job Role- Sr Data Architect with Finance domain experience Location- NYC, NY (Hybrid) Job Type-Fulltime About the Role We're looking for a hands-on Lead Data Architect to anchor the US side of a multi-year data platform modernization for a leading global financial services client. The program moves on-premises Hadoop workloads to Snowflake. You'll own the target architecture, work with client stakeholders, guide an India-based delivery team through an AI-assisted migration approach, and help grow the account by identifying new opportunities and shaping solutions for them. What You'll Do • Define the target Snowflake architecture, including data models, layering, and ingestion and transformation patterns., • Lead assessment and design for Hadoop-to-Snowflake migrations, deciding which assets to migrate, re-engineer, archive or retire., • Guide conversion of Hive, Spark, Python and shell workloads to Snowflake SQL and Snowpark, using AI-assisted tools with clear review controls., • Set the validation approach: reconciliation, data-quality rules, parallel runs, cutover and rollback., • Work with client architecture, security and governance teams on access, retention and compliance decisions., • Identify new growth opportunities within the account, such as further migration domains, data platform and AI-enabled consumption initiatives, by building relationships with client architects and business stakeholders., • Recommend solutions and shape proposals for these opportunities, working with Altimetrik account, sales and delivery leadership on scope, approach, estimates and commercials., • Mentor engineers and support estimates, scope and risk management. What You Bring • 12+ years in data engineering and architecture, with 4+ years of hands-on Snowflake experience., • Proven Hadoop (Cloudera, Hive, Spark) to cloud data platform migration delivery., • Strong SQL, Python and Spark; working knowledge of Snowpark, orchestration and CI/CD for data pipelines., • Experience with data modeling, lineage and reconciliation in a regulated environment., • Experience leading distributed teams and presenting to senior client stakeholders., • Track record of solutioning and proposal development, including identifying client needs, framing solutions and contributing to winning new work., • Preferred: financial services background, generative AI tooling for code conversion, SnowPro Advanced Architect certification.

OPA / POLICY-AS-CODE ENGINEER — IT ARCHITECTURE Location: Jersey City, NJ — Hybrid, 2–3 Days/Week Engagement: 3–6 Month Contract-to-Hire Compensation: Highly Competitive Compensation, Based on Expertise ABOUT THE ROLE We are seeking a highly technical, hands-on OPA / Policy-as-Code Engineer to join a lean IT Architecture team supporting a major global financial-market infrastructure organization that clears and settles trillions of dollars in financial transactions every day. This role is part of a high-visibility Enterprise Backstage / Internal Developer Platform POC focused on building standardized Golden Paths for secure, governed, automated developer self-service. This is a POC WITH AN ENTERPRISE DESTINATION — successful patterns are intended to support broader enterprise adoption. THE CORE TEAM You will join a lean, highly technical team consisting of: • 3 Multi-Skilled Backstage Engineers, • CI/CD Engineers, • SRE / Observability Engineers, • OPA / Policy-as-Code Engineer — this position Every engineer has meaningful ownership, visibility, and impact. WHAT YOU WILL DO • Develop production-quality OPA / Rego policies., • Implement policy enforcement, governance guardrails, and compliance validation within provisioning workflows., • Integrate OPA with Terraform, CI/CD/Jenkins, Backstage, Kubernetes, and OpenShift., • Help determine how Backstage and Golden Paths should integrate with and adhere to the CENTRALIZED ENTERPRISE OPA / POLICY-AS-CODE framework., • Translate governance, security, and compliance requirements into executable policies., • Support cloud governance, IAM, security guardrails, tagging standards, and policy-driven infrastructure automation., • Identify technical and architectural gaps, recommend solutions, and help implement them. WHAT WE ARE LOOKING FOR • Strong production-level Open Policy Agent (OPA) experience, • Strong Rego development experience, • Policy-as-Code within CI/CD pipelines, • OPA + Terraform integration experience, • Kubernetes / OpenShift, • Jenkins / CI/CD, • Cloud Governance, IAM, Security, and Compliance, • Enterprise security patterns, • Ability to translate governance requirements into executable Policy-as-Code STRONG PLUS • Conftest and/or OPA Gatekeeper, • Backstage / Internal Developer Platform experience, • Regulated-industry experience — Financial Services, Banking, FinTech, Healthcare, or Government, • Experience translating NIST, SOC 2, or internal controls into Policy-as-Code WHO WE WANT Technical skills are essential, but they are NOT ENOUGH. We are looking for someone who is: • TECHNICALLY STRONG — deep, hands-on engineering capability, • A PROBLEM SOLVER — brings solutions, not just problems, • AN INITIATOR — does not wait for tickets or detailed instructions, • A TEAM PLAYER — collaborates effectively across a lean engineering team, • AN OWNER — takes responsibility through delivery, • AN ARCHITECTURAL THINKER — builds for enterprise scale, not just the POC We want someone comfortable saying: “Here are the options, here are the trade-offs, and here is what I recommend — and I can help build it.” WHY THIS OPPORTUNITY This is a lean, high-visibility IT Architecture team where every engineer matters. Our guiding principle is: MAKE THE COMPLIANT PATH THE EASIEST PATH FOR THE DEVELOPER. Exceptional performers may be considered for full-time conversion, potentially around the Associate Director level, based on performance, demonstrated value, business need, and leadership approval. HIRING PROCESS Technical & Behavioral evaluation → Leadership discussion → Final selection/onboarding.

Senior Site Reliability Engineer (Terraform & AWS) Location: New York, NY 10007 Work Arrangement: Hybrid, onsite Tuesday through Thursday Employment Type: Full-time, Permanent US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time About the Role We are seeking a Senior Site Reliability Engineer to help build, scale, and operate secure, reliable cloud infrastructure and internal developer platforms supporting healthcare products used by enterprise physician groups. This is a hands-on individual contributor role for an engineer who combines strong software development skills with deep cloud infrastructure expertise. You will take ownership of infrastructure automation, platform engineering, data infrastructure, and production reliability, helping engineering teams deliver software faster and more safely. Strong, practical experience with Terraform and AWS is essential. We are looking for someone who builds scalable solutions, improves engineering standards, and takes ownership of systems from design through production operations. Key Responsibilities • Cloud Infrastructure & IaC: Design, build, and maintain secure, scalable AWS infrastructure using Terraform, reusable modules, and standardized deployment patterns., • Platform Engineering: Build and improve internal developer tooling, CI/CD pipelines, automated testing, and local and ephemeral development environments., • Reliability & Observability: Establish monitoring, alerting, and distributed tracing standards using Datadog. Improve system availability, performance, and operational resilience., • Data Infrastructure: Own and improve PostgreSQL, Amazon RDS/Aurora, DynamoDB, and Snowflake environments, with a focus on high availability, backups, disaster recovery, and database migrations., • Automation & Software Engineering: Develop Python-based automation and infrastructure tooling while maintaining high standards for code quality, testing, maintainability, and security., • Security & Compliance: Strengthen IAM, network security, and sensitive data protection practices in a regulated healthcare environment, supporting HIPAA and SOC 2 requirements., • Engineering Collaboration: Partner with product and engineering teams to remove technical bottlenecks, establish best practices, and build reusable platform capabilities., • AI-Assisted Development: Use AI coding tools such as Claude Code to accelerate development, review, and troubleshooting, with appropriate validation and engineering oversight. Required Qualifications • 6+ years of software engineering experience, including at least 3 years in DevOps, Site Reliability Engineering, platform engineering, or cloud infrastructure., • Strong, hands-on experience with Terraform and Infrastructure as Code, including infrastructure provisioning and reusable modules., • Solid experience designing, deploying, and operating production workloads on AWS., • Proficiency in Python 3, scripting, and automation., • Experience with AWS services such as ECS/Fargate, Lambda, and Step Functions., • Experience with Docker, containerized workflows, GitHub, and CI/CD pipelines, including GitHub Actions., • Experience with Datadog or comparable observability platforms for monitoring, alerting, and tracing., • Working knowledge of PostgreSQL and cloud database services, ideally Amazon RDS/Aurora, including reliability, backups, and recovery., • Experience building and operating production systems with a focus on security, performance, and reliability., • Strong problem-solving skills, engineering judgment, and a demonstrated sense of ownership. Preferred Qualifications • Experience with Snowflake or similar cloud data platforms and DynamoDB., • Familiarity with workflow orchestration tools such as Temporal or Apache Airflow., • Experience working in healthcare, financial services, or another regulated industry., • Familiarity with HIPAA, SOC 2, IAM, network security, and sensitive data handling., • Experience building self-service developer platforms and improving engineering productivity., • Familiarity with AI-assisted software development tools and practices. What Makes This Opportunity Interesting? • Take ownership of cloud infrastructure and platform capabilities rather than simply maintaining existing systems., • Influence engineering standards, automation practices, and production reliability., • Work across cloud infrastructure, software engineering, developer tooling, and data platforms., • Help strengthen the security and resilience of technology supporting healthcare products. Interested? If you have strong hands-on Terraform and AWS experience and enjoy building reliable, scalable platforms, we would like to hear from you. Apply directly or reach out to learn more about the opportunity. A reasonable, good faith The anticipated base pay compensation range for this position is $180 K to $210 K with 10% Bonus Benefits: Full time employees are eligible For Health Insurance, Paid Time Off, and 401k match & others • The pay range listed above reflects the expected starting salary /Pay rate for this role. This range may be adjusted based on market conditions, location, and other relevant factors. The Company will determine the final starting salary/Pay rate in consultation with the selected candidate(s), in full compliance with applicable laws

Project Description: The project is focused on improving the security, release reliability, maintainability, and operational resilience of business-critical banking applications. Forward Deployed Engineers will conduct targeted, hands-on engagements with development teams that are facing challenges with vulnerability remediation, automated testing, legacy technology, production stability, or achieving a safe and rapid release cadence. The role combines senior software engineering, DevOps, SRE, test automation, application security, and legacy modernization. Approximately 70% of the work involves hands-on coding and configuration. The technical scope includes building effective automated test suites, remediating security vulnerabilities, performing dependency and reachability analysis, upgrading Java and NPM runtimes, modernizing Spring and legacy middleware applications, improving CI/CD pipelines, containerizing applications, automating deployments, and introducing standard observability and resilience patterns. The Expert FDE is expected to lead complex engagements, work directly with development and client stakeholders, define the technical remediation approach, implement critical changes personally, and enable client teams to maintain the improved engineering practices. Responsibilities: • Lead targeted technical engagements addressing security, testing, release, resilience, and legacy technology challenges with development teams., • Assess application code, dependencies, runtime environment, test coverage, deployment architecture, CI/CD pipelines, observability, and operational risks., • Write, debug, review, and enhance production-quality code and configuration throughout engagements., • Define and implement practical modernization and remediation plans with clear priorities, dependencies, risks, and measurable outcomes., • Develop or improve unit, integration, component, contract, and deployment smoke tests using Test-Driven Development practices., • Select appropriate automation-testing approaches per application and drive implementation, including the use of AI coding assistance., • Source suitable test data and implement secure data masking for lower environments., • Conduct vulnerability triage, root-cause and dependency reachability analyses, remediation prioritization, secure code changes, and regression testing., • Upgrade Java, JVM, NPM, Spring, open-source libraries, internal dependencies, installed software, base images, and operating systems to supported versions., • Establish sustainable dependency-management processes with continuous library updates using Renovate or equivalent tools., • Modernize legacy applications and middleware stacks, including those deployed on WebSphere or WebLogic., • Containerize applications using Docker and support deployment to OpenShift., • Improve source control, branch management, pull-request, and code-review practices., • Design, implement, and optimize CI/CD pipelines to ensure safe, repeatable, automated, and easy releases., • Automate database changes using Liquibase or equivalent migration tools., • Automate installed software and environment changes using Ansible or equivalent configuration management tools., • Implement secure coding patterns, secrets management, authentication, authorization, and least-privilege controls., • Introduce standard observability patterns, including structured logging, application metrics, tracing, dashboards, alerting, and actionable health checks., • Enhance exception handling, operational diagnostics, rollback procedures, and production-validation controls., • Design or improve resilient deployment architectures, including hot-hot cross-datacenter deployments where required., • Lead technical workshops and effectively communicate technical decisions, risks, blockers, trade-offs, and progress to engineering, security, architecture, operations, project management, and stakeholders., • Provide technical leadership through code reviews, coaching, reusable standards, documentation, and knowledge transfer to development teams., • Take ownership from initial assessment through implementation, production deployment, stabilization, and handover. Mandatory Skills Description: The role demands extensive hands-on software engineering experience, with a focus on developing and maintaining production applications. Candidates must actively write and configure code, not merely oversee architecture or management tasks. Expertise in Java and JVM-based development is essential, while strong TypeScript skills are valued for Node.js-centric projects. Proficiency with the Spring ecosystem and modernizing Java enterprise applications is required. The candidate should demonstrate recent personal involvement in coding, debugging, and reviewing production code. Hard skills include practical experience in Test-Driven Development across multiple testing frameworks, with a solid understanding of various testing types such as unit, integration, and regression tests. The role involves creating automated test suites integrated within CI/CD pipelines, along with designing release automation and quality gates. Strong knowledge of secure coding practices, vulnerability remediation, and dependency risk management is necessary, including the ability to analyze application impacts before applying security fixes. Experience upgrading runtimes, frameworks, libraries, container platforms like Docker or OpenShift, and managing Linux environments—preferably Red Hat Enterprise Linux—is also important. Familiarity with build tools such as Maven, Gradle, or npm, advanced Git workflows, and comprehensive production-debugging techniques is expected. Candidates should understand application observability, exception handling, and production readiness, as well as fundamental distributed and critical system engineering principles. Soft skills focus on demonstrated ownership of complex technical work through all stages, from design to production handover. Strong client-facing communication is essential, including leading technical discussions, constructively challenging unsafe practices, and explaining trade-offs to diverse stakeholders. The ability to coach engineers and implement sustainable engineering standards without excessive customization is critical. Responsible and active use of AI coding tools to enhance engineering, testing, and delivery outcomes is also expected. • Hard skills:, • Java/JVM and optionally TypeScript development with Spring ecosystem expertise, • Test-Driven Development and automated testing within CI/CD frameworks, • Secure coding, vulnerability management, and dependency risk analysis, • Runtime, framework, library upgrades, and container platform management, • Linux system administration, build tools, Git workflows, and production debugging, • Application observability and distributed system engineering principles, • Soft skills:, • End-to-end ownership of technical projects, • Effective client communication and technical leadership, • Coaching and sustainable standards implementation, • Proficient use of AI-assisted development tools Nice-to-Have Skills Description: • Experience modernizing or migrating applications hosted on IBM WebSphere or Oracle WebLogic, demonstrating familiarity with these platforms., • Experience with major-version upgrades and migration from older versions of Spring or Spring Boot, indicating proficiency in framework transitions., • Experience configuring continuous dependency-update tools such as Renovate or Dependabot, showing capability in automating dependency management., • Experience with dependency reachability analysis, Software Composition Analysis, CVE assessment, and remediation of transitive dependencies, reflecting knowledge of software security and compliance., • Experience automating database changes using Liquibase or Flyway, indicating skills in database migration automation., • Experience using Ansible or equivalent configuration-management and deployment-automation tools, demonstrating proficiency in infrastructure automation., • Strong experience in TypeScript, Node.js, and the npm ecosystem, highlighting development expertise in these technologies., • Experience with Kubernetes in addition to OpenShift, showing understanding of container orchestration platforms., • Experience designing hot-hot, active-active, multi-region, or cross-datacenter deployment architectures, denoting knowledge of high-availability systems., • Experience with resilience testing, disaster recovery, controlled failover, and production-recovery exercises, highlighting skills in system reliability and continuity planning., • Experience with enterprise observability tools such as Splunk, ELK, Grafana, Prometheus, OpenTelemetry, AppDynamics, or Dynatrace, reflecting proficiency in monitoring and diagnostics., • Experience modernizing monolithic or legacy enterprise applications into maintain Languages: English: C1 Advanced

Build the future of healthcare payments AirPay is building software to make the financial experience in healthcare dramatically better for patients and providers. We partner with leading dental groups and insurance carriers to modernize how practices verify coverage, manage billing, and get paid. We are growing quickly, solving real problems for customers at scale, and backed by top-tier investors including IA Ventures, along with founders of Flatiron Health, Clover Health, Shutterstock, and others. This is an opportunity to join a fast-growing company with real traction and help shape the technical foundation of the business. The role We are hiring a Staff Software Engineer to help lead the next phase of AirPay’s technical evolution. This is a high-impact, high-autonomy role for an engineer who wants to do more than just build features. You will help define architecture, guide major technical decisions, mentor other engineers, and partner closely with leadership on the hardest and most important problems in the business. You will work across core products, platform, payments, real-time systems, internal tooling, and AI-powered experiences. Some problems are deeply technical. Others are ambiguous and cross-functional. The common thread is leverage where the work you do should make the entire engineering organization and product platform better. You should be excited about building in an environment where the pace is high, the problems are real, and the best answer is not always obvious. What you’ll work on AirPay sits at the intersection of: • Healthcare infrastructure, • Payments and financial workflows, • Real-time event processing, • Machine learning / LLM driven product experiences You may work on things like: • Designing the systems that power patient payments, billing workflows, and insurance-related operations, • Building reliable event-driven infrastructure for high-volume, low-latency workflows, • Improving the architecture, performance, and maintainability of core platform systems, • Integrating payment providers and building reconciliation, ledger, and transaction infrastructure, • Bringing ML and LLM capabilities into production in ways that create real product value, • Reducing complexity across the stack so teams can ship faster and more confidently, • Raising the quality bar through better technical design, code review, documentation, and engineering standards What you’ll do • Set technical direction for major parts of the platform and influence the broader architecture roadmap, • Lead cross-team initiatives that improve scalability, reliability, and engineering velocity, • Make strong technical decisions in ambiguous environments, with good judgment around tradeoffs, • Design and build critical systems end-to-end, from architecture through production, • Partner with product, design, data, and leadership to translate business goals into technical strategy, • Mentor senior engineers and help level up the team through hands-on collaboration, • Improve developer experience, observability, CI/CD, and operational excellence, • Evaluate new technologies and approaches pragmatically, including where AI can create durable advantage, • Write clear RFCs, design docs, and technical proposals that help teams align and move faster What we’re looking for • 10+ years of software engineering experience, with a history of increasing scope, ownership, and technical leadership, • Strong track record building and scaling complex web applications and backend systems, • Deep experience with modern backend architecture and systems design, • Strong hands-on experience with technologies such as TypeScript, Node.js, MySQL, Redis, and AWS, or comparable tools, • Expertise in relational data modeling, SQL, and performance optimization, • Experience designing event-driven, asynchronous, or real-time systems, • Good architectural instincts and the ability to simplify systems rather than over-engineer them, • Strong communication skills and the ability to influence across teams, • A builder mindset: pragmatic, curious, fast-moving, and willing to go deep when needed Especially valuable experience • Payments, fintech, or transaction-heavy systems, • Healthcare, insurance, or other regulated environments, • PCI, HIPAA, or security/compliance-sensitive systems, • ML or LLM integration in production applications, • Platform or infrastructure engineering, • Growth-stage startup experience, especially in staff or principal-level roles How we work We are a hybrid team with both NYC-based and remote employees. We work closely together, move quickly, and stay close to customers. We care about product quality, technical quality, and solving real operational problems in a thoughtful way. At AirPay, strong engineers do not just ship code. They shape systems, raise standards, and help the company make better decisions. Why this role This is a chance to: • Own meaningful technical problems with real business impact, • Help define the architecture of a fast-growing platform, • Work on a product used by major provider groups and healthcare organizations, • Operate in a role with real influence, not just execution responsibility, • Build at the frontier of healthcare, payments, and AI If you want to work on hard problems, have outsized impact, and help build an important company at an inflection point, we’d love to talk. The comp range for this role is $160,000 – $220,000, with final compensation determined based on experience, scope, and leveling.

IDR is seeking a Software Developer (Rust) to join one of our top clients for a hybrid opportunity in New York, NY. This role involves supporting a financial services firm focused on multi-strategy asset management, specifically assisting with migrating their systems from a legacy environment to a modern cloud-native platform using Rust. The position offers a dynamic environment where innovative backend development and cloud expertise are essential for success. Candidates with hands-on Rust experience (or demonstrable production-grade Rust project work) are highly encouraged to apply! Position Overview for the Software Developer (Rust): • Develop and enhance cloud-native distributed systems on AWS in a production environment., • Collaborate with cross-functional teams to design, build, and modernize platforms, including migration projects., • Contribute to creating scalable, high-performance services with a focus on reliability, security, and operational excellence., • Engage in full lifecycle software development, from planning to deployment and maintenance., • Participate in code reviews, automated testing, and infrastructure-as-code practices to ensure high-quality deliverables. Requirements for the Software Developer (Rust): • 5+ years of backend/software engineering experience, including building cloud-native distributed systems on AWS in production environments., • 2+ years of hands-on Rust experience (or demonstrable production-grade Rust project work), including async/concurrency and performance tuning., • Deep knowledge of AWS core services and cloud patterns (e.g., networking/VPC, IAM/security, compute/containerization, monitoring/logging)., • Proven ability to design and build greenfield platforms (new services, data contracts, CI/CD standards, and operational readiness) in a regulated environment. Preferred skills: • A background in C#/.NET and microservices/service-oriented architectures, with experience migrating or modernizing legacy/.NET platforms. What's in it for you? • Competitive compensation package, • Full Benefits; Medical, Vision, Dental, and more!, • Opportunity to get in with an industry leading organization. Why IDR? • 25+ Years of Proven Industry Experience in 4 major markets, • Employee Stock Ownership Program, • Dedicated Engagement Manager who is committed to you and your success., • Medical, Dental, Vision, and Life Insurance, • ClearlyRated's Best of Staffing® Client and Talent Award winner 12 years in a row. Compensation Details: up to $90/hr W2

We are: At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’ s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honoured with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 17000, and has 58 offices in 22 countries within key global markets. About the Role We are seeking a highly skilled Core Java Developer to join our team. The ideal candidate will be a strong core Java developer with extensive experience in microservices, multithreading, Spring Boot, SQL, and large-scale databases. A background in financial services is highly preferred. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within New York, NY is $120k - $135k/year & benefits (see below). Work location: New York, NY (onsite, all 5 days in a week) Key Responsibilities: • Design, develop, test, and maintain robust Java applications and microservices that meet business requirements., • Architect and implement scalable, high-performance microservices using Spring Boot and related technologies., • Handle multi-threaded programming, concurrency control, and performance tuning to ensure low-latency, reliable systems., • Collaborate with frontend, backend, and data teams to define APIs and data models; ensure secure, well-documented interfaces., • Build and optimize SQL queries; work with large, complex databases and data structures., • Implement CI/CD pipelines, code reviews, and automated testing to ensure quality and faster delivery., • Participate in architectural discussions, provide technical leadership, and mentor junior developers., • Adhere to best practices for security, reliability, and compliance within a financial services context., • Troubleshoot production issues, perform root-cause analysis, and implement durable fixes. Required Qualifications: • Strong Core Java expertise (Java 8/11/17+ with a deep understanding of JVM internals, garbage collection, and performance tuning)., • Microservices architecture experience; design and implement scalable services., • Multithreading and concurrency mastery; thread-safe programming and synchronization techniques., • Spring Framework; extensive experience with Spring Boot, Spring Data, Spring Cloud, and related ecosystems., • SQL proficiency with hands-on experience optimizing complex queries; familiarity with relational databases (e.g., Oracle, PostgreSQL, MS SQL)., • Experience working with large databases and data warehousing concepts., • Financial services domain experience is highly preferred (trading, risk, settlements, market data, regulatory reporting, etc.)., • Strong problem-solving skills, attention to detail, and the ability to work in a fast-paced environment., • Excellent communication and collaboration skills; comfortable in a multinational, matrixed environment. Desired Qualifications • Experience with containers and orchestration (Docker, Kubernetes)., • Familiarity with messaging systems (Kafka, RabbitMQ) and event-driven architectures., • Exposure to cloud platforms (AWS, GCP, Azure) and related security practices., • Knowledge of data security, encryption, and regulatory compliance in finance., • Certification or coursework related to Java, Spring, or financial technologies. Nice-to-Have • Prior consulting or client-facing experience., • Contribution to open-source projects or internal tech communities., • Advanced degree in Computer Science, Engineering, or a related field. We offer: • A highly competitive compensation and benefits package., • A multinational organization with 58 offices in 22 countries and the possibility to work abroad., • 10 days of paid annual leave (plus sick leave and national holidays)., • Maternity & paternity leave plans., • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)., • Retirement savings plans., • A higher education certification policy., • Commuter benefits (varies by region)., • Extensive training opportunities, focused on skills, substantive knowledge, and personal development., • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses., • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups., • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms., • A flat and approachable organization., • A truly diverse, fun-loving, and global work culture. SYNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Job Title: AI/ML Engineer Duration: Contract to Hire Location: Columbus, OH 43240 OR Plano, TX 75024 OR Jersey City, NJ 07310 (All days onsite) *GC/ USC only* Must Have: • AI/ML skillset - Java or python, • Building applications Job Description: • 10 plus years of software development experience (Java or Python)., • 2 plus years of hands-on experience building AI/ML applications in production., • Strong proficiency with RAG architectures — chunking strategies, embedding models, vector stores (Pinecone, OpenSearch, pgvector, FAISS)., • Experience with AI orchestration frameworks: LangChain, LlamaIndex, Semantic Kernel, or CrewAI., • Handson experience with AWS Bedrock, Anthropic Claude models, and model invocation APIs., • Proven prompt engineering skills — system prompts, fewshot, chain-of-thought, tool use, structured outputs., • Experience building conversational AI: chatbots (text) and voicebots (speechto-text, text-to-speech integration)., • Proficiency with AWS services (Lambda, Step Functions, API Gateway, S3, DynamoDB, SQS)., • Experience with CI/CD pipelines, containerization (Docker, ECS/EKS), and infrastructureas-code., • Strong understanding of API design (REST, GraphQL), microservices architecture, and eventdriven systems., • Familiarity with evaluation frameworks for LLM outputs., • Experience with guardrails, content filtering, and responsible AI practices.

In this role, you will design, develop, and deploy intelligent business applications and automated workflows across the organization. The ideal candidate combines strong full-stack engineering fundamentals with modern, AI-assisted development practices to build scalable business systems. Qualifications • At least 3 years of hands-on software development experience delivering full-stack solutions using C#, .NET, ASP.NET MVC, JavaScript, TypeScript, jQuery, or other modern JavaScript frameworks., • Strong background in relational database development, data modeling, complex query design using T-SQL, SQL Server, XML, and enterprise reporting technologies such as SSRS., • Experience using AI-assisted development tools and coding platforms, such as Codex, Claude Code, OpenCode, or comparable solutions, to improve development efficiency and code quality., • Familiarity with MCP servers, AI orchestration, workflow automation, and related integration frameworks., • Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field. Equivalent combinations of education, technical training, certifications, and relevant professional experience may be considered. |Preferred Experience • Experience developing technology solutions within professional services, consulting, or other complex enterprise environments., • Experience designing, deploying, and supporting applications in Microsoft Azure., • Hands-on experience developing API-based integrations, automation scripts, and data workflows using technologies such as PowerShell, REST APIs, cloud collaboration tools, CRM platforms, document or content management systems, enterprise resource planning systems, and human resources applications., • Knowledge of enterprise application integration, workflow automation, cloud-based business systems, and secure data exchange patterns., • Familiarity with source control, CI/CD practices, and development lifecycle tools such as Azure DevOps., • Ability to translate business requirements into maintainable technical solutions and collaborate effectively with business and technology stakeholders.

About Mojo We build systems that price outcomes, make markets, and manage risk across prediction markets and sportsbooks. Mojo is a team of highly talented people with deep backgrounds in trading, engineering, data science, and sports, including people from top market makers, big tech, sportsbooks, and professional teams. We’re profitable and well capitalized with multiple streams of revenue. The systems we run are real-time, high-volume, and directly tied to company P&L. About the Role We are looking for a hands-on Senior Site Reliability Engineer (SRE) with strong infrastructure expertise and solid programming skills. This role sits at the intersection of software engineering and infrastructure, with a focus on building and maintaining a reliable, scalable, and high-performing platform. The day-to-day would be a mix of coding, supporting and improving our platform, Kubernetes/AWS infrastructure, automation, reliability, observability, incident troubleshooting, and building tooling/services where needed. This is not a role focused solely on managing Terraform or cloud resources. We are looking for an engineer who can write code, understand infrastructure deeply, and use automation to solve operational problems effectively. The ideal candidate brings a strong combination of SRE and infrastructure expertise, with the ability to approach operational challenges through engineering. We value engineers who are driven by clarity, care deeply about correctness and performance, and are motivated by solving problems that matter to the business. What You’ll Do • Design, build, and operate reliable, scalable infrastructure across AWS and Kubernetes/EKS., • Build and maintain infrastructure automation using Terraform, Helm, GitHub Actions, and other platform tooling., • Write production-quality code, primarily in Go and/or Python, to automate operational workflows, build internal tools, and solve reliability challenges., • Troubleshoot complex production issues across applications, Kubernetes, AWS services, networking, and Linux systems., • Build and improve observability across metrics, logs, and traces using tools such as Datadog and Prometheus., • Improve deployment, provisioning, and operational workflows to make infrastructure and application delivery safer, faster, and more repeatable., • Design systems and operational processes with reliability, fault tolerance, scalability, security, and operational simplicity in mind., • Partner closely with application engineers to understand service behavior and resolve infrastructure, performance, and reliability issues., • Identify recurring operational problems and turn them into automated, scalable solutions rather than manual processes., • Contribute to technical architecture and design decisions across infrastructure, platform, and application boundaries., • Help establish and evolve engineering standards around infrastructure, reliability, observability, automation, and production operations., • Take ownership of production systems and incidents from investigation through resolution and long-term remediation., • Participate in our on-call rotation (~1 week every 13 weeks), with 24-hour coverage expectations during that period. What We’re Looking For • Strong hands-on experience with AWS and production cloud infrastructure., • Strong Kubernetes experience, particularly Amazon EKS, including deploying and managing workloads with Helm., • Strong experience with Terraform and Infrastructure as Code., • Experience building and maintaining CI/CD and deployment pipelines using GitHub Actions or similar tooling., • Programming experience in Go and/or Python, with a track record of building automation, internal tooling, or production services., • Strong production troubleshooting and debugging skills across infrastructure and applications., • Experience with observability systems covering metrics, logs, and distributed tracing; experience with Datadog, Prometheus, or similar platforms., • Solid understanding of networking, IAM, Linux systems, and common AWS services such as S3, SQS, MSK/Kafka, and related infrastructure., • Ability to understand application behavior and work effectively across infrastructure, platform, and application teams., • Experience designing systems for reliability, scalability, fault tolerance, and operational simplicity., • Strong ownership mindset and the ability to operate independently in a fast-moving production environment., • Experience identifying operational pain points and improving them through automation and engineering rather than relying on manual processes., • Bachelor’s or Master’s degree in Computer Science or a related field—or equivalent practical experience., • Understanding of financial markets, including exchange connectivity, order lifecycle, and market data., • Experience with FIX (Financial Information eXchange) protocol., • Okta administration is a strong plus. Benefits We’re excited to offer the following benefits to our employees: • Competitive total compensation package including base salary, profit share and equity, • Generous benefit package, including: medical, vision and dental insurance, OneMedical membership, • Company-funded Health Savings Account with enrollment in high-deductible healthcare plan, • 401(k) retirement plan available to contribute on Day 1, • Company-paid life insurance, • Generous parental leave, • Unlimited PTO Salary Range: $180,000 - $200,000 + Profit share program + Equity Working Hours: • For this role, the hours will probably vary significantly, including evenings and weekends, aligned with, or before/during/after sporting events, • These timeframes are based on Eastern/New York., • The role can be based in the NY metro area or fully remote elsewhere in the US. At Mojo, we are committed to fostering a diverse, inclusive, and equitable workplace. We are proud to be an equal opportunity employer and welcome applications from qualified individuals of all backgrounds. We do not discriminate on the basis of race, color, religion, sex, pregnancy, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.

A leading global multi-strategy hedge fund is seeking a C++ Quantitative Developer to join a newly formed systematic equities investment team based in New York. This is a front-office role focused on the design, development and optimisation of high-performance trading infrastructure, supporting real-time signal generation and the implementation of systematic equity strategies. This position offers direct exposure to the Portfolio Manager and quantitative researchers, alongside the opportunity to shape the team's technology stack from day one. The successful candidate will play a key role in translating research into production-ready systems, building core signal infrastructure and improving performance within a fast-paced environment where technical rigour and close collaboration are highly valued. Key Responsibilities • Design and build a core C++ signal engine supporting real-time feature computation, alpha signal generation, position tracking and risk monitoring., • Develop efficient data integration between production C++ systems and Python-based research workflows., • Implement and optimise the publication of real-time alpha signals into shared execution infrastructure., • Integrate trading systems with central market data feeds and execution platforms., • Develop real-time risk checks, position monitoring, logging and alerting infrastructure., • Optimise system latency and throughput through performance profiling, memory management, concurrent programming and network tuning., • Work closely with quantitative researchers to translate Python prototypes into robust, production-grade C++ code., • Build and maintain backtesting and exchange simulation infrastructure to support strategy validation., • Apply AI-assisted development tools to improve development efficiency while maintaining code quality., • Contribute to the architecture, reliability and ongoing enhancement of the team's trading technology. Requirements • At least 3 years of hands-on experience developing high-performance C++ server-side applications within a Linux environment., • Strong understanding of real-time and event-driven architectures with demanding latency requirements., • Proficiency in Python and working knowledge of Polars, Pandas, NumPy and the wider Python data ecosystem., • Strong familiarity with Apache Arrow and columnar data formats for efficient cross-language interoperability., • Strong understanding of network programming, Linux internals and systems optimisation., • Experience consuming real-time market data feeds and integrating with execution platforms., • Solid knowledge of data structures, algorithms and concurrent or multithreaded programming., • Proficiency with Git, CI/CD, unit testing and software engineering best practices., • Experience with AI-assisted coding tools and willingness to incorporate them into daily development workflows., • Experience building trading systems within systematic equities or quantitative trading is advantageous., • Experience in Finance minimum 1 year., • Familiarity with equity market microstructure, low-latency optimisation, Rust, kdb+/q, analytical databases or cloud infrastructure is beneficial., • Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering or a related quantitative discipline. To discuss this role in further detail please get in touch and send your resume to: graham@pointonetalent.com www.pointonetalent.com

Job Description The IB Tech & CRM/Analytics team is a highly strategic and cross-functional team responsible for leading the firm’s global digitalization effort. This initiative, spanning all client-facing business units and corporate functions, will drive innovation and strategic change through technology, data science, and deep analytics. The team partners with key business leaders and industry experts to build transformational technology to drive revenue, maximize efficiency, and optimize the allocation of resources. The IB Tech & CRM/Analytics team is at the forefront of Jefferies’ cloud initiative, leveraging best-in-class cloud-based technologies to replace legacy on-premises solutions to provide intelligent trend insights, actionable opportunities, decision support, and transparency into all client and business-related activities. Job Highlights: • Exciting and unique opportunity to be a member of our corporate IB Tech & CRM/Analytics Team, tackling our toughest and most exciting data engineering challenges across multiple divisions in Jefferies., • Modern, fully cloud-native, tech stack that leverages several AWS products to orchestrate an event driven data distribution platform., • Collaborate with our team of passionate and innovative data specialists, application developers and product managers. Key Responsibilities: We are looking for a Senior Java engineer who will: • Contribute to the end-to-end SDLC process on high-impact Madison projects, from conception for new –maintenance for existing, design, implementation, testing, release, and support., • Facilitate alignment across IB Tech & CRM/Analytics teams on goals, outcomes, priorities, deadlines, and deliverables., • Influence, mentor, and collaborate with a distributed set of engineers, within multiple time zones, to set clear standards and best practices, • Write readable, testable, and maintainable code, • Drive innovation of new technologies Experience Needed: • 8+ years of experience with Java development, • Excellent written and verbal communication skills with the ability to present complex technical solutions in a clear and concise manner, • Hands on experience designing, developing, and delivering Java-based APIs (GraphQL/OpenAPI/gRPC) and Microservices using Spring Boot and AWS products (ECR/EKS/EC2/Beanstalk), • Experience with Streaming Technologies like Kafka, including designing and developing complex, scalable, and high-performance applications. Proven track record of delivering robust and efficient solutions in a fast-paced environment., • Experience in working with SQL building Stored Procedures, Functions and Data Warehousing solutions., • Strong problem-solving skills and design skills with focus on distributed, highly available, and fault tolerant systems, • Experience in developing TDD/BDD unit-tests and work with Quality Assurance team members on defect triage and resolution., • Proactively participates in Agile Ceremonies like Sprint Planning, Backlog Grooming etc., and experience in working with virtual teams., • Provides Leadership skills in mentoring team members, resolving technical challenges and performing code reviews in a peer programming environment., • Experience building systems from scratch, demonstrating a deep understanding of software architecture and design principles., • In-depth knowledge of Kafka and its ecosystem, with prior experience in event-driven architecture. Ability to design and develop robust data pipelines and streaming applications., • Experience with AWS EKS (Elastic Kubernetes Service), including deploying and managing containerized applications. Strong understanding of CI/CD pipelines and containerization technologies such as Docker and Kubernetes., • Strong multi-tasking skills and able to learn new technologies quickly Good to Have: • Exposure to Front-End web development (Angular/React/JavaScript/Typescript), • Exposure to Financial Services & Investment Banking business domain., • Exposure to Salesforce or similar CRM Eco-System., • Exposure to Business Intelligence tools (Tableau CRM, Cognos, PowerBI, etc.)., • Exposure to ETL & Data Engineering tools like Mulesoft, StreamSets & Databricks. Primary Location Full Time Salary Range of $150,000 - $220,000.

At Guac, we're solving grocery food waste with AI. We forecast exactly how much of each product will sell, helping grocery retailers order and produce the perfect amount of inventory — and we're building AI-native tools that put those forecasts directly into the hands of store operators and buyers. The grocery industry is enormous (it accounts for 4% of GDP) — and grocery food waste is a huge cost to grocers' bottom lines, but also to our planet. Today, we're working with major supermarket chains in the US and Canada, and we've scaled to 7-figures in ARR. We're backed by leading investors including Y Combinator, 1984 Ventures, Collaborative Fund, and angels from Open AI, Instacart, and Citadel Securities. We've brought together an exceptional team from Palantir, BCG, Oxford, Cambridge, and MIT to solve intellectually challenging problems and tackle food insecurity and waste with technology. We're looking for a QA Engineer to own quality and testing across our web and mobile products on an initial 3–4 month contract, with potential to extend. About the Role As our first dedicated QA hire, you'll shape how quality works at Guac. Your responsibilities will include: • Review requirements and designs for new features, write thorough test plans, and execute them before launch, • Own the regression testing process ahead of each release across our React/Next.js web app and React Native mobile app, • Write clear, reproducible bug reports and drive defects through to resolution, • Lead the buildout of our automated end-to-end test suite, progressively replacing manual regression with reliable automation, • Write and maintain API-level tests to validate backend integrations, • Use AI tools to accelerate test authoring, surface edge cases, and improve coverage About You • 3+ years of QA experience on web and/or mobile applications, • Strong ability to write thorough test plans and reproducible bug reports from requirements or designs, • Experience with test automation frameworks (Playwright, Cypress, Detox, Maestro, or similar) — you've built suites from scratch before, • Experience with API testing (Postman, REST Assured, or similar), • Comfortable working async with minimal supervision, • Available during core ET business hours when needed e.g. during release cycles (10am–6pm ET), • (Bonus) Experience with our stack: Playwright, Jest, Maestro, React/Next.js, React Native, • (Bonus) Experience testing logistics, supply chain, grocery, or fulfillment software, • (Bonus) Familiarity with CI/CD pipelines (GitHub Actions, CircleCI) and SQL for data validation, • (Bonus) Daily use of AI coding tools (Claude, Cursor, Copilot) to ship faster Engagement • Independent contractor, ~20 hours/week, • Initial 3–4 month contract with strong potential to extend in duration or expand in hours, • Remote, flexible, with at least partial availability during core ET hours, • Open to candidates outside the US Our Tech Stack • Web: React, Next.js, Playwright, Jest, • Mobile: React Native, Maestro, • API: Postman, Bruno

This role is open for USC/GC candidates only Open for W2 or Self Incorporated candidates both Location 1: New York, NY 10169 (4 days WFO) Location 2: Boston, MA 02109 (4 days WFO) We are seeking an experienced engineer to lead the delivery and ongoing improvement of enterprise web applications. This position combines hands-on development with technical guidance across Python services, React interfaces, relational databases, and AWS. You will work closely with business partners and engineering teams to turn requirements into reliable application functionality, supporting the delivery process from initial assessment through production operation. Experience and Technical Background • At least 7 years of professional software development experience., • A bachelor's degree in Computer Science, Engineering, or a related discipline., • Strong practical experience developing backend functionality in Python, using FastAPI, Flask, or Django., • Hands-on experience building web interfaces with React.js., • Strong SQL skills and experience with relational database platforms such as SQL Server, PostgreSQL, or MySQL., • Experience using AWS, including EC2, Lambda, S3, RDS, and API Gateway, to support application requirements., • Familiarity with designing and integrating REST APIs, managing code through Git, and working with CI/CD pipelines., • Experience delivering software within Agile teams and following established development and release practices., • Strong analytical thinking, troubleshooting ability, and clear communication with technical and business stakeholders. Additional Experience That Would Be Valuable • Exposure to Docker, Kubernetes, and Terraform., • Experience developing applications using cloud-native approaches and microservices architectures., • An AWS certification not a must, but can be useful

Director of AI Engineering Location: New York, NY; Hybrid (Candidates MUST be local - No relocation) Compensation: $200-250K + bonus US Citizens/GC Holders Only; No Visa Sponsorship Responsibilities • Drive architecture, safety boundaries, and technical direction for production-grade agentic AI systems and enterprise-wide capabilities, • Own agent frameworks, orchestration (LangGraph, CrewAI), RAG pipelines, model gateways, and evaluation/observability tooling for autonomous systems, • Evaluate emerging AI techniques, lead complex cross-cutting initiatives, and balance tradeoffs among safety, reliability, scale, and cost, • Lead, recruit, and mentor senior engineers; handle HR processes (performance reviews, talent development); and foster a culture of technical excellence Technology • Stack: Python, Go, TypeScript | REST, gRPC | AWS/GCP, Kubernetes, Kafka, Airflow, • Agentic AI & ML: LangChain, LlamaIndex, Semantic Kernel, CrewAI, PyTorch, Hugging Face (fine-tuning, embeddings, inference), Pydantic, Zod Qualifications Required • 10+ years engineering large-scale distributed backend systems, with deep experience in LLMs, agentic workflows, and ML infrastructure, • Track record leading/growing teams, mentoring senior talent, managing full SDLCs, and influencing across cross-functional boundaries, • Advanced knowledge of planning, tool use, memory, streaming/async architectures, and AI-assisted development tools, • Ability to drive clarity in ambiguous spaces and ship production-grade autonomous systems. Preferred • Experience in fintech or regulated industries; background as an early technical leader/founding engineer in AI, • Track record of building widely used autonomous systems or contributing to open-source AI frameworks, • Hands-on experience with model fine-tuning, inference optimization, and modern application stacks (React, Mobile, CI/CD)

Lead Front End Software Engineer Location: New York, NY Salary: $240,000-$285,000 (base) + Equity Work Model: Hybrid, 3 days per week onsite About the Role We are seeking a Lead Front End Software Engineer to drive the development of intuitive, high-performance user experiences while helping shape the technical direction of our product. This is a hands-on leadership opportunity for an experienced engineer who combines deep frontend expertise with strong architectural judgment, a passion for product quality, and the ability to elevate the engineers around them. You will play a key role in defining how our applications are designed, developed, tested, and maintained as the business grows. Working closely with engineering, product, and design, you will translate complex requirements into polished, scalable interfaces while contributing to broader technical decisions across the platform. What You'll Do • Lead frontend architecture and implementation, establishing scalable patterns and engineering standards that support long-term product development., • Drive the evolution of our user interface, ensuring applications are responsive, accessible, reliable, and intuitive across devices and platforms., • Partner with product managers and designers to turn business objectives and user needs into thoughtful technical solutions., • Develop and maintain reusable components, shared UI libraries, and design system foundations that improve consistency and accelerate development., • Improve frontend quality through effective testing strategies, performance monitoring, error tracking, and continuous optimization., • Take ownership of complex technical initiatives from initial design through deployment, identifying risks and making sound architectural decisions along the way., • Collaborate across the stack when necessary, contributing to APIs, backend services, integrations, and infrastructure-related challenges., • Promote secure, reliable, and maintainable software practices throughout the development lifecycle., • Mentor engineers, provide constructive technical feedback, and help establish a culture of collaboration, accountability, and continuous improvement., • Evaluate emerging technologies and AI-assisted development tools to identify opportunities to improve engineering efficiency and software quality. What We're Looking For • 7+ years of professional software engineering experience, including substantial experience delivering production-grade frontend applications., • Advanced proficiency with React and TypeScript, with a strong understanding of modern frontend architecture and application design., • Experience leading the technical delivery of significant frontend projects, including making architectural decisions and coordinating implementation across contributors., • Strong understanding of UI/UX principles, component-driven development, responsive design, accessibility, and frontend performance optimization., • Experience building or maintaining reusable component libraries, design systems, or shared frontend infrastructure., • Familiarity with automated testing, CI/CD workflows, production monitoring, and debugging complex application issues., • Ability to work beyond the frontend when needed, with an understanding of APIs, backend architecture, integrations, and distributed application environments., • Excellent communication skills and the ability to explain technical trade-offs clearly to both engineering peers and cross-functional stakeholders., • A proactive approach to ownership, with the judgment to balance immediate product needs against long-term technical maintainability., • A collaborative leadership style, with an interest in mentoring engineers, raising technical standards, and helping a growing team succeed., • Curiosity about new frameworks, development methodologies, and AI-powered coding tools, with the ability to assess their practical value rather than follow trends. Nice to Have • Experience working with Python or other backend languages., • Exposure to mobile application development or shared web and mobile frontend architectures., • Experience scaling frontend systems within a growing startup or fast-moving product organization., • Familiarity with cloud infrastructure, observability platforms, and production operations., • Experience introducing AI-assisted engineering workflows into an existing software development process.

AI Architect, AI & Automation-Insurance About the Role The applicant should have deep, hands-on experience architecting, designing, and implementing enterprise-grade AI, Machine Learning, and Generative AI solutions, and experience leading technical teams delivering complex AI and automation engagements across industries. Applicants should have some of the following experience: • Experience architecting and implementing AI/ML solutions across multiple domains, including:, • Generative AI and Large Language Model (LLM) based solutions, • Predictive and prescriptive Machine Learning models, • Computer Vision, • Natural Language Processing (NLP) and Conversational AI, • Intelligent Document Processing (IDP / iOCR), • Agentic AI systems and multi-agent orchestration., • Worked across the end-to-end AI solution lifecycle: use case discovery, data assessment, solution architecture, model development, deployment, and monitoring., • Experience translating business problems into AI solution architecture using design thinking and structured problem-solving techniques., • Hands-on experience designing AI/ML platform architectures on cloud-native and hybrid environments (AWS, Azure, GCP)., • Hands-on experience with LLM frameworks and patterns (LangChain, LlamaIndex, Semantic Kernel), vector databases, and Retrieval-Augmented Generation (RAG) architectures., • Experience with MLOps/LLMOps practices, including model lifecycle management, CI/CD for ML, monitoring, and retraining pipelines., • Strong hands-on proficiency in Python and ML/AI frameworks such as TensorFlow, PyTorch., • Experience with cloud AI/ML services such as Azure OpenAI, AWS Bedrock/SageMaker, and Google Cloud Vertex AI., • Experience in data architecture and engineering to support AI initiatives, including data pipelines, feature stores, and data governance., • Experience integrating AI solutions into enterprise systems and applications via APIs, microservices, and event-driven architectures., • Experience with AI governance, responsible AI practices, model risk management, and data privacy/security considerations., • Experience integrating AI/GenAI capabilities with automation platforms (e.g., UiPath, Power Automate) to enable intelligent automation., • Travel to client sites and for practice work efforts is required on an as needed basis. Additional Consulting Responsibilities • Client Relationship and Development: Leads team interactions with clients, including clients at senior levels. Anticipates and proactively addresses client’s needs. Earns client’s respect and appreciation., • Client Delivery: Leads client delivery teams. Manages projects and drives projects to completion., • Value and Expertise: Establishes focus area and concentrates deployment and delivery in that area. Establishes track record in focus area. Begins to contribute thought leadership and IP in focus area., • People Development and Learning: Mentors and develops consultants on delivery teams. Ensures team members have skills needed to execute and deepen their expertise while on the project. Has counselees and meets them regularly. Helps them understand strengths and weaknesses, set realistic targets, and establish development plans that balance firm needs and personal aspirations., • Consulting Behaviours: Develops focus area or specialization. Builds personal brand. Leads and mentors others. Cares about development of junior consultants and invests in their progression. Grows Infosys network outside of Consulting. Leverages relationships with other Infosys units to enhance client solutions and identify new opportunities for Consulting work. Reads situations and adjusts personal approach accordingly. Adopts behavior and language appropriate to the situation, to stay effective in different environments. Stays abreast of market developments in practice or discipline. Identifies threats and opportunities and positions to meet them; proactively learns new skills and abilities to stay relevant., • Leadership and Firm Development: Leads delivery teams effectively, providing direction, guidance, motivation, course correction, and air cover as appropriate. Supports development of innovative thinking. Understands the Infosys Consulting business drivers and KPIs needed to build an effective and successful business. Represents Infosys through appropriate application of Infosys' sales and marketing materials/publications (service offerings, blog posts, etc.). Plays a key role in practice or firm-building activities. Takes bottom-line responsibility for firm building deliverables or activities., • Sales: Supports Associate Partners and Partners in pursuit and proposal work. Identifies opportunities from client work and relationships; raises them to appropriate Associate Partner or Partner for action. Basic Qualifications • Bachelor’s degree in computer science, Engineering, Data Science, or a related field, or foreign equivalent required., • Cloud AI/ML certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer, Google Cloud Professional ML Engineer), • Minimum of 10 years of relevant work experience with 2 years of experience in comparable consulting services., • Strategic mindset and the ability to lead and develop other team members., • Multitask, engage with stakeholders, plan effectively, and consistently achieve operational goals., • Excellent relationship-building abilities., • Ability to collaborate with resources in global delivery model., • Experience in leading programs using Agile and/or hybrid methodologies., • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time. Preferred Qualifications • MBA or equivalent advanced degree, Industry-related certification preferred., • Creative problem solver, • Strategic mindset and the ability to collaborate with other team members For candidates based out of CA, WA, NY, IL, MN,NJ states, estimated annual gross compensation range is $154,375 to $193,125 Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:- • Medical/Dental/Vision/Life Insurance, • Long-term/Short-term Disability, • Health and Dependent Care Reimbursement Accounts, • Insurance (Accident, Critical Illness, Hospital Indemnity, Legal), • 401(k) plan and contributions dependent on salary level, • Paid holidays plus Paid Time Off EEO/About Us : About Us Infosys Consulting is a next-generation consulting partner that bridges strategy and execution. With an AI-first mindset, deep industry knowledge, and the combined strengths of business and technology consulting, it helps enterprises turn bold vision into tangible outcomes, faster, smarter, and at scale. Infosys Consulting is helping some of the world’s most recognizable brands transform and innovate. Our consultants are industry experts that lead complex change agendas driven by disruptive technology. With offices in 20 countries and backed by the power of the global Infosys brand, our teams help the C-suite navigate today’s digital landscape to win market share and create shareholder value for lasting competitive advantage. EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

The Impact you will have in this role: Being a member of IT Cybersecurity & Platform Strategy team, you will build and operate the next generation of AI-powered vulnerability discovery capabilities used to identify security weaknesses across thousands of applications and repositories. This role sits at the intersection of Application Security, AI Engineering and Platform Engineering. You will design, develop and scale AI scanning harnesses, agent frameworks and model integrations that enable large-scale security analysis using AI models. Your work will directly influence how DTCC leverages AI to discover exploitable vulnerabilities, validate findings, reduce false positives and accelerate security outcomes across the enterprise. Your Primary Responsibilities: • Design, build and operate AI-powered vulnerability scanning harnesses and supporting platform capabilities., • Develop integrations with large language models and AI platforms., • Create and maintain prompt frameworks, agent workflows and security-focused AI orchestration logic., • Build scalable scanning infrastructure supporting large-scale repository and application analysis., • Optimise harness performance, throughput, cost efficiency and model utilisation., • Develop validation, verification and false-positive reduction mechanisms., • Integrate AI scanning capabilities into software development and security workflows., • Evaluate new AI models, scanning techniques and agentic security approaches., • Develop supporting tooling for scan execution, scheduling, orchestration and reporting., • Enhance contextual analysis by incorporating security controls, architecture data and remediation intelligence., • Work closely with AppSec, Vulnerability Operations and software engineering teams to drive adoption., • Contribute to secure platform design, isolation controls, monitoring and operational resilience., • Support research and innovation in agentic AI, automated vulnerability discovery and AI-assisted security testing. NOTE: The Primary Responsibilities of this role are not limited to the details above. Qualifications: • Minimum of 8 years of related experience, • Bachelor's degree preferred and/or equivalent experience Talents Needed for Success: • 6+ years of software engineering experience with strong emphasis on Python and distributed systems development, • Deep expertise building scalable software platforms, test harnesses, frameworks, or orchestration platforms, • Strong experience integrating Large Language Models through APIs and SDKs, • Experience building evaluation frameworks, benchmarking systems, automated testing platforms, or AI experimentation environments, • Experience designing and maintaining multi-model orchestration workflows across Claude, OpenAI, Bedrock, or equivalent platforms, • Strong experience developing microservices and APIs using Python and/or Java, • Experience building data processing pipelines, queue-based architectures, and event-driven systems, • Experience with Docker, Kubernetes, OpenShift, and cloud-native deployments, • Experience operating applications within AWS environments, • Experience building automated testing frameworks, regression suites, and validation pipelines, • Experience handling structured outputs, prompt engineering, model evaluation, and result normalization, • Experience designing scalable ingestion, correlation, and analysis pipelines, • Strong understanding of software engineering best practices, testing, observability, and operational excellence, • Experience with Git, Bitbucket, Jenkins, Jira, and modern CI/CD tooling Preferred Qualifications • Experience developing AI scanning harnesses, agent frameworks, or autonomous workflow systems, • Experience working with security scanning technologies and vulnerability discovery platforms, • Familiarity with application security concepts and vulnerability management processes, • Experience designing AI model evaluation and accuracy measurement frameworks

Project Description: • The project is focused on improving the security, release reliability, maintainability, and operational resilience of business-critical banking applications., • Forward Deployed Engineers will conduct targeted, hands-on engagements with development teams that are facing challenges with vulnerability remediation, automated testing, legacy technology, production stability, or achieving a safe and rapid release cadence., • The role combines senior software engineering, DevOps, SRE, test automation, application security, and legacy modernization. Approximately 70% of the work involves hands-on coding and configuration., • The technical scope includes building effective automated test suites, remediating security vulnerabilities, performing dependency and reachability analysis, upgrading Java and NPM runtimes, modernizing Spring and legacy middleware applications, improving CI/CD pipelines, containerizing applications, automating deployments, and introducing standard observability and resilience patterns., • The Expert FDE is expected to lead complex engagements, work directly with development and client stakeholders, define the technical remediation approach, implement critical changes personally, and enable client teams to maintain the improved engineering practices. Responsibilities: • Collaborate directly with development teams to identify and resolve issues related to testing, security, release, deployment, resilience, and legacy technologies., • Review application code, dependencies, test coverage, runtime configurations, deployment processes, logs, monitoring systems, and CI/CD pipelines., • Write, debug, test, review, and enhance production application code and configurations., • Develop and maintain automated unit, integration, component, regression, and deployment smoke tests., • Apply Test-Driven Development practices and select appropriate testing approaches with guidance as needed., • Source test data and apply masking techniques to protect sensitive information in lower environments., • Investigate vulnerabilities and dependency risks, identify root causes, implement secure remediation, and conduct regression testing., • Upgrade Java/JVM or NPM runtimes, Spring components, libraries, dependencies, base images, operating systems, and installed software., • Assist in implementing automated and continuous dependency updates using Renovate or comparable tools., • Support modernization efforts for legacy applications and middleware stacks, including WebSphere or WebLogic when applicable., • Containerize applications using Docker and deploy or support them on OpenShift platforms., • Enhance Git workflows, branch management, pull requests, and code-review processes., • Implement and improve CI/CD pipelines, automated quality gates, deployment validation, and rollback procedures., • Automate database changes using Liquibase or similar migration tools., • Support application and environment automation through Ansible or equivalent tools., • Apply secure coding patterns and adhere to standards for secrets management, authentication, authorization, and handling sensitive data., • Improve structured logging, exception handling, health checks, metrics, tracing, dashboards, and operational alerts., • Support highly available and resilient deployment strategies., • Troubleshoot production and non-production issues using code analysis, SQL, logs, metrics, traces, and diagnostic tools., • Communicate progress, risks, technical decisions, blockers, and dependencies to engineering, security, architecture, operations, project management, and client stakeholders., • Document implemented solutions and facilitate knowledge transfer to development and support teams., • Own a defined technical workstream from assessment and implementation through testing, deployment, and stabilization. Mandatory Skills Description: The role requires strong professional software engineering expertise, typically spanning 4–7 years, including recent hands-on development of production applications. The candidate must actively write and debug code, with recent experience directly involving production code or configuration changes made within the last 12–18 months. Hard skills include: • Advanced Java and JVM development, with strong TypeScript skills valued for Node.js environments., • Practical experience with Spring or similar enterprise frameworks., • Proficiency in Test-Driven Development, automated testing, and familiarity with multiple test frameworks and automation approaches., • Capability to develop unit and integration tests and support deployment smoke testing., • Experience with CI/CD pipelines, automated builds, quality gates, and application deployments., • Knowledge of secure coding practices and experience addressing application vulnerabilities., • Experience upgrading runtimes, frameworks, libraries, dependencies, and operating systems., • Familiarity with Docker and containerized application delivery., • Working knowledge of OpenShift, Kubernetes, or comparable container platforms., • Competence in Linux command-line tools and production troubleshooting., • Experience with build tools such as Maven, Gradle, or npm., • Strong Git and source control practices, including branching, pull requests, and code reviews., • Skills in troubleshooting applications using SQL, logs, metrics, traces, stack traces, and monitoring tools., • Understanding of observability concepts, structured logging, exception handling, health checks, and production support., • Knowledge of transactions, retries, idempotency, rollback, resilience, and distributed system failure patterns. Soft skills include: • Ability to independently manage a defined technical workstream from analysis through production deployment., • Effective communication with stakeholders and collaboration with development, security, operations, architecture, and project management teams., • Willingness and ability to rapidly learn new applications, tools, and technology stacks., • Responsible use of AI coding tools to enhance software engineering and testing productivity. Nice-to-Have Skills Description: • Experience with OpenShift or enterprise Kubernetes environments, demonstrating familiarity with container orchestration platforms., • Experience modernizing applications deployed on WebSphere, WebLogic, or other legacy application servers, indicating skills in updating and migrating legacy systems., • Experience upgrading Java, Spring, Spring Boot, Node.js, NPM, or other application runtime stacks, reflecting knowledge of maintaining and advancing software frameworks., • Experience with Renovate, Dependabot, or similar automated dependency-update tools, showing capability in managing software dependencies efficiently., • Experience with Software Composition Analysis, CVE evaluation, reachability analysis, or transitive-dependency remediation, indicating awareness of software security and vulnerability management., • Experience with Liquibase, Flyway, or similar database migration tools, demonstrating proficiency in managing database schema changes., • Experience with Ansible or other infrastructure and software automation tools, reflecting skills in automating IT operations., • Experience in TypeScript, Node.js, and npm development, indicating programming expertise in these technologies., • Experience with monitoring and observability tools such as Splunk, ELK, Grafana, Prometheus, OpenTelemetry, AppDynamics, or Dynatrace, showing ability to implement and utilize system monitoring solutions., • Experience with test-data generation, test-data management, or masking of sensitive data, demonstrating knowledge of data privacy and testing practices., • Experience with high-availability, hot-hot, active-active, multi-region, or cross-datacenter architectures, indicating familiarity

Join us in building the systems that turn complex data into better business decisions across the food supply chain, while helping tackle climate change. About Us: Nibbana connects what happens on farms with the decisions made across global food and agriculture supply chains. We bring together farm-level information, complex supply-chain datasets, and data from large multinational companies to create value for farmers, cooperatives, and food businesses. Our approach combines software, data infrastructure, and AI/ML with deep agricultural expertise and hands-on implementation. We turn complex data into actionable insights for farmers and food companies, help producers implement practical changes, and connect verified outcomes to transparent reporting and financial incentives. We’re an early-stage, well-funded climate-tech startup working with industry leaders. We’re building our core platform from the ground up and looking for engineers who want meaningful ownership over product quality and the systems our customers rely on. The Role: We’re looking for a QA Engineer who tests data as rigorously as features - and keeps digging until they can explain exactly what went wrong. You’ll combine exploratory testing with automation across our applications, APIs, and data pipelines. You’ll develop a deep understanding of how the system works, how data moves through it, and how business rules shape the results our customers see. What You’ll Do: • Own testing across product features, integrations, and data workflows., • Investigate issues beyond the symptoms, tracing behavior and data to understand the underlying cause., • Explain findings precisely, with reproducible steps, supporting evidence, and clear expected outcomes., • Build automated tests and data checks that catch regressions and strengthen release confidence., • Work with engineers and domain experts to clarify requirements, challenge assumptions, and verify fixes. What We’re Looking For: • +5 year of hands-on QA experience with production applications and data-intensive systems., • Strong analytical skills, attention to detail, and the persistence to investigate complex problems thoroughly., • Strong SQL skills and confidence working directly with raw data., • Experience testing APIs and building automation with TypeScript, JavaScript, or Python., • Clear communication: you can explain what failed, under which conditions, and how you reached your conclusion., • Ownership, curiosity, and a drive to understand the system in depth. Nice to Have: • Experience with data pipelines, enterprise integrations, or mobile testing., • Familiarity with CI/CD, event-driven systems, or AI/ML validation., • Experience establishing QA practices in a startup. Why Join Nibbana? • Shape product quality and testing practices from the ground up., • Work on complex systems where data accuracy has real business and environmental impact., • Join a small team with meaningful ownership, direct collaboration, and a modern, AI-native engineering culture. We’re looking for someone who finds the issue, follows the evidence, and makes the problem clear enough for the team to solve. Interested? Get in touch. Learn more: https://nibbana.com/

Seeking a highly skilled Programmer with strong expertise in backend and frontend technologies, microservices architecture, and modern DevOps practices. The ideal candidate will have hands-on experience with Python frameworks, UI frameworks, and Agile delivery methodologies. The developer will be responsible for implementing application coding tasks based on sprint stories to enhance and develop new functionalities. The role involves working under the guidance of a Senior Developer while demonstrating the ability to work both independently and collaboratively within a team. Additionally, the developer will be responsible for production support activities, including monitoring, troubleshooting, and resolving application issues to ensure application stability and intended functionality without any issues. The role also requires identifying root causes and implementing fixes. Rate Range: $65/hour to $67/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Description Summary • Develop, maintain, and enhance applications using Python, Django, and Flask., • Build and maintain microservices architectures to support scalable systems., • Develop responsive user interfaces using Angular and React., • Manage artifacts using Artifactory and implement CI/CD practices., • Collaborate with cross-functional teams in an Agile/Scrum environment., • Work with Jira for sprint planning, tracking, and reporting., • Participate in code reviews, troubleshooting, debugging, and performance optimization., • Contribute to DevOps automation and continuous improvement initiatives., • Work with Bitbucket for source code management (desired). Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit _. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance

We are hiring on behalf of our client for an experienced Senior Application Developer to support a building maintenance system modernization project. The project focuses on developing and modernizing enterprise applications, integrating geospatial capabilities, and delivering reliable, scalable technology solutions to support agency operations. The Role: We are looking for a Senior Application Developer – .NET / GIS with 10+ years of hands-on full-stack .NET development experience and strong expertise in application development, database management, cloud technologies, and geospatial data integration. The ideal candidate will have extensive experience with C#, ASP.NET, .NET Core, .NET 9, MVC, Entity Framework, SQL Server, and Microsoft Azure, along with practical knowledge of GIS technologies and web-based mapping solutions. You will be responsible for designing, developing, and maintaining enterprise applications, optimizing database performance, integrating geospatial data, and collaborating with technical teams and agency stakeholders to deliver project requirements. Position Details: • Work Arrangement: Onsite Monday–Friday for the first 3 months; hybrid thereafter, • Schedule: Weekdays, 9:00 AM–5:00 PM (up to 35 hours per week), • Contract Duration: Up to 18 months, • Interview: In-person What You Will Do: • Full-Stack Application Development: Design, develop, enhance, and maintain enterprise applications using C#, ASP.NET, .NET Core, .NET 9, MVC, and Entity Framework., • Database Development & Optimization: Build and maintain SQL Server databases, develop efficient queries, and optimize database performance to support application requirements., • API Development: Design, develop, and maintain REST APIs to support application functionality and integrations., • Azure Application Support: Develop, deploy, and support Azure-hosted applications while ensuring reliability, scalability, and maintainability., • GIS & Geospatial Integration: Integrate geospatial data and implement web-based mapping, geographic information systems, and visualization capabilities., • Frontend Development: Build and maintain user-facing application components using HTML5, CSS, and JavaScript libraries or frameworks such as React or Angular., • Application Architecture: Contribute to technical design decisions, application architecture, and development best practices., • Code Quality & Troubleshooting: Participate in code reviews, identify and resolve technical issues, and ensure application quality and performance., • DevOps & Release Management: Work with Git/GitHub, DevOps practices, CI/CD pipelines, and release management processes., • Technical Documentation & Collaboration: Prepare technical documentation, support knowledge transfer, and collaborate with developers, agency stakeholders, and project leadership. What We Are Looking For: • Senior-Level .NET Experience: 10+ years of hands-on full-stack application development experience using the .NET technology stack., • Strong C# & .NET Expertise: Extensive experience with C#, ASP.NET, .NET Core, .NET 9, MVC, and Entity Framework., • Database Expertise: Strong experience with Microsoft SQL Server, database design, query development, and performance optimization., • Cloud Experience: Hands-on experience developing or supporting applications hosted on Microsoft Azure., • Frontend Technologies: Proficiency in HTML5, CSS, JavaScript, and modern frontend frameworks or libraries such as React or Angular., • REST API Development: Experience designing, developing, integrating, and maintaining RESTful APIs., • GIS & Geospatial Data: Experience working with geospatial data using SQL Server, Oracle/Oracle Spatial, and PostgreSQL/PostGIS., • Web Mapping & Visualization: Experience integrating GIS technologies with web applications for mapping and geospatial visualization., • Application Architecture: Knowledge of enterprise application design, architecture principles, and software development best practices., • DevOps & Version Control: Familiarity with Git/GitHub, CI/CD pipelines, DevOps practices, and software release management., • Education: Bachelor's degree in Computer Science, Software Engineering, Information Systems, GIS, or a related field., • Communication & Technical Leadership: Strong problem-solving, communication, collaboration, and technical leadership skills. Important Work & Interview Requirements: Candidates must be available for an in-person interview in New York, NY. The selected candidate must also be able to work onsite five days per week during the first three months before transitioning to a hybrid arrangement. Why This Role? This is an opportunity to contribute to a significant application modernization initiative. The role combines full-stack .NET engineering, cloud application development, database optimization, and geospatial technology within an enterprise project environment. The successful candidate will have the opportunity to apply their technical expertise to modernize applications, integrate GIS capabilities, and deliver robust solutions in collaboration with experienced development teams and agency stakeholders. Contact Details: • Sandeep: sandeep.bisane@peer-consulting.com You can send your updated resumes directly. #Hiring #DotNetDeveloper #SeniorDeveloper #GISDeveloper #ApplicationDeveloper #FullStackDeveloper #CSharp #DotNet #ASPNet #Azure #SQLServer #PostgreSQL #PostGIS #SoftwareEngineering #NewYorkJobs #PeerConsultingResources

Job Title: Python Full Stack Developer Location: New York City, NY OR Boston, MA // Hybrid Hybrid: 4 days in the office Duration: 6-12+ Months Contract Job Summary : We are seeking an experienced engineer to lead the delivery and ongoing improvement of enterprise web applications. This position combines hands-on development with technical guidance across Python services, React interfaces, relational databases, and AWS. You will work closely with business partners and engineering teams to turn requirements into reliable application functionality, supporting the delivery process from initial assessment through production operation. Scope of the Role • Translate business needs into actionable technical solutions by clarifying requirements, evaluating impacts on existing functionality, and estimating development effort., • Define application and component designs, supported by engineering specifications and detailed implementation documentation., • Develop Python-based services and REST endpoints, create responsive React interfaces, and implement the SQL components needed to support application functionality., • Build and maintain applications that use AWS services, with attention to performance, reliability, and the ability to accommodate increasing demand., • Guide developers through implementation decisions, review code contributions, and promote consistent engineering standards throughout the software development lifecycle., • Write and execute unit tests, assist with integration testing and user acceptance testing, and support application releases into production., • Investigate defects and operational issues during testing and after release, implement fixes, and deliver enhancements to existing applications., • Keep technical records, operational instructions, and project documentation current, and identify opportunities to improve application quality and maintainability. Experience and Technical Background • At least 7 years of professional software development experience., • A bachelor’s degree in Computer Science, Engineering, or a related discipline., • Strong practical experience developing backend functionality in Python, using FastAPI, Flask, or Django., • Hands-on experience building web interfaces with React.js., • Strong SQL skills and experience with relational database platforms such as SQL Server, PostgreSQL, or MySQL., • Experience using AWS, including EC2, Lambda, S3, RDS, and API Gateway, to support application requirements., • Familiarity with designing and integrating REST APIs, managing code through Git, and working with CI/CD pipelines., • Experience delivering software within Agile teams and following established development and release practices., • Strong analytical thinking, troubleshooting ability, and clear communication with technical and business stakeholders., • Must have financial industry experience. Additional Experience That Would Be Valuable: • Exposure to Docker, Kubernetes, and Terraform., • Experience developing applications using cloud-native approaches and microservices architectures., • An AWS certification not a must, but can be useful

BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers’ needs into a full- service business solutions provider Visit https://bcforward.com/ to know more about us. We are seeking a Cloud Backend Engineer to join our dynamic team. The ideal candidate will have strong experience in AWS cloud services, backend engineering, and data engineering and a proven ability to design, build, and operate scalable, reliable cloud-native services Role : Cloud Backend Engineer Location : Jersey City, NJ Mode : Onsite Job Description We are seeking a Full Stack Developer to join our dynamic team. The ideal candidate will have strong experience in React, TypeScript, JavaScript, and modern backend services and a proven ability to design, build, test, deploy, and maintain resilient and secure applications using Agile practices. Responsibilities: • Design, develop, and maintain cloud-native backend services on AWS using Java and Python., • Build and optimize data pipelines and integrations leveraging Glue, S3, Lambda, Step Functions, ECS, and Cassandra., • Implement infrastructure as code with Terraform and ensure operational stability and observability., • Develop services and APIs using Spring Boot and gRPC following microservices patterns., • Apply CI/CD, resiliency, and security best practices across the software lifecycle., • Collaborate with cross-functional teams to deliver high-quality solutions and support technical assessments Required Skills & Qualifications: • Formal training or certification in software engineering and 5+ years of applied experience., • Hands-on experience delivering system design, application development, testing, and operations in AWS., • Proficiency in Java and Python., • Expertise with data engineering tools and processes including Apache Kafka, Apache Spark, Cassandra, and ETL., • Experience with AWS services: Glue, S3, Lambda, Step Functions, and ECS., • Experience building services with Spring Boot and gRPC APIs., • Experience with distributed systems, microservices, Kubernetes, and containers., • Advanced understanding of CI/CD, application resiliency, and security., • Proficiency with Terraform for infrastructure as code., • Demonstrated proficiency in software applications and technical processes within cloud and related domains. Preferred Skills: • AWS Solutions Architect Certification Why join BCforward At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: • Competitive compensation and benefits. • Opportunities for growth with global clients. • A supportive, inclusive culture that values innovation and people. • Exposure to cutting-edge technologies and projects. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Candidates must be authorized to work in the United States without employer sponsorship now or in future. Role is not open for contracting.