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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.

About CLS: \n CLS is the trusted party at the centre of the global FX ecosystem. Utilized by thousands of counterparties, CLS makes FX safer, smoother and more cost effective. Trillions of dollars’ worth of currency flows through our systems each day. \n Created by the market for the market, our unrivalled global settlement infrastructure reduces systemic risk and provides standardization for participants in many of the world’s most actively traded currencies. We deliver huge efficiencies and savings for our clients: in fact, our approach to multilateral netting shrinks funding requirements by over 96% on average, so clients can put their capital and resources to better use. \n CLS products are designed to enable clients to manage risk most effectively across the full FX lifecycle – whether through more efficient processing tools or market intelligence derived from the largest single source of FX executed data available to the market. \n \n Job information: \n\n • Functional title – Cyber & Network Security Engineer\n, • Department - CISO\n, • Corporate level – Vice President\n, • Report to - Cyber & Network Security Engineering Lead\n, • Location – Iselin, New Jersey. On Site 2 days per week.\n, • Expected full-time salary range between $170,000 - $190,000 + variable compensation + 401(k) match + benefits.\n\n Note: Disclosure as required by NY Pay Transparency Law of the expected salary compensation range for this role. \n \n What you will be doing: \n The Vice President (VP), Security Engineering is a senior technical engineering role responsible for leading the deployment, automation, and operational support of enterprise security platforms and controls. Ideally the candidate will have AWS cloud infrastructure security tooling integration, security automation experience. \n This role requires a hands-on engineer who can build and deploy AWS-based environments to evaluate, test, and design and operationalize new security technologies and engineer off the shelf security tools. They will lead and mentor the junior engineers. Curiosity to learn, get stuck in and get things delivered. \n \n Key Responsibilities: \n Security Engineering & Tool Deployment \n\n • Design, build and configuring and maintain enterprise security platforms and services.\n, • Have experience with some or all the following products\n, • Splunk Enterprise / Splunk Cloud\n, • Forcepoint Web Security\n, • Forcepoint Email Security & DLP\n, • Zscaler DLP and Internet Access\n, • Microsoft Purview DLP\n, • Qualys VMDR\n, • Crowdstrike Faclon\n, • Additional threat detection, monitoring, and data protection technologies.\n, • Troubleshoot platform, infrastructure, and integration issues across security ecosystems.\n, • Work with infrastructure engineering on infrastructure deliverables ensuring that security is engineered into their solutions.\n, • Provide senior leadership and guidance to the wider engineering community.\n\n \n AWS Infrastructure Engineering \n\n • Help build and manage AWS environments used for proof-of-concepts, product evaluation, security testing, and production deployments.\n, • Develop repeatable Infrastructure-as-Code (IaC) capabilities for rapid deployment of security tooling.\n, • Engineer secure cloud architectures incorporating:\n, • EC2\n, • VPCs\n, • Security Groups\n, • IAM\n, • Route53\n, • S3\n, • Lambda\n, • CloudWatch\n, • GuardDuty\n, • AWS Organizations\n, • Support secure cloud adoption initiatives and platform modernization programs.\n\n \n Security Automation & Development \n\n • Develop automation solutions using Python to reduce operational overhead and improve security effectiveness.\n, • Create and maintain scripts, APIs, orchestration workflows, and automation frameworks for:\n, • Security tool deployment\n, • Configuration management\n, • Monitoring and alerting\n, • Compliance validation\n, • Asset discovery\n, • Data collection and reporting\n, • Integrate security tooling with enterprise workflows and operational platforms.\n\n \n Security Monitoring & Detection Engineering \n\n • Design and implement security monitoring use cases.\n, • On board new log sources.\n, • Develop Splunk searches, correlation rules, dashboards, and reporting capabilities.\n, • Improve threat detection coverage through security telemetry integration and log onboarding.\n, • Partner with Cyber Defense teams to improve detection engineering and incident response capabilities.\n\n \n Data Protection Engineering \n\n • Deploy and manage enterprise Data Loss Prevention (DLP) solutions.\n, • Configure and optimize:\n, • Forcepoint DLP\n, • Microsoft Purview DLP\n, • Zscaler DLP\n, • Work with data owners and security architects to implement controls protecting sensitive information.\n\n \n Technical Leadership \n\n • Collaborate closely senior engineers and architects to deliver secure-by-design solutions.\n, • Support security technology roadmaps and strategic initiatives.\n\n \n Experience \n\n • 5+ years of experience in Security Engineering, Cloud Security Engineering, or Infrastructure Security.\n, • Experience mentoring and leading junior engineers.\n, • Experience working across engineering and architecture groups to deliver solutions that are secure from the ground up.\n, • Experience building and deploying AWS environments from the ground up.\n, • Hands-on experience onboarding, configuring, and operating enterprise security platforms.\n, • Strong experience automating security operations using Python.\n, • Experience supporting security technology evaluations, proof-of-concepts, and production rollouts.\n\n \n Technical Skills: \n Cloud & Infrastructure \n\n • AWS (preferred)\n, • Infrastructure-as-Code concepts\n, • Linux and Windows administration\n, • Networking fundamentals (TCP/IP, DNS, HTTP/S, Routing, Proxies)\n\n \n Security Technologies (all not essential but desirable) \n\n • Splunk\n, • Forcepoint Web Security\n, • Forcepoint DLP\n, • Forcepoint Email Security\n, • Zscaler DLP\n, • Microsoft Purview DLP\n, • Qualys VMDR\n, • SIEM, Endpoint Detection & Response (EDR), DLP, and Vulnerability Management technologies\n, • Ansible\n, • SCCM\n\n \n Development & Automation \n\n • SPL\n, • Python\n, • REST APIs\n, • Automation frameworks\n, • Scripting and orchestration\n, • CI/CD concepts\n\n \n Desirable Qualifications \n\n • AWS Solutions Architect, Security Specialty, or equivalent certification.\n, • Splunk Power User, Admin, or Architect certification.\n, • CrowdStrike Certified Falcon Administrator.\n, • Experience with Terraform or CloudFormation.\n\n \n Key Competencies \n\n • Troubleshooting and problem-solving skills.\n, • Strong engineering mindset with a passion for automation.\n, • Strong desire to learn new technologies.\n\n \n Success Measures \n\n • Engineering and onboarding of security technologies.\n, • Increased automation and reduction in manual operational effort.\n, • Improved security monitoring and detection capabilities.\n, • Stable, scalable, and secure AWS-hosted security infrastructure.\n, • Successful delivery of security engineering initiatives aligned with business and security objectives.\n\n \n What we’re looking for: \n\n • Experience in security engineering / cyber engineering in complex, regulated environments (markets technology / investment banking / FMI strongly preferred).\n, • Proven delivery of large-scale security platforms end-to-end (design → build → run), including multi-system integration.\n, • Engineering mindset: able to go deep on architecture, automation, telemetry, and operational resilience.\n, • Strategic thinker with the ability to translate vision into execution.\n, • Strong communicator and collaborative who can work across the organization.\n, • Data-driven and outcome-focused, with a bias toward measurable security improvements.\n, • Comfortable operating in fast-paced, evolving environments.\n\n \n Professional qualifications / certifications: \n\n • Experience in security engineering (5+ years)\n, • Experience in:\n, • Working in highly regulated operations and complex organizational structures.\n, • Reporting to senior leadership supporting executive level decision-making and prioritization.\n, • Engaging in complex governance, contributing to multi-layered committees or forums.\n, • Understand, interpret and apply regulatory requirements, compliance and industry standards.\n\n \n Our commitment to employees: \n We are a small company with a big mandate, so every person is essential to our success. We are also committed to employing and retaining the most talented and dedicated people. \n What makes us interesting goes beyond our competitive salaries and great benefits. Our work environment is designed around quality outcomes, not output. The FX market would cease to function without our services, and we take pride in being responsible for keeping it running smoothly. \n We are different from other financial institutions in that we have a flatter and more transparent structure, with accessible leadership. You will be seen, heard and empowered to develop your career. \n We are a purpose-driven organization, with an inclusive culture that focuses on doing what is right. The well-being of our people is as important to us as the resilience of our systems. In addition to encouraging our people to ‘locate for their day,’ we run a range of initiatives that support a sense of belonging, as well as physical, emotional and mental well-being. \n \n Our extensive benefits for employees typically include: \n\n • Vacation/annual leave: 25 days in UK/Asia + 3 life days, 23 in US + 3 life days\n, • Private medical and dental cover and life insurance\n, • Generous pension contributions in the UK and Asia; matching 401(k) in the US\n, • Paid volunteer days\n, • ‘Locate for your day’ hybrid working - 2 days a week in office\n, • Access to Discover – our learning platform with 1000+ courses from LinkedIn Learning\n, • Paid parental leave / Coaching and support services\n, • Career development / LinkedIn Learning\n, • ‘Heads down days’ with no meetings on the last Friday of every month\n, • Wellbeing / Mental health support\n, • Employee Networks (Black Employee Network, Parents & Caregivers Network, Pride Network, Sustainability Network, Veterans Network, Women’s Forum)\n, • Social events\n\n \n Awards: \n\n • The Sunday Times Best Places to Work 2023, 2024, 2025 / Big Company / The Sunday Times Awards\n, • Third place in Britain’s Healthiest Workplace 2022 / Medium Company / Vitality Awards\n\n

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.

Overview \n Ampcus is seeking a UAT Test Analyst to support both manual and automated testing for ERP implementations (CGI Advantage or similar). \n This role combines hands-on UAT execution with automation development, focusing on building reusable test scripts, supporting regression testing, and improving overall testing efficiency. \n \n Key Responsibilities \n\n • Execute UAT test cases across ERP modules:\n, • GL, P2P, O2C, AP/AR, Grants, Projects\n, • Develop and maintain automation test scripts for:\n, • UAT smoke testing\n, • Regression testing\n, • End-to-end business scenarios\n, • Work with Automation Lead to:\n, • Convert manual test cases into automated scripts\n, • Identify high-value automation opportunities\n, • Develop scripts using programming languages (not record/playback tools)\n, • Support automation for:\n, • UI workflows\n, • API/services validation (where applicable)\n, • Integrate test scripts into CI/CD pipelines (as applicable)\n, • Perform:\n, • Test execution and validation\n, • Data validation and comparison checks\n, • Support data conversion testing, including:\n, • Validation of migrated data sets\n, • Comparison of legacy vs. target system results\n, • Log and track defects in Jira with proper documentation and evidence\n, • Participate in:\n, • UAT cycles\n, • Defect triage and retesting\n\n \n Required Qualifications \n\n • 4–8+ years in QA/UAT and test automation\n, • Strong programming skills in one or more:\n, • Java, Python, or C#\n, • Experience with automation tools such as:\n, • Selenium, Playwright, Cypress, or similar\n, • Experience with:\n, • Test case execution and defect tracking (Jira or similar)\n, • Understanding of:\n, • End-to-end business workflows (P2P, O2C preferred)\n, • Experience with:\n, • Data validation and basic reconciliation\n\n \n Preferred Qualifications \n\n • Experience with:\n, • ERP systems (CGI Advantage, Oracle, SAP, PeopleSoft)\n, • Exposure to:\n, • CI/CD tools (Azure DevOps, Jenkins, GitHub Actions)\n, • Experience with:\n, • API testing (Postman, REST frameworks)\n, • SQL for data validation\n, • Exposure to:\n, • Data conversion testing\n

\n ARMStaffing is seeking a travel CT Technologist for a travel job in Hackensack, New Jersey. Job Description & Requirements\n \n • Specialty: CT Technologist\n, • Discipline: Allied Health Professional\n, • Start Date: ASAP\n, • Duration: 14 weeks\n, • 40 hours per week\n, • Shift: 8 hours, evenings\n, • Employment Type: Travel\n \n ```html Location\n Hackensack, NJ Schedule / Shift\n Sun-Thursday 4pm-12:30am (Friday & Saturday OFF); 8-hour shifts. Job Description\n The Cat Scan Technologist performs computer tomography procedures and related techniques, producing sectional and three-dimensional images for interpretation and assists with interventional and therapeutic procedures. Responsibilities\n \n • Perform complex CT procedures using professional judgment.\n, • Review and obtain patients' clinical history, ensuring documentation is accurate and scanned into PACS.\n, • Screen and review the accuracy of the contrast questionnaire with patient/family and scan into EPIC.\n, • Identify and/or administer contrast media for CT exams prescribed by a licensed practitioner.\n, • Verify appropriateness of exam prescriptions and communicate with Radiologist and Referring Physician when incorrect.\n, • Call physicians to clarify prescriptions in accordance with CT protocols.\n, • Verify insurance authorized exam scripts and manage exam modification forms for re-verification.\n, • Obtain outside studies (CD) and schedule them in EPIC for Radiologist comparison.\n, • Provide exam copies to patients and referring physicians.\n, • Evaluate radiographs using PACS System for proper identification and diagnostic value.\n, • Gather relevant information from medical records and prepare protocols for scanning and patient safety.\n, • Prep patients for scanning, including shielding and immobilization devices.\n, • Determine appropriate type and dose of contrast to be administered.\n, • Provide accurate explanations and instructions to patients regarding procedures.\n, • Perform venipuncture and monitor patients for adverse reactions during procedures.\n, • Adhere to policies regarding employee conduct, attendance, and patient care standards.\n, • Lift a minimum of 25 lbs., push/pull 50 lbs., and stand for at least 6 hours per day.\n, • Identify and modify care based on patient needs related to age, culture, language, etc.\n Required Experience\n Relevant experience in CT procedures is required. Certifications / Licensure\n Must be certified and hold relevant licensure for practice as a Cat Scan Technologist. ```\n \n ARMStaffing Job ID #38481519. Pay package is based on 8 hour shifts and 40.0 hours per week (subject to confirmation) with tax-free stipend amount to be determined. Posted job title: Radiology:CT Tech,15:00:00-23:00:00 About ARMStaffing\n \n Allied Resources Medical Staffing (ARMStaffing) places the most qualified medical professionals in the industry, including: local and travel contract, temp-to-perm, per diem, and direct-hire personnel. \n As a leader in medical staffing, we cover every segment of the healthcare market and take pride in our ability to exceed our clients' expectations. We accomplish this through our total dedication to our clients and field associates, our over 15 years of experience, a strong and diverse poor of medical professionals, and the high level of loyalty of our internal staff. \n We also make it a point to develop and maintain close relationships with staffing and office managers to ensure clear communication and proper placements based on the client's criteria. This allows us to tailor our services to best suit the staffing needs of our clients, while placing our employees in positions that match their abilities and preferences. \n Our goal is to offer unparalleled service to our valued healthcare clients, regardless of facility size or location, and to maintain a top-notch workforce of qualified, dedicated and medical professionals. \n The Experts in Healthcare Recruiting \n \n • Local and travel contracts\n, • Temp-to-perm employment\n, • Direct-hire personnel\n, • Per Diem\n, • Staffing for every segment of the healthcare industry including, RNs, LPNs, and CNAs, and Allied Health Professionals\n, • Long-term contracts, block scheduling and per diem staffing options\n, • 24-Hour customer service and on-call support 365 days a year\n, • Full-time, registered nurse on staff to provide screening, background, and reference checks\n, • Long-term and temporary career options with outstanding employee benefits\n, • Medical Benefits\n, • Company-matched 401K\n \n \n \n

AI Developer - Healthcare Technology Position Summary We are seeking an experienced AI Developer to design, develop, validate, and deploy advanced artificial intelligence solutions that enhance healthcare operations, clinical workflows, patient engagement, and business performance. This role combines expertise in machine learning, generative AI, software engineering, and healthcare data systems to create scalable, secure, and compliant AI-driven applications. The ideal candidate will have hands-on experience with modern AI platforms, including Large Language Models (LLMs) such as Claude (Anthropic), OpenAI, and other enterprise AI technologies, with the ability to translate complex healthcare challenges into practical and measurable solutions. Key Responsibilities • Design, develop, test, and deploy AI/ML solutions supporting healthcare use cases, including clinical documentation, patient communications, predictive analytics, care coordination, revenue cycle optimization, and workflow automation., • Build and maintain generative AI applications leveraging Large Language Models (LLMs) such as Claude, OpenAI, Gemini, and related AI platforms., • Develop and optimize prompt engineering frameworks, retrieval-augmented generation (RAG) architectures, and AI-powered knowledge management solutions., • Collaborate with clinicians, operational leaders, data engineers, product teams, and compliance stakeholders to identify opportunities for AI-driven improvements., • Build secure and scalable data pipelines utilizing structured and unstructured healthcare data, including EHR, claims, laboratory, operational, and patient communication datasets., • Integrate AI applications into existing healthcare platforms, workflows, and enterprise systems while ensuring high performance and user adoption., • Evaluate model accuracy, explainability, fairness, reliability, and risk factors throughout the AI lifecycle., • Implement monitoring and governance processes to detect model drift, performance degradation, and compliance concerns., • Maintain detailed technical documentation for AI systems, model validation, governance controls, deployment procedures, and audit requirements., • Support HIPAA-compliant development practices and ensure secure handling of protected health information (PHI)., • Stay current with advancements in healthcare AI, machine learning, LLM technologies, and responsible AI frameworks. Required Qualifications • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Biomedical Informatics, or related field., • 3+ years of experience developing machine learning, deep learning, natural language processing (NLP), or generative AI solutions., • Strong proficiency in Python and AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, LangChain, Hugging Face, or similar technologies., • Experience building and consuming REST APIs, working with cloud platforms, databases, and distributed applications., • Experience deploying production-grade AI applications within secure enterprise environments., • Strong understanding of data privacy, security principles, secure coding practices, and healthcare compliance requirements., • Excellent problem-solving, analytical, communication, and stakeholder management skills. Preferred Qualifications Generative AI & Claude Experience • Demonstrated knowledge and hands-on experience with Claude (Anthropic AI) for enterprise generative AI solutions, conversational AI, document analysis, content generation, and workflow automation., • Experience designing and optimizing prompts within Claude to improve response quality, consistency, factual accuracy, and operational efficiency., • Knowledge of Claude APIs, integrations, model selection strategies, and enterprise AI deployment considerations., • Experience evaluating and comparing AI model outputs across platforms including Claude, OpenAI, Gemini, and other emerging LLM technologies., • Familiarity with Retrieval-Augmented Generation (RAG), vector databases, semantic search, embeddings, and AI agent frameworks utilizing Claude models. Healthcare & Technical Experience • Experience working with healthcare interoperability standards including HL7, FHIR, CDA, and EHR systems., • Familiarity with HIPAA, HITECH, healthcare compliance programs, and healthcare data governance., • Experience implementing MLOps practices including CI/CD, model monitoring, model versioning, deployment pipelines, and reproducibility frameworks., • Understanding of Responsible AI principles, including explainability, transparency, bias mitigation, human oversight, and regulatory compliance., • Master's degree or advanced certification in Artificial Intelligence, Data Science, Health Informatics, Biomedical Engineering, or related discipline. Core Competencies • Healthcare technology innovation, • Machine learning and generative AI development, • Claude and enterprise LLM implementation, • Prompt engineering and AI workflow optimization, • Secure handling of healthcare data, • Healthcare interoperability and data integration, • AI governance and compliance, • Cross-functional collaboration, • Strategic problem solving, • Technical documentation and communication Equal Opportunity Employer We are an equal opportunity employer committed to creating a diverse, inclusive, and respectful workplace. Employment decisions are made based on qualifications, merit, business needs, and applicable federal, state, and local laws. Nice-to-Have Addition (makes the posting look especially current) Experience with AI-powered healthcare copilots, multi-agent AI systems, Claude-based document intelligence solutions, and enterprise-scale AI deployments within regulated healthcare environments. This is the type of language currently appearing in higher-paying Healthcare AI, Healthcare SaaS, and HealthTech startup job postings, and it makes the role look substantially more credible and aligned with 2026 market expectations.

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.

Senior AWS Software & DevOps Engineer — Hands-On Startup Role We’re a fast-moving technology startup looking for a Senior AWS Software & DevOps Engineer who wants to build, not manage from the sidelines. This is a combined Software Engineering and DevOps role. We’re a small, highly technical team, and DevOps isn’t a separate department—it’s directly embedded in our software development lifecycle and engineering team. This is a 100% hands-on-keyboard role. No slide decks. No paper pushing. No layers of process. You’ll design and build backend services, create and maintain cloud infrastructure, automate deployments, troubleshoot production issues, and work side-by-side with our software engineers throughout the entire SDLC. Location: Hazlet, NJ Schedule: Full-time, in-office 5 days per week What You'll Work With • Infrastructure as Code (IaC) — strong hands-on experience required, • AWS CDK and CloudFormation, • Python and Bash scripting, • Bitbucket Pipelines / CI/CD, • API Gateway, • AWS Lambda, • RDS, • DynamoDB, • SQS, • AWS IoT Core, • Cognito, • S3, • Serverless and event-driven architectures, • Backend software development and APIs What We're Looking For We’re looking for someone senior enough to own problems end-to-end, but who still loves writing code, building infrastructure, digging through logs, improving CI/CD, troubleshooting production systems, and figuring things out. You should have strong hands-on experience with AWS and Infrastructure as Code, specifically using tools such as CloudFormation and AWS CDK, along with the ability to script and automate using Python and Bash. Because we’re a small company, there is no wall between development and DevOps. The same engineers who build our products help architect, deploy, operate, monitor, and improve them. You’ll be an integral part of that team. This is a fantastic opportunity for someone who wants broad exposure, real responsibility, and the ability to learn, grow, and have a direct impact on the products and technology we build. If you’re an experienced AWS engineer who enjoys both software development and cloud infrastructure—and would rather build things than talk about building things—we’d love to meet you.

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.

Please share your resume to suman.dabbeta@yoh.com Suman Dabbeta | Sr. Recruiter | Yoh https://www.linkedin.com/in/sumandabbeta/ Python Developer w/ DBT, Oracle, Linux, Airflow Developer - Onsite Final Interview DBT needed Location: Jersey City, NJ - 3 days onsite Onsite interview is required. Hybrid role Please only genuine resumes * open for vendor candidates* 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. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from an @yoh.com email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.

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.

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.

Hadoop Engineer with Java Location: Whippany NJ (Hybrid -3 days a week) • Lead the architecture, design, development, and operational stewardship of real-time streaming and data platform capabilities, remaining hands-on in key technical decisions and implementation where appropriate., • Write, review, and guide high-quality production code for critical platform components, setting the bar for engineering standards, maintainability, resilience, and performance., • Lead and develop engineering teams, providing technical direction, coaching, and delivery leadership while creating a culture of accountability, ownership, and continuous improvement., • Own the design and production operation of resilient, low-latency streaming solutions that process critical financial events with strong guarantees for correctness, recoverability, observability, scalability, and control., • Run streaming platforms at scale, including responsibility for production health, capacity, reliability, incident response, recovery, and continuous service improvement., • Partner with business, product, architecture, and control stakeholders to shape roadmaps, solve complex engineering problems, and align platform delivery with business and regulatory requirements., • Drive platform modernization across streaming, event processing, and data movement, balancing hands-on technical contribution with leadership across delivery priorities and dependencies., • Establish strong engineering disciplines across testing, code review, release management, observability, incident response, capacity planning, and production readiness for real-time workloads. To be successful you should have experience with: • Deep experience designing, building, and operating real-time data platforms, streaming architectures, and distributed systems in complex enterprise environments., • At least 8 years of hands-on experience running real-time streaming solutions in production at scale, with accountability for reliability, performance, observability, recovery, and operational stability., • Strong software engineering capability, with fluency in Java programming and a track record of writing production-grade code and leading technical implementation for business-critical systems., • Strong technical credibility in streaming and event-driven systems, including topics such as partitioning, ordering, stateful processing, delivery semantics, replay, fault tolerance, and platform resilience., • Proven experience leading engineering teams, mentoring developers, and driving delivery while maintaining high standards across design, coding, testing, and operational support., • Experience working with modern streaming and data technologies such as Kafka, Pulsar, Kinesis, Flink, Spark Structured Streaming, or equivalent platforms, with the judgment to select the right patterns for the problem., • Strong understanding of control, governance, and risk management expectations for production data platforms, particularly where resilience, auditability, and data correctness are business critical. Some other highly valued skills may include: • Experience leading engineering organizations using modern data platforms such as Databricks or equivalent ecosystems for large-scale data and analytics workloads., • Working knowledge of cloud-native platform capabilities across compute, storage, orchestration, observability, and security in support of resilient data services., • Strong understanding of software engineering lifecycle practices, including CI/CD, platform automation, release controls, and operational governance for critical services., • Experience operating in financial services, payments, trading, or similarly regulated environments where non-functional requirements, controls, and recoverability are essential., • Ability to communicate complex technical strategy clearly to senior business and technology audiences, building confidence, alignment, and support for change.

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.

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.

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.

Location: New York, NY Employment Type: Full-Time Position Summary We are seeking an experienced WebSphere Administrator / Middleware Administrator to support enterprise-scale, business-critical applications and middleware infrastructure. The ideal candidate will have strong hands-on experience with IBM WebSphere Application Server Traditional (tWAS), WebSphere Liberty, IBM MQ, Linux/UNIX, and middleware automation. This role will be responsible for the installation, configuration, maintenance, upgrades, troubleshooting, and production support of middleware platforms supporting critical enterprise applications. The position requires someone who can work independently, collaborate across application and infrastructure teams, troubleshoot complex production issues, and support ongoing maintenance and phased application rollouts. Key Responsibilities • Install, configure, administer, maintain, and troubleshoot IBM WebSphere Application Server Traditional (tWAS) and WebSphere Liberty environments., • Manage WebSphere Liberty configurations, including server.xml, bootstrap.properties, and jvm.options., • Administer and support IBM MQ, IBM HTTP Server (IHS), WebSphere Message Broker, Cognos, and related middleware technologies., • Perform middleware upgrades, patching, configuration changes, and application deployments., • Use Ansible for middleware administration, automation, configuration management, and deployments., • Utilize Git for source control and configuration management., • Support CI/CD processes using Jenkins, CloudBees, or similar tools., • Implement Configuration as Code and DevOps practices across middleware environments., • Troubleshoot Java/JVM and middleware-related issues and perform detailed Root Cause Analysis (RCA)., • Support production middleware infrastructure for enterprise-wide applications., • Work closely with application development, infrastructure, database, and operations teams., • Create and maintain technical documentation, operational procedures, and troubleshooting guidelines., • Participate in 24x7 production support, including nights/weekends when required. Required Qualifications • 5+ years of Middleware Administration experience., • Strong hands-on experience with IBM WebSphere Application Server Traditional (tWAS)., • Strong experience administering WebSphere Liberty., • Experience working with Linux/UNIX-based platforms., • Hands-on experience with IBM MQ and related middleware technologies., • Experience with Ansible, Git, and middleware automation., • Good understanding of CI/CD and DevOps methodologies., • Experience troubleshooting Java/JVM-related errors., • Understanding of relational database concepts and SQL., • Experience supporting large-scale enterprise production environments., • Strong troubleshooting, analytical, documentation, and RCA skills., • Ability to work independently and effectively manage multiple priorities. Preferred Skills Experience with Jenkins/CloudBees, IBM HTTP Server, WebSphere Message Broker, Oracle WebLogic, Cognos, Configuration as Code, and enterprise application deployment automation is highly preferred. Candidates should also possess strong written and verbal communication skills and be comfortable collaborating with multiple technical and business teams. Interested candidates can apply or share their updated resume for consideration.

TSR Consulting is currently seeking a highly motivated Lead/Senior Full Stack Java Developer for a Hybrid opportunity in Rutherford, NJ Role: Senior Java Full Stack Engineer / Lead Developer Duration: 6+ Months Location: Rutherford, NJ (Hybrid) We are looking for a Senior Java Full Stack Engineer / Lead Developer with strong experience in Java, Spring Boot, Spring Cloud, and Microservices to design, develop, and support scalable and secure enterprise applications. Required Skills: • Strong hands-on experience with Java 8+ and Spring Boot / Spring Cloud., • Strong understanding of Microservices architecture and design patterns., • Experience developing RESTful APIs; GraphQL is a plus., • Strong experience with SQL/RDBMS such as Oracle or PostgreSQL., • Experience with NoSQL databases such as MongoDB or Cassandra., • Experience with Kafka, RabbitMQ, or JMS and event-driven architectures., • Strong experience with JUnit, Mockito, integration testing, and automated testing., • Experience with Git, Maven/Gradle, and modern development practices., • Experience with AWS, Azure, or GCP and cloud-native applications., • Hands-on experience with Docker and Kubernetes., • Experience designing and maintaining CI/CD pipelines., • Knowledge of application monitoring and observability tools such as Splunk, Grafana, Prometheus, ELK, or Jaeger., • Understanding OAuth2, JWT, secure coding, and vulnerability management., • Strong communication, problem-solving, and technical leadership/mentoring skills., • Experience working in Agile/Scrum environments., • Bachelor's degree or equivalent experience. Benefits: TSR Consulting offers all eligible employees a comprehensive benefits package including, but not limited to, major medical, HSA, dental, vision, employer-provided group life, voluntary life insurance, short-term disability, long-term disability, and 401k. About TSR: TSR is a trusted staffing and workforce solutions partner with more than 50 years of experience delivering highly qualified talent to support clients' most critical business and technology initiatives. Through a disciplined approach to sourcing, candidate vetting, and delivery, TSR helps organizations scale teams quickly while maintaining quality and reliability. TSR operates with a global delivery model, leveraging specialized teams to support enterprise clients across North America and beyond. In June 2024, TSR was acquired by Justin Christian, founder and CEO of BCforward, a global provider of professional services and workforce solutions.

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.

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled GenAI Fullstack Engineer to join our innovative and dynamic team. Employment Type: Full-time Location: Onsite- Englewood Cliffs, NJ GenAI Fullstack Engineer | About the Role As a GenAI Fullstack Engineer, you will design and build scalable enterprise applications that combine robust Java-based backend engineering with modern Generative AI capabilities. You will work across Java, Spring Boot, Microservices, Python, FastAPI, LLMs, RAG, and Vector Databases to develop production-ready AI services and integrate them with enterprise applications. The ideal candidate is a strong software engineer who has expanded into hands-on GenAI engineering and can develop secure, scalable solutions spanning traditional backend services, AI orchestration, enterprise knowledge retrieval, and LLM-powered applications. GenAI Fullstack Engineer | Day-to-Day • Design, develop, and maintain scalable backend applications and REST APIs using Java, Spring Boot, Microservices, Spring Security, and Spring Data/JPA., • Build and integrate production-grade GenAI and LLM applications, connecting AI services with existing Java/Spring Boot enterprise applications and business systems., • Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, embeddings, indexing, semantic search, context retrieval, reranking, and response generation., • Develop AI services and orchestration components using Python and FastAPI, leveraging frameworks such as LangChain, LangGraph, LlamaIndex, or Hugging Face to support reusable enterprise AI capabilities., • Implement and optimize Vector Databases such as Pinecone, Weaviate, OpenSearch, FAISS, or ChromaDB to enable enterprise knowledge retrieval and semantic search., • Integrate LLM platforms such as Azure OpenAI, OpenAI, AWS Bedrock, Claude, Gemini, or Llama, applying prompt engineering, response evaluation, guardrails, and optimization techniques to improve solution accuracy and reliability., • Build secure and observable AI/backend services by implementing authentication, authorization, exception handling, logging, monitoring, API security, and production-grade engineering standards., • Containerize and deploy applications using Docker and CI/CD pipelines, collaborating with architects, data engineers, developers, and business teams to deliver reliable and scalable GenAI solutions. GenAI Fullstack Engineer | Skills & Experience • Strong software engineering 3+ years experience with Java, Spring Boot, Microservices, and REST APIs, including hands-on experience designing scalable and distributed enterprise backend applications., • Hands-on experience developing production GenAI/LLM applications, including LLM integration, prompt engineering, response evaluation, and enterprise AI use cases., • Strong production experience with RAG architectures, including embeddings, document ingestion, chunking, semantic retrieval, reranking, context construction, and RAG quality optimization., • Strong working knowledge of Python and FastAPI, with experience building AI/ML services and integrating Python-based AI components with Java/Spring Boot applications., • Hands-on experience with Vector Databases and GenAI frameworks, such as Pinecone, Weaviate, OpenSearch, FAISS, ChromaDB, LangChain, LangGraph, LlamaIndex, or Hugging Face., • Experience with cloud and modern deployment practices, including AWS, Azure, or GCP, Docker, CI/CD, monitoring, observability, and production deployment of AI services., • Additional exposure to Agentic AI, MCP (Model Context Protocol), AI guardrails, LLMOps, Kubernetes, knowledge graphs, multimodal AI, and event-driven microservices is advantageous.

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)

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

Please contact Kajal Daftary at kajal.daftary@yoh.com Location: NJ USC and GC - No corps LOCALS TO NJ NY AREA Must Haves: -Azure -Databricks -Apache Spark -CI/CD Databricks / Azure Consultant – Job Summary Seeking two experienced Databricks / Azure Consultants to support the design, implementation, and ongoing development of the Databricks data platform. The consultants will work with technology and data teams to build and enhance scalable data solutions using Databricks and Microsoft Azure, with a strong focus on data engineering, integration, security, automation, and platform best practices. Ideal candidates will have strong hands-on experience across the Databricks ecosystem, including Databricks Workspace, Unity Catalog, Delta Lake, Spark, and MLflow, along with experience developing solutions in Microsoft Azure. Candidates should be comfortable working in a large enterprise environment and collaborating across application development, infrastructure, cloud, security, architecture, and data teams. Key Skills and Experience • Databricks Ecosystem: Hands-on experience with Databricks Workspace, Unity Catalog, Delta Lake, Spark UI, and MLflow., • Programming & Data Engineering: Strong development experience with Python, PySpark, SQL, and/or Java, including the development and optimization of data processing and ETL/ELT pipelines., • Cloud Platforms: Strong Microsoft Azure experience, particularly Azure Databricks, Azure Data Lake Storage Gen2 (ADLS Gen2), and Azure Data Factory. Experience with AWS, including S3 and IAM, is also desirable., • Apache Spark: Experience developing, troubleshooting, and performance-tuning Spark-based workloads and data processing pipelines., • DevOps & MLOps: Experience with Git, CI/CD pipelines, OpenShift, Kubernetes, and Terraform / Infrastructure as Code (IaC)., • Security & Governance: Experience implementing or supporting Databricks security, access controls, secrets management, identity integration, data governance, and Unity Catalog., • Automation & Operations: Experience with Databricks workflows, job orchestration, monitoring, troubleshooting, performance optimization, and production support., • Enterprise Delivery: Ability to collaborate across technical teams and operate within established enterprise architecture, security, change-management, and governance standards., • Knowledge of Apache Airflow Preferred Experience Experience designing and delivering production-grade Databricks solutions in a large enterprise environment, particularly where security, data governance, resiliency, automation, and operational support are key requirements. Estimated Min Rate: $59.50 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. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from an @yoh.com email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.

Location: NJ USC and GC - No corps LOCALS TO NJ NY AREA Must Haves: -Azure -Databricks -Apache Spark -CI/CD Databricks / Azure Consultant – Job Summary Seeking two experienced Databricks / Azure Consultants to support the design, implementation, and ongoing development of the Databricks data platform. The consultants will work with technology and data teams to build and enhance scalable data solutions using Databricks and Microsoft Azure, with a strong focus on data engineering, integration, security, automation, and platform best practices. Ideal candidates will have strong hands-on experience across the Databricks ecosystem, including Databricks Workspace, Unity Catalog, Delta Lake, Spark, and MLflow, along with experience developing solutions in Microsoft Azure. Candidates should be comfortable working in a large enterprise environment and collaborating across application development, infrastructure, cloud, security, architecture, and data teams. Key Skills and Experience • Databricks Ecosystem: Hands-on experience with Databricks Workspace, Unity Catalog, Delta Lake, Spark UI, and MLflow., • Programming & Data Engineering: Strong development experience with Python, PySpark, SQL, and/or Java, including the development and optimization of data processing and ETL/ELT pipelines., • Cloud Platforms: Strong Microsoft Azure experience, particularly Azure Databricks, Azure Data Lake Storage Gen2 (ADLS Gen2), and Azure Data Factory. Experience with AWS, including S3 and IAM, is also desirable., • Apache Spark: Experience developing, troubleshooting, and performance-tuning Spark-based workloads and data processing pipelines., • DevOps & MLOps: Experience with Git, CI/CD pipelines, OpenShift, Kubernetes, and Terraform / Infrastructure as Code (IaC)., • Security & Governance: Experience implementing or supporting Databricks security, access controls, secrets management, identity integration, data governance, and Unity Catalog., • Automation & Operations: Experience with Databricks workflows, job orchestration, monitoring, troubleshooting, performance optimization, and production support., • Enterprise Delivery: Ability to collaborate across technical teams and operate within established enterprise architecture, security, change-management, and governance standards., • Knowledge of Apache Airflow Preferred Experience Experience designing and delivering production-grade Databricks solutions in a large enterprise environment, particularly where security, data governance, resiliency, automation, and operational support are key requirements. Estimated Min Rate: $59.50 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. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from an @yoh.com email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.

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.

Title : AI Architect Location : Nutley, NJ or NY Duration : 12+ Months Rate : OPEN Visa Status : Any In-Person Interview : No Relevant Experience (in Yrs.) : 5+ Detailed Job Description: We are seeking an experienced AI Architect to design, architect, and lead the implementation of enterprise-scale Artificial Intelligence (AI), Machine Learning (ML), Generative AI, and Agentic AI solutions. The ideal candidate will have strong expertise in AI architecture, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), multi-agent systems, cloud AI platforms, and enterprise application integration. The AI Architect will collaborate with business stakeholders, data scientists, ML engineers, software developers, security teams, and enterprise architects to translate business requirements into scalable, secure, reliable, and cost-effective AI solutions. Key Responsibilities • Define enterprise AI architecture, reference architectures, technical standards, and implementation roadmaps., • Design and implement Generative AI solutions using LLMs, prompt engineering, RAG, embeddings, vector databases, and semantic search., • Architect AI agents and multi-agent workflows using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent technologies., • Evaluate and integrate foundation models from OpenAI, Azure OpenAI, AWS Bedrock, Google Vertex AI, Anthropic, and other AI platforms., • Design scalable AI services and integrations using Python, REST APIs, microservices, and event-driven architectures., • Build enterprise knowledge retrieval solutions using vector databases and enterprise data sources., • Define MLOps and LLMOps practices covering model deployment, CI/CD, automated evaluation, monitoring, versioning, and lifecycle management., • Establish AI security and governance standards, including responsible AI, data privacy, access control, model risk management, and regulatory compliance., • Optimize AI solutions for performance, latency, scalability, token consumption, and cloud operating costs., • Collaborate with business and technical teams to identify AI use cases, conduct proof of concepts, and transition successful solutions into production., • Establish evaluation frameworks to measure model accuracy, hallucination rates, relevance, reliability, and business outcomes., • Mentor AI/ML engineers and provide technical leadership throughout solution design, development, deployment, and operations. Thanks, and Regards Prasanna Kumar Senior Talent Acquisition Lead Ascii Group LLC Email: prasanna.bommu@asciigroup.com Phone: +1 313-435-0820/(248) 476-7600 Ext 112

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

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

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. _

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

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

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

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.

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 16,400+, and has 60 offices in 20 countries within key global markets. Our challenge We are seeking a highly skilled and experienced Senior Data Engineer specializing in Master Data Management (MDM) to join our data team. The ideal candidate will have a strong background in designing, implementing, and managing end-to-end MDM solutions, preferably within the financial sector. Candidate will be responsible for architecting robust data platforms, evaluating MDM tools, and aligning data strategies to meet business needs. 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 Iselin, NJ is $140k - $155k/year & benefits (see below). The Role Responsibilities: • Lead the design, development, and deployment of comprehensive MDM solutions across the organization, with an emphasis on financial data domains., • Demonstrate extensive experience with multiple MDM implementations, including platform selection, comparison, and optimization., • Architect and present end-to-end MDM architectures, ensuring scalability, data quality, and governance standards are met., • Evaluate various MDM platforms (e.g., Informatica, Reltio, Talend, IBM MDM, etc.) and provide objective recommendations aligned with business requirements., • Collaborate with business stakeholders to understand reference data sources and develop strategies for managing reference and master data effectively., • Implement data integration pipelines leveraging modern data engineering tools and practices., • Develop, automate, and maintain data workflows using Python, Airflow, or Astronomer., • Build and optimize data processing solutions using Kafka, Databricks, Snowflake, Azure Data Factory (ADF), and related technologies., • Design microservices, especially utilizing GraphQL, to enable flexible and scalable data services., • Ensure compliance with data governance, data privacy, and security standards., • Support CI/CD pipelines for continuous integration and deployment of data solutions. Requirements: • 12+ years of experience in data engineering, with a proven track record of MDM implementations, preferably in the financial services industry., • Extensive hands-on experience designing and deploying MDM solutions and comparing MDM platform options., • Strong functional knowledge of reference data sources and domain-specific data standards., • Expertise in Python, Pyspark, Kafka, microservices architecture (particularly GraphQL), Databricks, Snowflake, Azure Data Factory, SQL, and orchestration tools such as Airflow or Astronomer., • Familiarity with CI/CD practices, tools, and automation pipelines., • Ability to work collaboratively across teams to deliver complex data solutions., • Experience with financial systems (capital markets, credit risk, and regulatory compliance applications). Preferred, but not required: • Familiarity with financial data models and regulatory requirements., • Experience with Azure cloud platforms, • Knowledge of data governance, data quality frameworks, and metadata management. We offer: • A highly competitive compensation and benefits package., • A multinational organization with 60 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. S YNECHRON’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.

DESCRIPTION: QA Automation Solution Architect Job Responsibilities • Minimum 15+ years of experience in building automated solutions to cover UI frontend, middle tier, and backend interfaces and services, • Leads the design and implementation of enterprise test automation frameworks, methodology and tool integration for all teams, • Provides automation expertise, training and coaching to team members, • Determines range and depth of activities required for developing or customizing complex test automation frameworks, researching and onboarding automation tools for IT, • Deliver a robust automation framework built upon established and proven open source or commercial tools to support Agile/Scrum development, DevOps and CI/CD, • Design and architect modular and reusable automated testing solutions that satisfy client requirements, • Research, evaluation, and deployment of new test tools, • Trains teams to implement expanded automation coverage by adding automated environment validation, smoke and functional test scripts to CI/CD pipeline, • Identifies and directs the implementation of test automation related improvements that positively impact software delivery across the enterprise, • Be familiar with various automated tests tools for both front end and back end testing, • Ability to lead workshops, including the gathering/documenting of requirements and use-cases and recommendation of envisioned processes, • Ability to assess functional and technical gaps in designs, • Support continuous improvement processes, analyzing problems and recommending actions for effective resolution, • Ability to adapt to a fast paced continually changing business and work environment while managing multiple priorities, • Design, develop and maintain API automation frameworks supporting authentication, request/response validation, schema validation, and integration with UI automation., • Provide automation leadership, mentoring, technical guidance, and code reviews for automation engineers., • Effectively utilize AI-assisted development tools to accelerate automation development while ensuring generated code meets enterprise coding, quality, and security standards., • Promote automation best practices and continuous quality engineering across Agile development teams. Required Technical Skills • Playwright with TypeScript (Strong TypeScript coding experience), • BDD automation using Cucumber, • Strong experience with .NET Core / .NET Framework applications, • API automation using Rest Assured or RestSharp, • Mobile testing using Appium with cloud platforms such as Sauce Labs, Perfecto, or BrowserStack., • Exposure to Applitools, Jira integrations (AssertThat BDD, Zephyr, Xray), and Service Virtualization is a plus., • Strong software engineering background with 5–7 years of experience., • Strong proficiency in Python, with the ability to review, validate, debug, and optimize AI-generated code for enterprise use., • Experience leveraging AI-assisted development tools such as GitHub Copilot, Claude, Cursor, or equivalent platforms., • Expert AI/LLM framework LangChain/LangGraph, GCP/Azure, GraphDB/Vector Database, • Experience working with Spec-Driven Development methodologies., • Hands-on experience with APIs, microservices, and modern application architectures., • Professional Skills, • Strong problem-solving and analytical capabilities., • Customer-facing communication and consulting skills., • Ability to work independently in fast-paced environments., • Experience collaborating with cross-functional and distributed teams., • Strong ownership mindset with a focus on measurable business outcomes. Preferred Qualifications • Experience in Banking & Financial Services (BFS) domain., • Exposure to Agentic SDLC, Spec-Driven Development, or AI-assisted delivery models., • Understanding of cloud-native architectures and platform engineering.

Multi-Cloud Engineer Berkeley Heights, NJ (All 5 Days Onsite) Contract Job Description: We are looking for an experienced Multi-Cloud Engineer to design, implement, manage, and optimize secure, scalable, and highly available cloud infrastructure across multiple cloud platforms, including AWS, Microsoft Azure, and Google Cloud Platform (Google Cloud Platform). The ideal candidate will have strong expertise in cloud architecture, infrastructure automation, DevOps, containerization, cloud security, and regulatory compliance, with experience supporting financial services or FinTech applications. Key Responsibilities • Design, deploy, and maintain multi-cloud infrastructure across AWS, Azure, and/or Google Cloud Platform., • Develop and manage Infrastructure as Code (IaC) using Terraform, CloudFormation, or Azure Bicep., • Implement CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps., • Manage Kubernetes clusters, Docker containers, and cloud-native application deployments., • Implement cloud networking, including VPC/VNet, subnets, load balancers, VPNs, DNS, and firewalls., • Ensure high availability, disaster recovery, business continuity, and performance optimization., • Implement cloud security best practices, including IAM, encryption, secrets management, and network security., • Support FinTech workloads involving payment processing, banking platforms, financial transactions, and sensitive customer data., • Ensure adherence to applicable security and compliance requirements, and relevant financial-sector regulations., • Monitor infrastructure performance, availability, logs, and alerts using tools such as CloudWatch, Azure Monitor, Prometheus, and Grafana., • Optimize cloud costs and resource utilization across multiple cloud environments., • Collaborate with development, security, SRE, and application teams to resolve infrastructure issues and improve system reliability.

We are looking for an experienced Multi-Cloud Engineer to design, implement, manage, and optimize secure, scalable, and highly available cloud infrastructure across multiple cloud platforms, including AWS, Microsoft Azure, and Google Cloud Platform (Google Cloud Platform). The ideal candidate will have strong expertise in cloud architecture, infrastructure automation, DevOps, containerization, cloud security, and regulatory compliance, with experience supporting financial services or FinTech applications. Key Responsibilities • Design, deploy, and maintain multi-cloud infrastructure across AWS, Azure, and/or Google Cloud Platform., • Develop and manage Infrastructure as Code (IaC) using Terraform, CloudFormation, or Azure Bicep., • Implement CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps., • Manage Kubernetes clusters, Docker containers, and cloud-native application deployments., • Implement cloud networking, including VPC/VNet, subnets, load balancers, VPNs, DNS, and firewalls., • Ensure high availability, disaster recovery, business continuity, and performance optimization., • Implement cloud security best practices, including IAM, encryption, secrets management, and network security., • Support FinTech workloads involving payment processing, banking platforms, financial transactions, and sensitive customer data., • Ensure adherence to applicable security and compliance requirements, and relevant financial-sector regulations., • Monitor infrastructure performance, availability, logs, and alerts using tools such as CloudWatch, Azure Monitor, Prometheus, and Grafana., • Optimize cloud costs and resource utilization across multiple cloud environments., • Collaborate with development, security, SRE, and application teams to resolve infrastructure issues and improve system reliability.

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.

Forward Deployed Engineer (FDE) Berkeley Heights, NJ (5days Onsite) Experience: 5–7 Years Look for Agentic AI with CI/CD experience Role Overview Mphasis is seeking a highly motivated Forward Deployed Engineer (FDE) to bridge business challenges and technology solutions through AI-assisted engineering, automation, and modern software delivery practices. As an FDE, you will work directly with customers to translate business requirements into scalable technology solutions. You will leverage AI-native engineering approaches, Agentic SDLC practices, and automation frameworks to accelerate solution delivery while ensuring enterprise-grade quality and governance. Key Responsibilities • Work closely with customers and stakeholders to understand business problems and translate them into technology solutions., • Design, generate and validate AI-generated code and engineering artifacts, and drive deployment of enterprise-grade applications, integrations, and AI-powered solutions., • Apply prompt engineering, context engineering, and AI enablement techniques to improve solution outcomes., • Review and validate AI-generated artifacts including requirements, design documents, code, and technical specifications., • Review and validate AI-generated test designs, test cases, Playwright automation scripts, and quality engineering assets to ensure functional accuracy, adequate coverage, maintainability, and production readiness., • Ensure compliance with enterprise security, governance, DevSecOps, and quality standards., • Build and orchestrate agentic workflows, automation pipelines, and developer productivity solutions., • Develop solution prototypes, proof-of-concepts, and production-ready implementations., • Support customer engagements, workshops, demonstrations, and solution consulting activities. Required Skills Technical Skills • Strong software engineering background with 5–7 years of experience., • Strong proficiency in Python, with the ability to review, validate, debug, and optimize AI-generated code for enterprise use., • Experience leveraging AI-assisted development tools such as GitHub Copilot, Claude, Cursor, or equivalent platforms., • Experience working with Spec-Driven Development methodologies., • Hands-on experience with APIs, microservices, and modern application architectures., • Familiarity with CI/CD, DevSecOps, automated testing, and deployment pipelines., • Experience with test automation frameworks such as Playwright, Selenium, or equivalent. Professional Skills • Strong problem-solving and analytical capabilities., • Customer-facing communication and consulting skills., • Ability to work independently in fast-paced environments., • Experience collaborating with cross-functional and distributed teams., • Strong ownership mindset with a focus on measurable business outcomes. Preferred Qualifications • Experience in Banking & Financial Services (BFS) domain., • Exposure to Agentic SDLC, Spec-Driven Development, or AI-assisted delivery models. Understanding of cloud-native architectures and platform engineering.

Important Note : This job is not open to work on C2C Azure DevOps Engineer Location – Berkeley Heights, NJ (5 days onsite) Duration - 12 Month Contract-to-Hire Pay Rate - Up to $80/hour Openings – 2 Overview We are seeking experienced DevOps Engineers to join a growing cloud infrastructure team responsible for designing, automating, securing, and supporting enterprise-scale Azure environments. This is an excellent opportunity for a hands-on engineer who enjoys building cloud platforms, developing Infrastructure as Code solutions, and driving automation initiatives within a modern DevOps ecosystem. The ideal candidate will possess strong Azure expertise, extensive experience with Terraform and CI/CD pipelines, and a passion for cloud operations, security, and automation. Responsibilities • Develop and maintain CI/CD pipelines using Azure DevOps and GitLab, • Build, deploy, and manage Azure infrastructure using Terraform and Infrastructure as Code methodologies, • Design, implement, and support Azure Virtual Desktop (AVD) environments, • Automate infrastructure provisioning, patching, and operational processes, • Implement and maintain Zero Trust security principles, identity management, and encryption controls, • Configure and manage Azure monitoring solutions including Azure Monitor, Log Analytics, and Application Insights, • Build operational dashboards and alerting systems to improve visibility and reliability, • Support Azure IaaS and PaaS services across enterprise environments, • Identify and remediate security vulnerabilities across infrastructure and applications, • Collaborate closely with engineering, security, and operations teams within an Agile environment Required Qualifications • 5+ years of hands-on Azure experience, • Strong experience with Azure DevOps and GitLab CI/CD pipelines, • Hands-on Terraform experience for infrastructure provisioning and automation, • Experience supporting Azure monitoring and operational dashboards, • Expertise with Azure services including:, • Application Gateway, • API Management, • Azure App Service, • Azure Monitor, • Microsoft Sentinel, • Azure Storage, • Azure Front Door, • Azure DevOps, • Experience with Azure Virtual Desktop (AVD) - Very Important, • Strong understanding of Infrastructure as Code concepts, • Experience with Azure security best practices and Zero Trust architecture, • Linux administration experience, • Excellent communication and problem-solving skills Preferred Qualifications • Experience with WebLogic and Apache, • Experience configuring Microsoft Sentinel, • Knowledge of FedRAMP High, FISMA High, or Zero Trust frameworks, • Azure certifications such as AZ-104, AZ-204, or AZ-400, • Bachelor's or master’s degree in computer science, Information Technology, or related field Why Join? • Work with cutting-edge Azure cloud technologies, • Build enterprise-scale infrastructure automation solutions, • Influence cloud architecture and security initiatives, • Exposure to Microsoft Foundry and emerging AI technologies, • Strong opportunity for long-term conversion and career growth, • Highly visible role with meaningful ownership and impact Apply Today If you're an Azure-focused DevOps Engineer who enjoys automation, Infrastructure as Code, cloud security, and modern CI/CD practices, we'd love to speak with you. Submit your resume today to be considered for one of two immediate openings and gain access to a long-term, high-impact opportunity with strong growth potential.

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