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Job Description Stefanini Group is looking for a Program Manager - ITSM for a globally recognized company! For interested applicants, click the apply button or you may reach out to Micah Andres at (248) 386-7399/Micah.Andres@Stefanini.com for faster processing. Thank you! Requirement We are seeking a seasoned ITSM TAN Program Manager to lead program execution for the global rollout of the GITSM platform (ServiceNow) and to operationalize the ITSM TAN (CoE). This role will also support the operationalization of the Cloud CoE, helping drive adoption, standards, and governance defined by the Cloud CoE team. The role will have an approximate work split of 70% ITSM TAN / GITSM rollout and 30% Cloud CoE enablement, and will report directly to the Global ITSM Lead. Why This Role Exists: To ensure disciplined, end‑to‑end program execution of the global ServiceNow rollout across regions To stand up and operationalize the ITSM TAN (CoE), enabling governance, standards, reporting, and adoption To provide strong cross‑tower coordination across process, platform, SMO, and regional stakeholders To support Cloud CoE operational maturity, ensuring standards and governance are executed consistently KEY RESPONSIBILITIES GITSM Platform Rollout Program & Delivery Leadership: • Own end‑to‑end program management for the global ServiceNow (GITSM) rollout across phases (Design → Build → Deploy → Stabilize), • Drive timeline management, dependency tracking, milestone delivery, and issue resolution across regions, • Maintain program‑level artifacts including RAID logs, integrated plans, dashboards, and executive reporting ITSM TAN (CoE) Operationalization: Lead the setup and operationalization of the ITSM TAN (CoE), aligned to the approved charter and roadmap • Support definition and execution of:, • Governance structure & cadence, • Operating model and RACI, • Decision frameworks and intake processes Coordinate across Process Governance, Platform Governance, and Service Management Office (SMO) towers Stakeholder & Vendor Management: • Act as a single coordination point between Global ITSM leadership, regional ITSM leads, GCC teams, and implementation partners, • Support vendor governance, delivery tracking, and contractual milestone oversight during rollout phases, • Prepare and deliver executive‑level updates for Global IT leadership and steering forums Adoption, Readiness & Change Enablement: • Drive rollout readiness, regional onboarding, and adoption planning, • Coordinate training, communications, and transition activities in partnership with ITSM SMEs and change teams, • Ensure consistent process and platform adoption aligned with TAN standards REQUIRED SKILLS & EXPERIENCEExperience Requirements:10+ years of experience as a Project / Program Manager in enterprise IT environments including experience in leading projects via Agile frameworkProven ability to lead Agile programs, including sprint planning, backlog prioritization, release planning, dependency management, and continuous delivery.Demonstrated experience working with cross-functional Agile teams, Product Owners, Scrum Masters, technical teams, and business stakeholders to drive delivery outcomes.Strong understanding of Agile principles and practices, with experience applying Agile at scale across complex, multi-team or global initiatives.Experience driving Agile ways of working, including iterative delivery, continuous improvement, transparency, and effective management of risks, impediments, and dependencies.Experience working with system integrators / implementation partnersITSM & Platform KnowledgeStrong understanding of ITIL‑based ITSM processes (Incident, Change, Problem, Request, CMDB, Service Catalog, Knowledge) is preferredFamiliarity with ServiceNow modules such as ITSM, CMDB, ITOM, Service Catalog, Integrations, and Reporting is preferredExposure to ITSM CoE / TAN / governance models is a strong plusProgram & Leadership Skills Expert‑level capability in:Program planning & executionRisk & issue managementDependency managementExecutive and stakeholder communicationAbility to work effectively across global, distributed teamsStrong documentation and reporting discipline Soft SkillsExcellent communication, facilitation, and influencing skillsAbility to operate in a high‑ambiguity, transformation environmentStrong ownership mindset; comfortable driving outcomes without formal authority PREFERRED QUALIFICATIONSExperience in pharma, life sciences, or other regulated industriesExposure to Cloud CoE, Cloud Governance, or Cloud Transformation programsFamiliarity with Agile / hybrid delivery modelsITIL certification (Foundation or above) - preferred EDUCATION & CERTIFICATIONSEducationBachelor's degree in Engineering, Computer Science, or related fieldMaster's degree - preferred Certifications (Preferred)ITILPMP / PRINCE2 / equivalent Program Management certificationServiceNow exposure or implementation credentials (desirable) #LI-MA!#LI-HYBRID

We’re hiring AI & LLM Applications Scientists to help augment and accelerate ICR scientists’ workloads, improving both quality and productivity across the organization. The ideal candidate has a deep, practical understanding of modern AI and large language models, including how they work, what they can and cannot do, and how to most wisely integrate and deploy them in a fast-paced scientific environment. Our ideal candidate not only knows how to use AI and LLMs, but understands them at a fundamental level — their core principles, limitations, and what truly makes them work. The candidate will have a similarly deep, first‑principles grasp of deep learning, neural networks, machine learning, and modern software and computing, not just surface‑level familiarity. Their ability to clearly articulate the underlying ideas and “essence” of these systems to others will be a key indicator of this depth of understanding and will be vital to the success of this role within our company. In this position at ICR, you'll get to: • Partner with bench scientists, computational biologists, and data scientists to design and implement AI/LLM‑enabled workflows that streamline literature review, study design, data interpretation, and reporting., • Evaluate, prototype, and deploy AI tools (including frontier and open‑source models) to accelerate ICR’s research programs in regenerative and preventive medicine, with a focus on aging and age‑related diseases., • Work directly with individual scientists and teams to understand their pain points, then co‑create AI‑assisted solutions that measurably increase throughput and scientific rigor., • Design and deliver training sessions and small‑group workshops to raise AI literacy across all levels of ICR, from junior scientists to senior leadership., • Continuously monitor the AI landscape, benchmarking new models and tools, and advise leadership on build/buy/adopt decisions aligned with ICR’s mission and risk tolerance. Please apply if you have: • Extensive hands‑on experience with modern AI and LLMs (e.g., GPT‑class models, open‑source LLMs, multimodal models), including prompt engineering, evaluation, and workflow integration., • A strong technical foundation in computer science, machine learning, data science, or a closely related field; or equivalent experience applying AI in scientific or technical domains., • Demonstrated understanding of LLM capabilities and limitations, including hallucinations, bias, privacy and IP concerns, security, and appropriate mitigation strategies., • Experience partnering with non‑technical individuals to translate loosely defined scientific or organizational problems into concrete AI‑enabled solutions., • Experience designing or running experiments to evaluate AI tools including but not limited to A/B testing, human‑in‑the‑loop evaluation, metrics for quality, reliability, and productivity impact)., • Excellent communication skills and the ability to explain complex AI concepts clearly to audiences with a wide range of technical backgrounds., • A strong interest in regenerative medicine, aging biology, or age‑related diseases, and enthusiasm for using AI to advance ICR’s mission., • An understanding of basic machine learning paradigms and scoring rules., • Extensive programming experience (Python preferred). Ideally, you'll also have experience with: • Building lightweight internal tools or integrations (e.g., Python, JavaScript, REST APIs, LangChain, or similar frameworks) that connect LLMs to data sources and workflows., • Working with scientific or biomedical data (e.g., omics, imaging, clinical, or real‑world data) and understanding their common pitfalls and preprocessing requirements., • Using vector databases, retrieval‑augmented generation (RAG), or fine‑tuning approaches to adapt foundation models to domain‑specific use cases., • Building or curating evaluation datasets and annotation guidelines for scientific or technical AI applications. And you'll need: • Ability to work in the United States without sponsorship, • Comfort operating in a fast‑moving AI landscape, including the humility to say “I don’t know yet” and the discipline to test assumptions before broad deployment., • A can-do attitude and a friendly, easygoing personality If you don't combine your cover letter with your CV or resume when you apply through LinkedIn, after you apply please send your cover letter only to: apply@invitroresearch.com with "Cover [Your name]" as the Subject line. Position title and compensation are commensurate with experience. The compensation ranges listed below are starting ranges. Starting base salary range: $155,000/yr - $215,000/yr Starting bonus range: $10,000/yr - $20,000/yr

About Tokio Marine: Tokio Marine has been conducting business in the U.S. market for over a century and we are licensed in all states, Puerto Rico and the District of Columbia, and write all major lines of Commercial Property and Casualty Insurance. We provide unique insurance and risk management tools from our experienced staff of account executives, underwriters and loss prevention engineers and fair and timely claim settlement from a skilled team of claim professionals. We work with major brokers and leading independent insurance agents throughout the United States to serve the world's largest and most distinguished organizations. We are committed to creating value for our customers by providing ANSHIN (safety, security and peace of mind). We strive to be creative and passionate as we work towards our long-term success. Tokio Marine Holdings is Japan's oldest, and one of the largest property and casualty insurers. Founded in 1879, TMNF operates worldwide in 47 countries. With annual revenues of approximately $50 billion and an A.M. Best rating of A++, one of the highest in the industry, we are one of the top 20 insurance providers worldwide. Job Summary Provide professional Highly Protected Risk (HPR) loss control services to Tokio Marine clients and Tokio Marine Management, Inc. Coordinates and conducts loss control management evaluations, physical surveys, loss analysis, and training to assist Tokio Marine clients to improve and maintain loss control activities. Coordinates and conducts loss control management evaluations, physical surveys and loss analysis to assist Tokio Marine Management Underwriting in their evaluation of risk. Provide loss control technical support to Tokio Marine departments such as underwriting, claims and coordination. Coordinate loss control activities on select accounts ensuring service plans are maintained and completed, responding to customer requests and needs while also supporting underwriting and claims at renewal and throughout the policy period. Essential Job Functions • Performs loss control surveys of prospects and clients on request for underwriting information and evaluation from a loss control viewpoint for desirability., • Coordinates loss control service to select clients requiring defined service standards., • Prepares reports for clients, Underwriting and Branch concerning the loss control in effect, including accident analysis, conditions noted, recommendations for improvement and future needs., • Assists in the development and presentation of programs and training seminars for clients and other departments in the Company., • Responds to special requests from Underwriting Department and clients with prior approval from Loss Control Department Management., • Develops and maintains Loss Control instructions for multi-location clients being coordinated by Loss Control., • Completes all work scheduled in regular service assignments or requests in a timely manner., • Maintains membership and actively participates in professional organizations approved by departmental standards guidelines., • Utilizes PC programs (Accident Analysis, Presentation Software, etc.) in preparing presentations for prospects and clients., • Plans and performs work scheduling in a timely and cost effective manner., • Responsible for complying with proper internal controls as necessary to conduct job functions and/or carry out responsibilities and/or administrative activities at Company. Qualifications • Bachelor's Degree preferably in Engineering / Science or equivalent job experience., • Minimum five years experience servicing major accounts (multi-locations and $100,000 premium and up)., • Possesses a specialty in HPR loss control., • Good communication skills, both written and oral and capable of making presentation to a group., • Good computer skills to include the use of Microsoft software and ability to learn TMA internal programs and other software., • Valid driver's license free of violations., • Physically capable of performing the job requirements - walking, carrying and climbing., • Capable of occasional air/ vehicle travel to client sites, as required Salary range $160,000 to $175,000. Ultimate salary offered will be based on factors such as applicant experience and geographic location. Our company offers a competitive benefits package and bonus eligibility on top of base. TMA believes the perfect candidate is more than just a resume. If you don't meet every single requirement, but are still interested in the job, we encourage you to apply. Benefits: We offer a comprehensive benefit package, which includes a generous 401K match. Our rich history of outstanding results and growth allow us to focus our business plan on continued growth, new products, people development and internal career opportunities. EEO Statement Tokio Marine Management is an Equal Opportunity Employer. In order to remain competitive we must attract, develop, motivate, and retain the most qualified employees regardless of age, color, race, religion, gender, disability, national or ethnic origin, family circumstances, life experiences, marital status, military status, or sexual orientation.

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 16,700+, and has 57 offices in 22 countries within key global markets. Our challenge We are seeking a skilled AI/ML Developer with a strong background in advanced Python programming and expertise in various AI frameworks and models. The ideal candidate will have experience in prompt engineering, AI agentic frameworks, large language models (LLMs), retrieval-augmented generation (RAG), and vector databases. This role requires a combination of technical ability, creativity, and a passion for innovation in the AI domain. 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 Jersey City, NJ is $100k - $110k/year & benefits (see below). The Role Responsibilities: • Develop, test, and deploy advanced AI/ML models and algorithms using Python., • Design and implement prompt engineering techniques to optimize model responses and performance., • Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows., • Utilize AI agentic frameworks to create intelligent systems capable of autonomous decision-making., • Work with large language models (LLMs) to develop applications that understand and generate human-like text., • Implement retrieval-augmented generation (RAG) strategies to enhance the context and relevance of generated outputs., • Manage and optimize vector databases for efficient storage and retrieval of data used in AI applications., • Conduct research and stay up-to-date with the latest advancements in AI/ML technologies and methodologies., • Document processes, models, and methodologies for future reference and knowledge sharing. Requirements: • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field., • Proven experience in advanced Python programming, with a strong understanding of data structures and algorithms., • Demonstrated expertise in prompt engineering and its application within AI models., • Familiarity with AI agentic frameworks and their implementation in real-world applications., • Experience working with large language models (LLMs) and understanding their architecture and functionalities., • Knowledge of retrieval-augmented generation (RAG) techniques and vector databases., • Ability to work effectively in a collaborative environment and communicate complex concepts to non-technical stakeholders., • Strong analytical and problem-solving skills with a focus on delivering high-quality results. Preferred, but not required: • Experience with frameworks and libraries such as TensorFlow, PyTorch, or Hugging Face., • Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services., • Knowledge of data preprocessing and data engineering practices. We offer: • A highly competitive compensation and benefits package., • A multinational organization with 58 offices in 22 countries and the possibility to work abroad., • 10 days of paid annual leave (plus sick leave and national holidays)., • Maternity & paternity leave plans., • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)., • Retirement savings plans., • A higher education certification policy., • Commuter benefits (varies by region)., • Extensive training opportunities, focused on skills, substantive knowledge, and personal development., • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses., • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups., • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms., • A flat and approachable organization., • A truly diverse, fun-loving, and global work culture. SYNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Job Title: Data Quality & Responsible AI Governance Lead Location: Newark, NJ (Hybrid — 3 days/week onsite) Employment Type: Contract-to-Hire Pay Rate: $55–$62/hour, depending on experience About the Role A major financial services firm is seeking a Data Quality & Responsible AI Governance Lead for a long-term, contract-to-hire engagement based in Newark, NJ (3 days/week onsite). This role sits at the intersection of data management and governance, enterprise data quality assurance, Responsible AI operations, data architecture, and technology risk management. You will make quality and governance requirements executable within the flow of delivery by embedding controls into data sourcing, ADS and data product certification, metadata and lineage workflows, pipeline validation, AI lifecycle gates, monitoring, exception management, remediation, recertification, and evidence generation. You will help mature a control plane that provides visibility into AI data readiness, data quality health, control coverage, exceptions, incidents, remediation status, and audit-ready evidence. Key Responsibilities • Lead enterprise implementation of data quality and AI data readiness controls across authorized data sources, data products, semantic products, and AI use cases., • Define what "AI-ready data" means in practice, including quality thresholds, lineage completeness, metadata completeness, source authorization, classification, access controls, issue history, freshness, and remediation expectations., • Translate Responsible AI control requirements into measurable data control requirements embedded into pipelines, certification workflows, metadata platforms, dashboards, and evidence routines., • Partner with data architects, data engineering, platform, and domain teams to determine where controls belong across ingestion, transformation, publication, semantic access, AI consumption, and runtime monitoring., • Perform hands-on data modeling (conceptual, logical, physical, canonical, semantic) to support trusted data products, ADS certification, AI consumption patterns, and downstream DQ control design., • Define reusable DQ and RAI control patterns, rule templates, evidence payloads, and implementation guidance that domain teams can adopt consistently., • Guide domain teams on defining DQ rules, thresholds, exception management, remediation, and evidence without duplicating central governance processes., • Establish operating routines for profiling, rule execution, exception review, root-cause analysis, remediation tracking, retesting, recertification, and closure evidence., • Integrate data quality controls into AI lifecycle gates so AI products use fit-for-purpose, authorized, governed, and traceable data sources., • Define and maintain control libraries for data quality, AI data readiness, metadata, lineage, access, privacy, monitoring, certification, and lifecycle governance., • Drive automation that reduces manual governance burden while improving traceability, repeatability, and audit readiness., • Define monitoring thresholds, alerts, KRIs, KPIs, and reporting routines that give senior leaders visibility into data quality health, AI readiness, exceptions, and remediation progress., • Coordinate across business owners, product teams, architecture, security, privacy, legal, compliance, risk, model risk, and audit., • Maintain audit-ready documentation including control mappings, rule logic, test results, approvals, exceptions, incidents, and remediation evidence., • Lead playbooks, standards, and enablement materials that help teams adopt DQ and RAI control practices at scale. Required Skills and Experience • Strong experience in enterprise data quality, data governance, data management, data architecture, technology controls, or Responsible AI operations within a complex enterprise environment., • Strong understanding of enterprise data architecture, authorized data sources, data products, data contracts, metadata, lineage, semantic layers, access controls, and governed lakehouse/cloud data platform patterns., • Hands-on experience designing/reviewing conceptual, logical, physical, canonical, dimensional, domain, and semantic data models., • Hands-on knowledge of data quality frameworks: rule design, profiling, thresholds, observability, reconciliation, anomaly detection, issue management, remediation, and scorecards., • Ability to connect data quality outcomes to Responsible AI needs: traceability, suitability, representativeness, bias/proxy-risk, privacy, monitoring, and lifecycle governance., • Experience embedding controls into pipelines, workflows, platforms, certification routines, metadata systems, or CI/CD., • Familiarity with AI/ML, generative AI, agentic AI, model lifecycle management, model registries, evaluation workflows, and production release controls., • Ability to translate policy and regulatory expectations into practical requirements, acceptance criteria, and evidence expectations., • Experience partnering with risk, compliance, legal, privacy, information security, model risk, and internal audit., • Excellent written and verbal communication skills for executives, practitioners, and control partners., • Strong execution and leadership skills: backlog management, stakeholder alignment, operating model design, and delivery against milestones. Preferred Qualifications • Experience in a regulated industry (financial services, insurance, healthcare, or similar)., • Experience with Data Quality, Responsible AI, AI governance, model risk, technology risk, or operational risk frameworks., • Working knowledge of DQ/observability tools, metadata/catalog platforms, lineage tooling, cloud platforms, and reporting tools., • Experience designing DQ rule libraries, control catalogs, evidence schemas, certification criteria, or automated control testing., • Experience defining operating models, RACI, decision rights, and executive reporting routines., • Technical fluency with SQL, Python, APIs, YAML/JSON, rules engines, and test automation strongly preferred., • Bachelor's degree in computer science, data science, engineering, information systems, risk management, or a related field; advanced degree or certifications preferred.

ONSITE INTERVIEW NEXT WEEK IN JERSEY CITY, NJ. NO EXCEPTIONS FOR VIRTUAL!!* DO NOT APPLY IF YOU CANNOT GO ONSITE FOR INTERVIEW Key Responsibilities • Design, build, and maintain scalable, modular dbt models and transformation pipelines using DBT Core., • Understand DBT Architecture thoroughly and experience in writing Python operators in DBT flow. Strong experience in writing Jinja code, macros, seeds etc., • Design and develop data warehouses using Snowflake., • Build and maintain ETL/ELT pipelines to load data from multiple sources., • Optimize Snowflake performance (Clustering, Warehouses, Query tuning)., • Implement data security (roles, access control, masking), • Knowledge of data modeling techniques like data vault and dimensional modeling (Kimball/Inmon)., • Automate workflows using data orchestration tools (Apache Airflow or Snowflake Tasks), • Collaborate with full-stack developers and UI/UX engineers to support application features that rely on transformed datasets., • Work closely with analysts and stakeholders to gather data requirements and translate them into reliable data models., • Enforce data quality through rigorous testing, documentation, and version control in dbt., • Participate in Agile ceremonies (e.g., stand-ups, sprint planning) and manage tasks using Jira., • Integrate dbt into CI/CD pipelines and support automated deployment practices., • Monitor data performance and pipeline reliability, and proactively resolve issues. Mandatory Qualifications & Skills • 3–5+ years of experience in data engineering or analytics engineering, with a focus on SQL-based data transformation., • Hands-on production experience using dbt core or dbt cloud as a primary development tool., • Strong command of SQL and solid understanding of data modeling best practices (e.g., star/snowflake schema)., • Proven experience with Snowflake as a cloud data warehouse., • Python skills for data pipeline integration or ingestion., • Familiarity with Git-based version control workflows., • Strong communication and collaboration skills, with the ability to work across engineering and business teams., • Experience working in Agile/Scrum environments and managing work using Jira., • Nice-to-Have Skills Exposure to CI/CD pipelines and integrating dbt into automated workflows., • Experience with cloud platforms such as AWS., • Understanding of how data is consumed in downstream analytics tools (e.g., Sigma, Qlik, Power BI)., • Familiarity with Docker and container-based development. Education & Experience • Bachelor’s degree in computer science, Data Engineering, or related field., • A track record of building and maintaining scalable dbt projects in a production setting with Snowflake and Airflow., • Experience working in cross-functional teams involving developers, analysts, and product managers., • A strong sense of ownership, documentation habits, and attention to data quality and performance.

Lead Data Scientist Location: Hybrid — Newark, NJ (3 days/week onsite) Employment Type: Contract-to-Hire Pay Rate: $70-$85 per hour, based on experience. No C2C/1099. W2 only. About the Role • Join a leading investment firm as a Lead Data Scientist, partnering with Machine Learning Engineers, Data Engineers, Data Analysts, and cross-functional teams to build AI and Machine Learning products, • Implement Machine Learning, AI, and agentic capabilities that deliver stability, scalability, and integration across products and services, • Solve sophisticated business problems and deploy innovative products and experiences What You'll Do • Provide deep technical leadership across a portfolio of high-impact data science initiatives, • Identify optimal data, models, and training/testing techniques for successful product delivery, • Manage team members across data analysis, model development (traditional ML and statistical models), GenAI and agent development, testing, training, and tuning, • Write production-grade code and partner with ML engineers to push models into production, including traditional ML, statistical models, GenAI, and agentic solutions, • Work hands-on with Agentic AI systems, fine-tuning techniques (e.g., LoRA), LLM deployment, RAG, Agentic RAG, Strands, Claude Agents SDK, and related agentic concepts, • Communicate model design and development clearly to technical and non-technical audiences, • Leverage CI/CD best practices, including test automation and monitoring, for ML model and application deployment, • Stay current on emerging technologies and embed learning/innovation into the team's daily work, • Program primarily in Python and SQL What You Bring • Advanced degree (Master's or Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial Science, Data Science, or a related quantitative field, • Experience leading a small team with minimal guidance, • Demonstrated ability to mentor team members and manage operations based on project and resourcing needs, • Ability to influence business stakeholders and drive adoption of AI/ML solutions, • Experience with Agile methodologies and Test-Driven Development (TDD), • Strong business acumen to support sound, context-driven decision-making, • Excellent problem-solving, communication, and collaboration skills, • Experience with cloud-based AI platforms such as Bedrock and SageMaker Preferred Technical Expertise (several of the following) • Data acquisition and transformation using APIs, semantic data models, SQL, and Python, • Database management across relational (SQL), unstructured (NoSQL), and graph/ontology (Graph DB) systems, • Data analysis using visualization, manipulation, and statistical methods to identify trends and anomalies, • Strong foundation in multivariable calculus, linear algebra, differential equations, applied probability, and applied statistics, • Deep understanding of machine learning theory, including supervised and unsupervised models, • Experience with Generative AI and NLP, including RAG, LangChain, LangGraph, vector databases, LangFuse, and AgentCore, • Understanding of the model deployment lifecycle, A/B testing, CI/CD pipelines, and frameworks such as AWS SageMaker and Azure Agentic AI tools

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

Senior Machine Learning Engineer (Generative AI) Location: Hybrid – Newark, NJ Employment Type: Right to Hire (Contract-to-Hire) Pay Rate: $70–$85/hr Position Overview We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. In the rapidly evolving world of Generative AI (GenAI), this role demands not only traditional machine learning expertise but also a deep understanding of GenAI-specific challenges. The ideal candidate will be a pivotal bridge between the theoretical capabilities of GenAI models and their practical application in production environments, ensuring our GenAI solutions are innovative, reliable, scalable, secure, and cost-effective. This is a right-to-hire position requiring permanent U.S. work authorization Sponsorship is not available. Recent MS or PhD graduates are encouraged to apply. Key Responsibilities • Deploy, monitor, and maintain GenAI models in production, ensuring reliable performance in real-world settings, • Build and maintain efficient data pipelines and storage solutions that support model operations, • Utilize cloud platforms (AWS, Azure, GCP) for model deployment, containerization (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform/CloudFormation), • Develop CI/CD pipelines, manage version control (Git), and automate deployment processes, • Implement secure coding practices, authentication, authorization, and robust monitoring and alerting for infrastructure and model performance, • Apply deep expertise in LLMs, GenAI architectures, frameworks like Hugging Face, prompt engineering, and specialized GenAI infrastructure, • Apply advanced techniques such as Retrieval-Augmented Generation (RAG), hallucination monitoring, and human-in-the-loop systems, • Design and develop agent and multi-agent systems using frameworks like LangChain, enabling interaction with external APIs and tools, • Implement strategies to manage and reduce operational costs associated with GenAI deployments Qualifications • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field; Master's degree preferred, • 5+ years of experience as a machine learning engineer deploying models in production, • Strong proficiency in Python and software engineering principles, • Solid understanding of machine learning fundamentals and model lifecycle management, • Experience with cloud platforms, containerization, and infrastructure management, • Familiarity with DevOps practices and automation tools, • Expertise in GenAI frameworks, prompt engineering, and model serving, • Ability to manage GPU/TPU resources and optimize model serving frameworks, • Experience developing agentic systems and multi-agent architectures, • Proven track record of cost optimization in AI deployments, • Comfortable working in a fast-paced environment as an independent contributor

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

The Software Architect will be responsible for investigating, designing and implementing technical solutions, and working with the lean/agile teams implementing them. These activities include, but are not limited to documenting Domain Models, writing and maintaining API schemas and documentation, contributing to the ADLC and software development processes, and working hands on to the coding of production code, automation, and supporting tools using the MERN stack, DSQL and GraphQL. Responsibilities: • Lead discussions between domain experts to extract the necessary information to develop an accurate model., • Quickly grasp new domains and translate them into scalable, cacheable, performant and secure solution design, • Hands on maintain and contribute to the codebase (This is a hands own role with 50-50 architecture/code split), • Create and maintain Domain Models as part of the Architecture/Development team · Create and maintain API and Solution documentation, • Work as part of fast paced innovation/development teams to document technical decisions evolve them during discovery and implementation Qualifications: • Four-year college degree in Computer Science or Engineering or related discipline preferred. Equivalent experience accepted., • TDD experience a must. We automate all quality gates, and we do true CD, so candidate must be a big TDD evangelist., • Strong problem solving, analytical skills and interpersonal skills., • Strong project and time management skills including multi-tasking in fast-paced development environments., • ADLC experience, • Proficiency translating complex solutions into UML diagrams on Enterprise Architect, Mural, or Similar tools, • Experience with at least one of the following programming languages: NodeJS, Java. · Experience with tools such as Jenkins and Docker, • Have designed APIs used to integrate two isolated systems with independent domains. · Experience as an API or backend developer., • Experience in SOX compliant systems, E-Commerce, and/or Cybersecurity a big plus.

Contract Totowa, NJ (Shifting Schedule) Job Description: You’ll join a collaborative, dynamic, and innovative team that provides 24x7x365 coverage for Client’s technology environment. You’ll work closely with teams across Engineering, including application developers, systems engineers, Incident Management, and Site Reliability Engineers. You’ll play an important role in incident response and in the design, implementation, automation, and support of operational procedures across the platforms that make up Bloomberg’s computing environment. You’ll also have opportunities to contribute to projects that improve reliability, reduce operational toil, modernize tooling, and evolve the processes used by Triage Operations. Responsibilities: • Improve operational efficiency by identifying opportunities for automation, standardization, and process improvement, • Use strong technical, troubleshooting, multitasking, and interpersonal skills to help drive incidents through investigation and resolution, • Proactively investigate issues using logs, metrics, dashboards, dependency information, and other available telemetry, • Work effectively both independently and collaboratively in a fast-paced environment, • Develop, maintain, and improve runbooks, procedures, and other technical documentation, • Identify recurring operational problems and work with Engineering and SRE teams to drive long-term improvements, • Stay current with evolving technologies and identify tools and strategies that can improve automation, troubleshooting, and operational efficiency, • Learn and adopt new workflows and technologies as the Triage Operations Engineer role continues to evolve, • Communicate clearly during incidents, providing useful technical findings and status to partner teams Requirements: • 2+ years of relevant experience in computer operations, production support, systems administration, SRE, or a related technical field, • Experience working with Unix/Linux environments, including RHEL, Ubuntu, or similar distributions, • An understanding of datacenter infrastructure, distributed systems, and data communications, • A degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience, • Experience using AI productivity and agentic tools such as Claude, ChatGPT, or Copilot, • Experience with orchestration and configuration-management technologies such as Salt or Ansible, with Salt experience preferred, • Strong written and verbal communication, interpersonal, and customer-service skills, • Working knowledge of Jira and software development lifecycle (SDLC) concepts, • Experience performing and automating day-to-day systems administration tasks, • Scripting or programming experience using Shell, Python, or similar languages, • Experience using observability, log-analysis, metrics, and visualization platforms such as Grafana or Humio (CrowdStrike Falcon LogScale), • Familiarity with development, automation, and management tools such as GitHub, Artifactory, Chef, Ruby, or similar technologies, • An interest in using automation and AI to reduce operational toil and improve incident response

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.

MakeOurHome is an early-stage technology company building a mobile platform in the home space. As a small and growing team, we move quickly, work collaboratively, and expect team members to be comfortable wearing multiple hats. We are looking for a highly organized, tech-savvy and proactive Operations & Technology Intern to work closely with our Founder & CEO and broader team. This is a unique hybrid role combining executive support, startup operations and hands-on technology/product work. It is ideal for an early-career professional with a Computer Science, Information Technology or similar background who is organized, technically capable and interested in gaining exposure to both the business and technology sides of building a startup. The position will begin as a 90-day contract-to-hire role, with the opportunity to transition into a permanent position based on performance and company needs. Responsibilities Product & Technology Support • Support the development, testing and maintenance of MakeOurHome's mobile application, • Assist with mobile application features, enhancements and bug fixes, • Participate in application testing, debugging and quality assurance, • Assist with API integrations and backend services, • Work with AWS cloud services and cloud-based development environments, • Use Git and GitHub for version control and team collaboration, • Participate in code reviews and technical discussions, • Document technical work, issues and solutions, • Help coordinate priorities and communication between technical team members, contractors and leadership, • Assist with product releases, feature tracking and technical project management Startup Operations • Help establish and maintain internal processes as the company grows, • Coordinate across product, technology, operations and outside partners, • Help manage projects and ensure tasks are completed on schedule, • Assist with various company initiatives and operational needs, • Help with light office management for our small Jersey City office, • Coordinate supplies, deliveries, building management and service providers as needed, • Identify problems, research solutions and take initiative to get things done Administrative Support • Manage the executive team’s calendar, meetings, scheduling and day-to-day priorities, • Handle correspondence, follow-ups and general administrative tasks, • Coordinate with team members, vendors, contractors and outside partners, • Track projects, deadlines, action items and deliverables, • Organize company documents, agreements, files and records, • Prepare documents, spreadsheets, presentations and meeting materials, • Assist with hiring, onboarding and HR-related administrative tasks, • Conduct research on vendors, tools, services and other business needs, • Follow up with internal and external stakeholders to keep projects moving What We're Looking For • Bachelor's degree in Computer Science, Information Technology, Software Engineering or a similar field, • Coursework, projects or experience involving mobile application development, • Familiarity with technologies such as React Native, Flutter, Swift, Kotlin, Android or iOS, • Knowledge of one or more programming languages such as JavaScript/TypeScript, Java, Python or C++, • Familiarity with AWS or other cloud technologies, • Basic understanding of REST APIs, databases and Git/GitHub, • Strong proficiency with Google Workspace, including Gmail, Calendar, Docs, Sheets and Drive, • Excellent organizational and multitasking skills, • Strong written and verbal communication, • Strong attention to detail and follow-through, • Resourceful, proactive and comfortable figuring things out independently, • Comfortable working directly with a Founder/CEO, • Comfortable switching between technical, administrative and operational responsibilities, • Ability to handle confidential information professionally and with discretion, • Comfortable working in a fast-moving startup environment Ideal Candiate • You may be a strong fit if you're early in your career and don't want to be limited to one function., • You might spend part of your day helping test a new mobile feature or working with the development team, another part coordinating an important project, and another helping the Founder prepare for a meeting or making sure an operational issue gets resolved., • We are looking for someone who is technically capable, extremely organized, curious and willing to take ownership., • Because we're a small team, there will be significant exposure to how an early-stage technology company is built—from product development and engineering to hiring, operations and executive decision-making. Because we're a small team, there will be significant exposure to how an early-stage technology company is built—from product development and engineering to hiring, operations and executive decision-making. As the company grows, this role can evolve based on the individual's strengths, performance and interests. Ability to Commute: Jersey City, NJ 07302 (Required) Work Location: In person

Join the Playbook team as an iOS & Android Developer with React Native expertise and help us craft an exceptional user experience for our sports and academic communities. You’ll own the development of our core mobile applications, drive integrations with third-party tools, and collaborate with product, design, and marketing to deliver scalable technical solutions that fuel our growth. Responsibilities • Build and launch our iOS & Android apps from day one., • Collaborate with the development team to design and implement new features., • Work within a GitHub-based rapid deployment environment., • Partner with design and engineering to refine and perfect the product experience., • Own projects end-to-end, from design through implementation and deployment. Skills & Qualifications • Required:, • Mastery of React Native, • Strong experience working with REST APIs, • Solid engineering fundamentals and computer science background, • Strong understanding of database schemas and queries, • Proven ability to build delightful, high-quality user experiences while balancing speed and iteration, • Ability to collaborate cross-functionally with growth, product, and design teams, • Nice to Have:, • Experience with Python, • Strong business instincts and product fundamentals Our Vision & Culture Playbook is building the Shopify-equivalent for sports and experience businesses—an all-in-one software solution for leagues, facilities, tournaments, and organizations across the sports and experience industry. • We release software updates monthly to consistently deliver a better product for our partners and clients., • We believe in a work-hard, play-hard culture: every team member has the opportunity to earn stock options (4-year vesting)., • You’ll join a highly talented, goal-driven team that celebrates successes and learns from setbacks as we scale toward national recognition in sports and tech., • We’re committed to professional growth, providing accelerated development opportunities while maintaining a healthy work-life balance. Position Details • Full-time role, • Location: Hoboken, NJ, • Stock option eligibility

The Impact you will have in this role: Being a member of IT Cybersecurity & Platform Engineering team, the Associate Director, AI Security & Data Protection Engineering serves as a technical leader responsible for designing, implementing, and scaling DTCC's data protection capabilities across AI platforms, GenAI services, agentic workflows, cloud environments, and enterprise collaboration channels. The role combines deep expertise in data protection, security architecture, AI risk management, and engineering leadership to ensure sensitive information is appropriately governed throughout the AI lifecycle. The successful candidate will partner closely with Cybersecurity, Enterprise Architecture, Cloud Engineering, Data Management, and Application Development teams to define and implement technical controls that enable AI adoption while protecting DTCC's most sensitive information. This position will lead the design and implementation of controls including AI-aware DLP, automated classification and labeling, AI security guardrails, DSPM integrations, data access governance, prompt and response protections, model interaction controls, and secure AI development practices. The ideal candidate combines hands-on technical expertise with the ability to influence enterprise strategy, drive complex initiatives, and provide technical leadership across multiple security and engineering teams. Your Primary Responsibilities: • AI Security Architecture & Technical Leadership, • Data Protection Engineering, • AI Security Controls & Governance, • Platform Integration & Engineering Delivery, • AI Threat Analysis, Detection & Continuous Improvement, • Program Leadership & Stakeholder Engagement NOTE: The Primary Responsibilities of this role are not limited to the details above.* Qualifications: • Bachelor's Degree in Computer Science, Information Security, Engineering, or related discipline, or equivalent experience., • Minimum 8 years of experience in cybersecurity, data protection, information security, or security engineering., • Minimum 3 years leading complex technical initiatives or security programs., • Experience delivering security solutions within financial services or another highly regulated industry preferred Talents Needed for Success: Required • Deep understanding of Data Protection technologies, controls and governance frameworks, • Strong understanding of AI, GenAI, LLMs, AI agents, and associated security risks., • Experience designing and implementing enterprise-scale security solutions., • Strong knowledge of:, • Data security and Data Governance, • Cloud security, • Encryption and key management, • Secure software development practices, • AI Security, • Experience leading technical implementations across multiple engineering., • Strong analytical, communication, and stakeholder management skills., • Financial Services or highly regulated industry experience., • Experience translating complex technical requirements into scalable enterprise solutions Preferred • Experience securing Generative AI platforms and AI-enabled applications., • Experience with RAG architectures, vector databases, AI gateways, and AI security controls., • Familiarity with emerging AI security frameworks and industry standards., • Experience establishing security guardrails for enterprise AI adoption., • Relevant certifications such as CISSP, CCSP, Azure Security Engineer, Microsoft Security, or equivalent credential The salary range is indicative for roles at the same level within DTCC across all US locations. Actual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About the Company We are seeking a highly skilled Desktop Engineer to join our global End User Computing team. This individual will be responsible for engineering, deploying, automating, and supporting the modern Windows desktop environment across the enterprise. The role requires deep technical expertise, strong problem-solving abilities, and the ability to operate effectively within a fast-paced, global environment. Responsibilities Windows Engineering & Endpoint Platform • Engineer, maintain, and optimize a global Windows 11 desktop environment, ensuring stability, performance, and security., • Own OS image engineering, lifecycle management, configuration baselines, and feature update strategies., • Lead complex troubleshooting efforts using logs, diagnostics, and telemetry. Modern Device Management • Design, implement, and manage Microsoft Intune for configuration, policy enforcement, compliance, application packaging, and advanced device management., • Lead Windows Autopilot deployments, provisioning workflows, and zero-touch onboarding processes., • Integrate Intune with Azure AD, security baselines, conditional access, and compliance frameworks. MECM (Microsoft Endpoint Configuration Manager) • Drive all aspects of MECM administration and engineering, including:, • Task sequence creation and optimization (OSD, refresh, break/fix workflows), • Patch management and compliance reporting, • Infrastructure health and performance tuning, • Implement and automate MECM-related processes to reduce operational overhead. Automation & PowerShell Development • Design and maintain advanced PowerShell automation for:, • Automation, • Configuration enforcement, • Remediation scripts, • User provisioning, • Data transformation and reporting, • Develop reusable automation modules that support engineering and operational workflows. Monitoring & Digital Experience (Nexthink – Nice to Have) • Use Nexthink (or similar DEX tools) to monitor endpoint performance, identify trends, and proactively improve user experience., • Develop custom remote actions, dashboards, and investigations (if Nexthink is available). Operational Excellence • Provide 3rd-line engineering support for escalated desktop issues, including collaboration with security, networking, server engineering, and service desk teams., • Participate in an on-call rotation and support planned weekend engineering activity for global deployments., • Maintain detailed documentation, runbooks, and architecture diagrams., • Contribute to strategic projects such as hardware refresh, OS migrations, security initiatives, and global transformation programmes. Qualifications • Bachelor's degree in Computer Science, Information Technology, or equivalent professional experience., • 5+ years of experience in desktop engineering or endpoint platform engineering within an enterprise environment., • Prior experience in a global or highly regulated industry is a strong plus. Required Skills • Extensive hands-on experience with Windows 11 OS, including registry, file systems, event logs, troubleshooting techniques, and performance tuning., • Deep knowledge of Intune, Autopilot, and Azure AD device management., • Strong engineering-level experience with MECM, including deployments, task sequences, and compliance., • Advanced PowerShell developer, capable of writing clean, modular, production-ready automation., • Experience with enterprise patching, software distribution, and GPO/modern policy management. Preferred Skills • Experience with Nexthink (dashboards, investigations, RA scripting)., • Knowledge of Active Directory, Group Policy, conditional access, and security baselines., • Understanding of end-user hardware (laptops, workstations, peripherals) and driver/firmware lifecycle management., • Familiarity with virtualization (VDI), remote access technologies, and ITIL processes., • Seniority Level, • Mid-Senior level, • Employment Type

Duration: 8 Months Contract with a possible extension Type: 3 days/week onsite (hybrid) Location: Rutherford, NJ Pay Range : 85-90/hr. on W2 Qualifications: • Bachelor’s degree in computer science, Data Science, Engineering, or related field, • 8 years of experience developing backend systems and services using Python, • Strong proficiency in Python and related libraries (e.g., NumPy, Pandas), • Experience building REST APIs and working in microservices or service-oriented architectures, • Experience with data processing, ETL pipelines, or data engineering concepts, • Familiarity with LLMs and GenAI technologies, • Understanding of distributed systems and backend integration patterns, • Ability to work independently and collaboratively in a global team

Our company delivers value-added logistics solutions on a global scale through customized approaches that meet our clients’ evolving needs. As we continue to expand our digital capabilities and safeguard our systems, we are currently seeking a highly motivated and experienced system specialist to join our IT team. The IT Systems Analyst will support and maintain Warehouse Management System (WMS), Transportation Management System (TMS), and related logistics systems (including Last Mile Delivery (LMD) system across warehouse and distribution operations. This role is responsible for system operation support, issue analysis, user communication, and coordination with external vendors to ensure stable system performance and business continuity. Roles & Responsibilities 1. System Operation & Support Monitor and support WMS, TMS, and logistics operation systems Analyze user requests and provide initial responses Analyze system errors and identify root causes Respond to critical failures and collaborate with vendors 1. Incident & Change Management Manage system failure tickets and track resolution status Support testing and validation activities, including User Acceptance Testing (UAT) for new logic/features. Conduct impact analysis and communicate with users during system changes 1. Business Process Support Understand warehouse operation processes (Inbound, Outbound, Inventory Control, etc.) Support TMS-related dispatch/transportation processes Compile and document requests for process improvements 1. Documentation Create and update system manuals Prepare incident reports and system improvement documentation Manage documentation for standardized operational processes Requirements & Qualifications • Fluency in Korean and English (written and verbal) preferred, • Bachelor's degree or higher (IT, Computer Science, Industrial Engineering, Logistics-related majors preferred), • 2-5 years of experience operating WMS or TMS or other logistics systems, • Understanding of logistics/warehouse operations systems, • User communication skills, • Experience analyzing system data using SQL is a plus, • Strong sense of ownership and accountability This position is not eligible for employer-sponsored work authorization now or in the future. Applicants must be legally authorized to work in the United States without employer sponsorship.

Job Summary The SAP S/4HANA AI Solution Architect will be responsible for defining and executing the AI strategy for our SAP S/4HANA modernization project. This role requires a blend of SAP functional knowledge, AI expertise and business acumen to identify high impact use cases, develop compelling business cases, create a transformation roadmap, and implement effective AI solutions. The ideal candidate will bridge the gap between business needs and technical execution, ensure the seamless integration of AI tools like SAP Joule, Microsoft 365 Copilot and ChatGPT Enterprise. This position reports to the SAP Modernization Solution Architect Manager. Job Responsibilities • Partner and collaborate with all stakeholders to understand and translate goals and objectives into architecture, roadmaps and capability models. Reconcile different perspectives and drive toward consensus., • Look across applications, infrastructure, technology components and data to when developing roadmaps and capability models that outline how technology solutions are and will be structured., • Create and maintain reusable artifacts and patterns. Harvest artifacts across initiatives to extend the library of reusable artifacts and patterns or to enhance the existing reusable artifacts., • Develop policies, standards, guidelines, procedures and metrics that measure architectural quality and business outcomes., • Engage with implementation teams to encourage and promote use of existing models, methods, services and other artifacts and capabilities resulting in increased speed of technology solution delivery, making such delivery more predictable and increasing the overall re-use of technology components., • Research architectural paradigms and modern architecture constructs. Learns how processes such as continuous delivery or technologies such as micro services impact technology architecture., • Ensure compatibility with existing solutions infrastructure, services and strategic requirements., • Act as a bridge among various parties during implementation of architecture components and their integration., • Communicate the objectives and business outcomes of the technology architecture and the associated use cases in which the organization will derive the most value., • Provide support and leadership to inform and aid evaluation and decision making in technology spending., • Participate in the ecosystem strategy development, including environmental analysis, opportunity identification, value cases and business innovation portfolio development. Job Specific Qualifications • Bachelor’s degree in Engineering, Computer Science, Mathematics, Information Technology, Computer Engineering or Information Sciences preferred, or related field., • 8-10 years of work experience in technology solution engineering. 12+ years of work experience in technology solution engineering without a degree., • Deep understanding of SAP S/4HANA architecture and functionality, SAP Business Technology Platform (BTP), and AI/ML concepts., • Hands-on expertise or strong familiarity with SAP Joule, Microsoft 365 Copilot, and their integration capabilities., • Strong analytical and problem-solving skills, with the ability to interpret complex data and translate insights into actionable strategies., • Excellent leadership, communication, and presentation skills, with the ability to engage confidently with senior leadership and diverse teams., • Experience translating business outcomes, business requirements and technical requirements into technical designs for new technology solutions or enhancements to existing technology solutions, while following architectural standards and organizational policies., • Demonstrated ability to work independently and multi-task effectively with strong analytical ability, problem solving skills, and attention to details., • Department of Energy’s regulation 10 CFR 810 is required. Desired • Relevant certifications (PMP, SAP-specific, AI/ML credentials) are a plus., • Experience in project management or a leadership role within large-scale SAP implementation or modernization projects, • Experience working with Service Now application., • Knowledge of business ecosystems, SaaS, Infrastructure as a Service (Iaas), Platform as a Service (Paas), SOA, APIs, open data, microservices, event-driven IT and predictive analysis., • Exposure to Cybersecurity concepts and best practices.

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 17,000+, and has 58 offices in 22 countries within key global markets. Role Summary We are seeking a talented UI React Developer with strong front-end development expertise and working knowledge of either .NET or Java technologies. The ideal candidate will be responsible for developing responsive web applications, collaborating with backend teams, and delivering high-quality user experiences in an Agile environment. Key Responsibilities • Design, develop, and maintain responsive web applications using React.js., • Build reusable UI components and optimize applications for maximum performance., • Integrate front-end applications with RESTful APIs developed in Java or .NET., • Collaborate with UX/UI designers, backend developers, and business stakeholders., • Write clean, maintainable, and scalable code following best practices., • Participate in code reviews, testing, debugging, and production support activities., • Ensure cross-browser compatibility and responsive design standards., • Work in Agile/Scrum teams to deliver high-quality solutions. Required Skills • Strong experience in React.js, JavaScript (ES6+), TypeScript, HTML5, and CSS3., • Experience with state management libraries such as Redux or Context API., • Knowledge of REST APIs and API integration., • Hands-on experience with either:, • Java (Spring Boot, Microservices) OR, • .NET/Core .NET, ASP.NET MVC/Web API, • Familiarity with Git, CI/CD pipelines, and Agile methodologies., • Understanding of responsive design and modern front-end frameworks. Preferred Skills • Experience with Azure or AWS cloud platforms., • Exposure to Microservices architecture., • Knowledge of testing frameworks such as Jest, Cypress, or Selenium., • Banking or Financial Services domain experience is a plus. Qualifications • Bachelor's degree in Computer Science, Engineering, or related field., • 5+ years of software development experience with a strong focus on React UI development. Skill Distribution: • React/UI Development: 70%, • .NET or Java Development: 30% 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.

Job Description \n \n \nYou don't see it, but it's there. Our employees work on the world's most advanced electronics from saving emissions in the City of Lights to powering the Mars Rover to protecting the F- 35 fighter jet. At Electronic Systems, you'll be among the brightest minds, working on the aerospace and defense industry's most difficult problems. Drawing strength from our differences, we're innovating for the future. And you can, too. Our flexible work environment provides you with a chance to change the world without giving up your personal life. We put our customers first - exemplified by our missions: "We Protect Those Who Protect Us®" and "We Innovate For Those Who Move The WorldTM." Sound like a team you want to be a part of? Come build your career with BAE Systems.\n \n \nBAE Systems is looking for a Test Solutions Engineering Lead to join our Systems Engineering Department in Totowa, NJ.\n \n \nThis position requires relevant leadership experience to support teams that develop complete test solutions to support semi-automated product testing throughout the product lifecycle, to include Development Design Verification Testing, Production In-Process Testing/Acceptance Test Testing/Environmental Stress Screening, and Sustainment Fault Detection/Fault Isolation Testing to support repair of faulty products returned from the field. Test solutions include test stands, test interface hardware and test software that automates/semi-automates the test environment for complex electronics. \n \n \nThis Test Solutions Engineering Lead must be a motivated team-oriented individual with strong problem-solving abilities and people skills that support collaboration across multiple disciplines within the business. Other responsibilities of this role include assisting with project planning and execution, and management / development of the assigned workforce. The applicant must have successfully demonstrated project and personnel leadership skills in prior assignments.\n \n Required Education, Experience, & Skills \n \n\n • Bachelor's Degree (or equivalent experience in a relevant field) with a minimum work experience of:\n \n, • 10+ Years with BS\n, • 8+ Years with MS\n, • 6+ Year with PHD\n \n, • Ability to lead engineering teams in a production test environment.\n, • Working knowledge of the product development life-cycle, Design For Manufacturability, Design for Test, Design for Sustainability, and Test Equipment\n, • Possess an Active US Government security clearance\n, • Experience leading development of Electronic Warfare, RADAR, Communications, and/or Missile systems Experience with EW and/or Radar and Missile Systems\n\n Preferred Education, Experience, & Skills \n \n\n • Ability to lead Test Engineers while successfully collaborating with other managers or engineers from other disciplines\n, • People skills that support collaboration across multiple channels, a good listener, promotes solutions versus problems\n, • Motivated, team-oriented individual with strong problem-solving abilities\n, • Ability to estimate cost & schedules and manage projects\n, • Active DoD clearance\n, • Computer Science, Systems Engineering, Electrical or Mechanical Engineering degree\n#ECSSE\n \n Pay Information\n \nFull-Time Salary Range: $145049 - $246584\n \n \nPlease note: This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience. \n \n \nEmployee Benefits: At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20+ hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance. Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.\n \n About BAE Systems Electronic Systems \n \nBAE Systems, Inc. is a defense, aerospace, and security company headquartered in Falls Church, Virginia, with more than 40,000 employees worldwide. We serve, supply, and protect those who protect us. As one of the most geographically diverse international defense companies, we deliver a full range of products and services spanning air, land, maritime, space, and cyber, including advanced electronics, intelligence solutions, and dedicated customer support.\n \n \nOur culture is performance-driven and values-led, built on curiosity, creativity, and collaboration. Purpose isn't a tagline here. It's what drives us. We're developing breakthrough technologies that defend national security and make a lasting impact on our communities and our planet. When you join BAE Systems, you're not just building a career. You're contributing to a mission that truly matters.\n \n \nThis position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

Company Description Polytope Research is a trading and software firm that leverages quantitative methodologies and cutting-edge technology to access and optimize performance in global financial markets. With a commitment to innovation and efficiency, the firm integrates data-driven strategies with advanced tools to deliver superior trading solutions. Known for its collaborative environment and focus on research excellence, Polytope Research fosters a culture of intellectual rigor and continuous growth. Join us to contribute to impactful projects in a fast-paced and dynamic industry. Role Description This is a full-time, on-site role for a Production Trader located in Jersey City, NJ. You will supervise the automated trading systems and respond to market and system events in real time. The role includes analyzing market conditions, collaborating with the Portfolio Manager to enhance trading performance, and maintaining a thorough understanding of trading platforms and tools. You will also play an integral role in maintaining operational risk standards and compliance. We're looking for someone bright, curious, and hungry. A strong technical foundation matters, but so does the drive to learn the business from the ground up. This seat is designed as an entry point: candidates who demonstrate strong judgment and technical aptitude will have a clear path to grow into more senior trading, research, or strategy development roles. Responsibilities • Working closely with the trading team to operate and implement trading strategies, • Launching, supervising, and shutting down Polytope's trading activities on global markets, • Triaging real-time alerts and coordinating with the trading and engineering teams to resolve production issues, • Coordinating with risk, operations, and compliance to assess live trading and respond to unusual market behavior, • Flagging real-time alerts and working with the trading to team to resolve issues in real time, • Documenting, monitoring procedures, and logging production issues as they occur Requirements • Bachelor's degree or higher in a quantitative field (computer science, mathematics, physics, engineering, or similar), • Working knowledge of one or more of the following asset classes: digital assets, equities, futures, options, FX, • Experience with trading systems, execution workflows, and risk monitoring, • Familiarity with high-frequency trading concepts and the operational demands of low-latency systems, • Strong problem-solving skills with the ability to act decisively under pressure, • Clear written and verbal communication, with a collaborative approach to working alongside trading and technology teams, • High attention to detail and a commitment to accuracy, • Able to work on flexible hours and provide weekend and public holiday coverage on a rotation basis, • Familiarity with UNIX, python, and SQL (C++ is a plus, but not required), • Prior experience in algorithmic trading or execution trading is a plus Compensation and Benefits • Competitive base salary, calibrated to experience, • Discretionary annual bonus tied to firm and individual performance, • Health, dental, and vision insurance, • Retirement plan with employer contribution

Job Title: Technical Project Manager – GenAI & Data Delivery - Property & Casualty (P&C) Insurance Domain Work Mode: Jersey City, NJ Duration: 6+ Months Contract Job Description: We are seeking a seasoned Technical Project Manager to lead multi-team initiatives focused on Generative AI (GenAI) and advanced data solutions. The ideal candidate will have strong experience managing complex, AI-powered and data-driven projects, and will be responsible for driving delivery across multiple workstreams, ensuring alignment with business objectives, and managing stakeholder expectations. Key Responsibilities: Project Planning & Execution Develop and manage comprehensive project plans for GenAI and data-driven initiatives. Coordinate cross-functional teams including data engineering, ML/AI engineers, data scientists, and business stakeholders. Ensure timely delivery of project milestones, including model development, deployment, and integration. GenAI & Use Case Delivery Drive end-to-end delivery of Generative AI use cases (e.g., LLM-powered applications, document intelligence, chatbots, summarization tools). Collaborate with technical teams on model selection, fine-tuning, prompt engineering, and evaluation frameworks. Ensure alignment between GenAI solutions and business value realization. Requirement & Stream Management Gather, track, and manage requirements across multiple AI/data workstreams. Translate business needs into actionable technical requirements for AI/ML teams. Ensure traceability from requirements to deployment and business outcomes. Stakeholder Engagement & Reporting Report directly to leadership (e.g., Data/AI Lead or Program Head) with regular updates. Act as the primary liaison between business teams, AI/ML teams, and external vendors/partners. Communicate project status, risks, dependencies, and AI-specific considerations (e.g., model performance, data readiness). RAID & Risk Management Maintain and manage RAID (Risks, Assumptions, Issues, Dependencies) logs. Identify and mitigate risks related to AI model performance, data quality, compliance, and ethical AI usage. Track budgets, forecast costs (including cloud/compute usage), and optimize resource allocation. Governance & Compliance Ensure adherence to responsible AI practices, data privacy regulations, and model governance standards. Support implementation of AI lifecycle management (MLOps/LLMOps) frameworks. Qualifications: Experience 7+ years of project management experience, with exposure to AI/ML or data-driven initiatives. Proven experience managing GenAI, machine learning, or advanced analytics projects. Experience in industries such as insurance, financial services, or healthcare is a plus. Skills Strong understanding of Generative AI concepts (LLMs, prompt engineering, embeddings, RAG, fine-tuning). Hands-on or working knowledge of leading GenAI platforms and tools such as: Anthropic (Claude) OpenAI (GPT models) Google (Gemini / Vertex AI) Microsoft (Azure OpenAI Service, Copilot) Amazon Web Services (Bedrock) Familiarity with AI/ML development lifecycle, APIs, and cloud AI platforms. Proficiency in project management methodologies (Agile, Waterfall, or hybrid). Hands-on experience with tools like Jira, MS Project, Rally, or similar. Excellent communication, stakeholder management, and problem-solving skills. Education Bachelor’s degree in computer science, Engineering, or a related field. Certifications (Preferred) PMP or equivalent project management certification. Certifications in AI/ML, Cloud (AWS, Azure, GCP), or Data Engineering are a plus

Location: Newark ,NJ (Hybrid-3 days in a week) Role- Fulltime Experience level- 12+ years Mandatory - Team management : 5 to15+ AI engineers and data scientists Skill required - Open source AI,Open-weight model , LoRA or QLoRA, Python, NIST AI Risk Management Framework, ISO/IEC 42001, and the EU AI Act’s risk tiers ,Databricks or Snowflake, Kubernetes ,generative and agentic production work , Why this role exists Most enterprise AI never leaves the pilot. Roughly 80% of initiatives fail to deliver their promised value, and only about one in seven organizations has scaled an agentic system to real operational use. The failure is almost never the model. It is curated pilot data that does not survive production, an integration layer underestimated by an order of magnitude, and evaluation infrastructure that was never built. We close that gap inside our clients’ environments at a cost per unit of output that stays defensible as volume grows. That last part is why this is not a frontier-API orchestration job: the economics only work when someone can fine-tune and serve open-weight models where they beat a hosted call. This is the most consequential technical hire on our team. What you will own • Architecture authority and final escalation. Set the reference architecture for AI systems we deploy into client environments — model selection and routing, retrieval design, tool exposure, orchestration, guardrails, observability, and evaluation. Be the last stop on hard architecture, performance, and deployment calls., • Production, not proofs of concept. Own the standards that get prototypes to production: design and code reviews, automated testing, quality gates, release-readiness checks, and integration with clients’ real systems of record and identity., • Open-weight model engineering and unit economics. We price per unit of output, which makes cost per inference a margin decision. Own what to fine-tune, on what base, with what data, and how to serve it — and the discipline of proving the tuned model beats the frontier baseline it replaces. Then routing, caching, quantization, batching, and distillation on top., • Team capability and reusable IP. Lead 30+ engineers and data scientists across concurrent client implementations, and build the reference architectures and accelerators that make the second implementation cost materially less than the first. Success is a team that solves hard problems without you., • Commercial partnership. Work with sales and consulting on client workshops, proposals, effort and cost estimation, and technical due diligence — assessing feasibility honestly, including when the answer is no. What we are screening for • Evidence of production, at scale. You have designed and shipped AI systems that ran in production against real enterprise data and real users, and can walk through the trade-offs that kept them working. Pilots and demos do not count., • Fine-tuning open-weight models for production. You have taken an open-weight model, curated the training data, chosen a full fine-tune against LoRA or QLoRA deliberately, evaluated it against the frontier baseline, and served it under real load. Candidates whose entire experience is calling hosted frontier APIs are not a fit for this role., • Cost and performance engineering. You have measurably reduced the running cost or latency of an AI system and can describe how, with numbers — quantization, distillation, routing, caching, or serving changes., • Evaluation as infrastructure. You treat evals as a first-class engineering concern — offline suites, regression gates in CI, online monitoring, and human review. If observability is where you stop, this role is not a fit., • Data readiness and governance. You can look at an enterprise’s data estate and say whether it supports the proposed system before the build starts. You have working command of the NIST AI Risk Management Framework, ISO/IEC 42001, and the EU AI Act’s risk tiers — and, for financial services, model risk management practice as it now stretches to generative and agentic systems., • Hands-on depth and team leadership. You still write and review code. Python assumes, plus distributed systems, APIs, containers and Kubernetes, CI/CD, GPU serving, one major cloud, and platforms such as Databricks or Snowflake. You have made senior engineers better and can point to people who outgrew needing you. Baseline: • 12+ years across software engineering, architecture, data platforms, and AI/ML, including time in a startup or product company — we need engineering velocity, not only enterprise processes. Degree in Computer Science, Engineering, or a related technical field., • No certifications required, • preferred — we are interested in what you have shipped. What this role is NOT We have received strong candidates for adjacent roles who are not right for this one. To be explicit: Not this role Why • Frontier-API integrator - If every system you built was a prompt and a hosted API call, you have not done the engineering this role requires., • Data architect - Warehouse, lake house, and pipeline design is a prerequisite here, not the job, • Cloud / platform architect - Cloud-native infrastructure depth without model-level engineering is not a fit, • ML engineer, classical only- Predictive-modelling depth without generative and agentic production work is insufficient, • Delivery or engineering manager - If you have stopped writing and reviewing code, this is the wrong role regardless of seniority

oXya is an independent provider of cloud and managed services, specializing in SAP technical services and cloud solutions. We support midsize and global enterprises in increasing the efficiency, stability, and flexibility of their mission-critical IT systems. Our dedicated teams of experts operate as an extension of our clients’ IT organizations, delivering hands-on technical expertise and long-term partnership. As an independent advisor, we help clients select the most appropriate technical solutions for their business needs — and manage those solutions end-to-end. oXya runs SAP and related systems across a variety of environments, including private cloud, AWS, Microsoft Azure, and Google Cloud, ensuring secure, reliable, and high-performing operations. About the Role As part of our continued growth, we are expanding our capabilities in SAP data modernization and multi-cloud integration. We are looking for an SAP Data Integration Engineer to design, build, and support reliable data integration solutions between SAP systems and modern cloud data platforms. This role sits at the intersection of SAP technology, enterprise data engineering, and cloud architecture. The successful candidate will help clients unlock SAP data for analytics, BI, AI/ML, reporting, and operational use cases while ensuring secure, scalable, and well-governed data flows. KEY RESPONSIBILITIES SAP Data Integration • Design, build, and operate data pipelines connecting SAP systems with cloud and enterprise data platforms., • Work with SAP integration and replication technologies such as SAP SLT, SAP Datasphere, SAP CPI / Integration Suite, SAP BTP connectivity services, and related SAP data tools., • Analyze SAP source systems, including ECC, S/4HANA, BW, ODP, CDS views, ABAP tables, and core business data structures., • Implement secure connectivity patterns using tools and approaches such as SAP Cloud Connector, Private Link, VPN, and cloud-native networking., • Monitor, troubleshoot, and optimize end-to-end data flows across SAP, cloud, and BI/analytics layers. Enterprise Data Engineering • Design, develop, and optimize data models and pipelines on modern cloud data platforms such as BigQuery, Snowflake, Azure Synapse, Amazon Redshift, or equivalent technologies., • Use modern data engineering tools and frameworks such as dbt, Dataform, Airflow, Azure Data Factory, AWS Glue, Fivetran, Kafka, or similar platforms where appropriate., • Apply best practices for performance, cost optimization, reliability, automation, and maintainability., • Support CI/CD and version control practices for data pipelines and integration artifacts. PROJECT/CHANGE MANAGEMENT Architecture, Governance, and Documentation • Contribute to integration architecture across SAP and non-SAP systems, including batch, CDC, streaming, API-based, and event-driven integration patterns., • Define practical ingestion, transformation, and replication strategies aligned with client requirements and operational constraints., • Document technical designs, data flows, lineage, operational procedures, and support handover materials., • Promote sound data governance, data quality, security, and compliance practices when handling client data. Delivery • Support planning, technical decision-making, risk identification, and delivery execution in project-based and managed services environments., • Take ownership of technical topics from design through support, with attention to supportability and operational readiness. COMMUNICATION/PRESENCE • Work closely with SAP Basis, functional teams, cloud architects, BI teams, security teams, project managers, and client stakeholders, including distributed teams., • Operate effectively in client-facing environments, translating business requirements into practical technical solutions., • Serve as a trusted technical advisor to clients, helping stakeholders understand SAP data structures, integration options, governance considerations, and modernization roadmaps., • Actively contribute to pre-sales, solutioning, and client workshops by helping define integration architectures, estimate delivery effort, identify risks, and present technical recommendations to clients and prospects., • Support workshops, solution reviews, technical handovers, and knowledge-sharing sessions., • Mentor and guide team members on SAP data integration, cloud data engineering, and modern integration patterns, strengthening internal expertise and delivery consistency across projects. REQUIRED SKILLS AND TECHNICAL EXPERIENCE • Hands-on experience with at least one SAP data integration or replication technology, such as SAP SLT, SAP Datasphere, SAP CPI / Integration Suite, SAP Data Intelligence, or equivalent SAP integration tooling., • Strong understanding of SAP source systems and data structures, especially ECC and/or S/4HANA., • Strong SQL skills and practical experience with at least one modern cloud data platform, such as BigQuery, Snowflake, Azure Synapse, Amazon Redshift, or equivalent., • Experience designing, building, supporting, or troubleshooting data pipelines in enterprise environments., • Understanding of APIs, REST/SOAP services, event-based integration, message queues, or enterprise integration patterns., • Understanding of governance, security, lineage, and compliance considerations for enterprise data., • Ability to document technical solutions clearly and communicate effectively with both technical and business stakeholders., • Strong analytical mindset, problem-solving skills, ownership, and ability to work across multiple clients and priorities., • Curious, adaptable, and willing to learn across SAP, cloud, and data engineering technologies; structured and quality-focused, with strong attention to documentation. PREFERRED QUALIFICATIONS • 2–3 years of hands-on experience with cloud data engineering or modern data platform delivery., • Experience with orchestration, transformation, or ingestion tools such as Airflow, dbt, Dataform, Azure Data Factory, AWS Glue, Fivetran, Kafka, or similar technologies., • Knowledge of Python for data transformation, automation, scripting, or pipeline support., • Experience with SAP BTP, SAP Cloud Connector, hybrid connectivity, private networking, or cloud security patterns., • Familiarity with ODP, CDS views, ABAP debugging, and SAP functional data areas such as FI/CO, MM, or SD., • Experience in industries such as manufacturing, retail, financial services, or other SAP-intensive sectors., • Awareness of emerging SAP data modernization solutions, including SAP Business Data Cloud, SAP Datasphere evolution, and the SAP-Databricks partnership, with an interest in helping clients leverage these technologies for advanced analytics and AI initiatives., • SAP certification in SAP Datasphere, SAP Integration Suite, SAP BTP, or related SAP technology., • Cloud or data platform certification in GCP (Professional Data Engineer), Microsoft Azure (Azure Data Engineer Associate), AWS, Snowflake, Databricks, or equivalent. EDUCATION/EXPERIENCE REQUIREMENTS • Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Engineering, or a related field preferred. Equivalent professional experience in SAP, data integration, or cloud data engineering will also be considered., • 7+ years of experience in SAP technical, SAP integration, data integration, or enterprise data roles., • Proven experience delivering SAP-to-cloud or SAP-to-enterprise data integration solutions., • Practical experience supporting production-grade data pipelines, including monitoring, troubleshooting, and performance optimization., • Experience working in consulting, managed services, or complex multi-client enterprise environments is preferred. Why Join Us • Work on Mission-Critical SAP Environments: Gain hands-on experience with complex enterprise systems that support global business operations., • Bridge SAP and Modern Cloud Data Platforms: Help clients modernize how they access, move, govern, and use SAP data., • Collaborate with Experienced Experts: Work alongside skilled SAP, cloud, data, and infrastructure professionals who value knowledge sharing and continuous improvement., • Grow Your Career: Develop high-demand expertise across SAP integration, data engineering, cloud platforms, and enterprise architecture., • Shape Next-Generation SAP Data Platforms: Work with emerging technologies such as SAP Business Data Cloud, SAP Datasphere, cloud-native analytics platforms, and AI-ready data architectures. All qualified applicants will receive consideration for employment without regard to race, color, religion, place of origin, ethnic origin, national origin, ancestry, age, sex, sexual orientation, gender identity, transgender status, genetic information, mental or physical disability, marital status, pregnancy, veteran status, or any other characteristic protected by applicable national, state, or local law.

We are seeking experienced Technical Project Manager in our Technology Department. These individuals will play a critical role in driving the successful execution of IT and software delivery initiatives, ensuring alignment with business objectives and timelines. They will collaborate with engineering, product, business stakeholders, and leadership to deliver scalable, high-impact technology solutions. Will Be Responsible For: • Lead the end-to-end delivery of technology initiatives—from intake and planning through execution, deployment, and post-launch support—ensuring on-time, on-budget outcomes., • Own assigned projects end-to-end, taking accountability for scope, schedule, and outcomes, and making timely decisions on trade-offs, priorities, and resourcing to keep delivery on track., • Translate complex business needs into detailed project plans, work breakdown structures, and delivery roadmaps aligned to product and organizational priorities., • Drive Agile and hybrid delivery ceremonies, including sprint planning, backlog grooming, stand-ups, and retrospectives, to keep teams aligned and milestones on track., • Manage budgets, schedules, and resource allocation across concurrent initiatives, proactively flagging scope, cost, or timeline risks to leadership., • Maintain accurate project status, risk, and financial data in Smartsheet or equivalent PPM tools to support portfolio-level reporting and governance., • Collaborate across cross-functional teams—engineering, QA, infrastructure, DevOps, security, and vendors—to deliver integrated, high-quality solutions., • Serve as the primary liaison between technical teams and business stakeholders, communicating status, risks, and decisions clearly and proactively., • Identify, track, and mitigate delivery risks and issues, ensuring adherence to compliance, security, and quality standards., • Prepare clear, executive-ready status updates, dashboards, and materials for leadership and steering committee reviews., • Manage vendor and contract resource performance to ensure deliverables meet scope, schedule, and quality commitments., • Act as an advocate for the PMO across the organization, championing consistent project management practices, standards, and governance across teams and business units., • Continuously refine delivery frameworks, tools, and workflows—including AI-enabled solutions—to improve consistency and outcomes across the PM team. Qualifications • Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field (Advanced degree a plus). Required Skills • 10–15 years experience in project/delivery management, with a proven ability to manage complex, cross-functional technology projects. Preferred Skills • Strong understanding of Agile, Scrum, Waterfall, and hybrid models., • Proficiency in tools like JIRA, Confluence, Git, Smartsheets, AI (ChatGPT, Claude, CoPilot)., • Experience with ERP, CRM, Data Analytics, SaaS, and cloud technologies (Azure, AWS)., • Strong communication, stakeholder management, and analytical skills., • PMP, PMI-ACP, CSM, or related certifications preferred. Pay range and compensation package • Compensation will be offered in line with current market standards and will be commensurate with the candidate's qualifications, skills, and relevant experience. Equal Opportunity Statement Aptimized is an Equal Opportunity Employer committed to fostering a diverse, equitable, and inclusive workplace. We make all employment decisions based on merit, qualifications, skills, experience, and business needs, without discrimination based on race, religion, gender, age, disability, sexual orientation, or any other characteristic protected by applicable law.

Immediate need for a talented Lead Machine Learning Engineer. This is a 06+months contract opportunity with long-term potential and is located in Newark, NJ(Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID: 26-26966 Pay Range: $60/hr - $62/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: • Design, develop, and deploy ML models and Agentic AI solutions., • Build scalable cloud-based ML applications and data pipelines., • Develop and optimize MLOps processes, CI/CD pipelines, and model deployment frameworks., • Monitor model performance, governance, observability, and reliability., • Lead technical problem-solving and mentor engineering team members., • Develop applications using Python, C++, SQL, and modern AI frameworks. Key Requirements and Technology Experience: • Key skills; Traditional Machine Learning & Agentic AI, Expertise in MLOps, Model Deployment, and Cloud Engineering, Software Engineering & System Design, • Strong experience in Traditional Machine Learning and Agentic AI., • Expertise in MLOps, Model Deployment, and Cloud Engineering., • Solid background in Software Engineering and System Design., • Hands-on experience with TensorFlow, PyTorch, Scikit-learn, Spark/PySpark, and REST APIs., • Experience with CI/CD tools such as GitHub Actions, Jenkins, or Cloud Bees., • Strong understanding of data engineering, distributed systems, and AI lifecycle management., • Bachelor's degree in Computer Science, Engineering, or a related field., • Excellent problem-solving, communication, and collaboration skills., • Experience working in Agile development environments., • Total Experience- 14 years of experience, • Candidate should be within 40 miles of given work location. Our client is a leading IT Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy _.

The Business Analyst is responsible for supporting, enhancing, and optimizing Microsoft Dynamics 365 Finance and Operations across the Cinch / Bel Fuse multi-site, multi-division environment. This role serves as the bridge between business stakeholders and technical teams — both onshore and offshore — translating business requirements into functional solutions across the order-to-cash and procure-to-pay lifecycles. Working as a functional generalist, the Business Analyst will facilitate requirements gathering with business users, coordinate configuration and development with the Dynamics team, support testing and user adoption, and drive accountability across all project phases. Are You Looking To: • Serve as the primary liaison between business departments and Microsoft Dynamics 365 Finance and Operations, ensuring system capabilities align with business objectives., • Utilize 2+ years of hands-on experience within the Microsoft Dynamics 365 ecosystem to support, enhance, and optimize ERP operations, ideally within a manufacturing environment., • Configure and personalize Dynamics 365 Finance and Operations, and leverage the Power Platform (Power Apps, Power Automate) where appropriate, to streamline workflows, improve data visualization, and enhance user experience., • Manage reporting tasks within Dynamics 365, including standard and ad-hoc reports, financial reporting (Management Reporter), and Power BI dashboards, to deliver actionable insights to the business., • Oversee Electronic Data Interchange (EDI) processes, with emphasis on managing and troubleshooting transaction sets like 810 (Invoice), 850 (Purchase Order), and 855 (Order Acknowledgment). Are You Ready To: • Build and maintain form personalizations, workflows, and configurations within Dynamics 365 Finance and Operations, ensuring alignment with business requirements and system standards., • Monitor business systems to assure maximum up-time., • Participate in ERP projects, including new module rollouts, implementations, and platform updates, and ensure thorough testing and user adoption during major upgrades and monthly release cycles., • Collaborate with the offshore India team to manage development projects, coordinate testing efforts, and support system enhancements., • Facilitate user acceptance testing (UAT) with business stakeholders, ensuring new implementations or upgrades meet functional and technical requirements., • Document processes, configurations, and best practices to build knowledge resources for ongoing system support and future enhancements., • Assume other projects and responsibilities from time to time as directed., • Regular and predictable attendance is presumed to be an essential function of all employment., • Establish and maintain a positive working relationship within assigned teams and with all applicable departments, customers, and vendors. Seek mutual agreement on problems involving coordination. What You’ll Need: • Bachelor's Degree (Business Management, Engineering, Accounting, Computer Science, Manufacturing Systems, etc.), advanced degree desired., • Minimum 2+ years’ experience working within the Microsoft Dynamics 365 ecosystem, with broader business systems or ERP experience preferred., • Prior work experience in a manufacturing environment required., • Must be a US Citizen or Permanent Resident. What You’ll Get: • Compensation range of $85,000 to $120,000. The compensation offered will take into account internal equity and may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors, • Participation in the annual bonus program, • 401K and company match, • Medical, Dental, Vision, • Health Savings Account (HSA), • Flexible Spending Account (FSA), • Company Life Insurance, • Short & Long-term disability, • Paid Time Off (e.g., Vacation Benefits, Company Holidays, Sick Leave Benefits, Personal Days), • Pet Insurance, • Tuition Reimbursement To review a full listing of our benefits, please refer to the and , or by visiting the _ page. Work Opportunity Bel will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire. Equal Opportunity Employer Bel is an Equal Opportunity employer.

Lead AWS Data Engineer Contract Opportunity with a Major Investment Firm Location: Newark, NJ (Hybrid - 3 Days/Week Onsite) Duration: Long-Term Contract Pay Rate: Open Employment Type: W2 or Corp-to-Corp Candidates: Local Candidates Preferred We are seeking an experienced Lead AWS Data Engineer to join a growing Data Engineering team within a leading investment management organization. This is a hands-on technical leadership role responsible for designing and delivering enterprise-scale AWS data solutions while mentoring engineers and driving cloud engineering best practices. The ideal candidate will have extensive experience building modern data platforms on AWS, leading engineering teams, and delivering scalable, high-performance data solutions that support enterprise analytics and business initiatives. What You'll Do • Lead the design, development, and optimization of enterprise-scale data pipelines and cloud data architectures, • Architect end-to-end AWS data solutions, including data ingestion, storage, transformation, and analytics, • Design and implement scalable data lakes and cloud data warehouse solutions, • Lead the migration of legacy data platforms to AWS-based environments, • Mentor, coach, and provide technical leadership to a team of Data Engineers, • Conduct code reviews and establish engineering best practices, • Collaborate with Data Scientists, Business Analysts, Product Owners, and business stakeholders to translate business requirements into scalable technical solutions, • Develop and maintain robust ETL/ELT processes and enterprise data pipelines, • Establish standards for data quality, governance, security, and compliance, • Drive adoption of DevOps, CI/CD pipelines, and Infrastructure-as-Code practices, • Optimize cloud solutions for scalability, reliability, security, and cost efficiency, • Research emerging AWS technologies and evaluate new tools and frameworks, • Troubleshoot complex production issues and provide technical leadership during resolution Required Qualifications • Bachelor's or Master's degree in Computer Science, Engineering, or a related field, • 7+ years of experience in Data Engineering, • At least 3 years of experience serving as a Lead Data Engineer or Technical Lead, • Strong programming experience with Python and SQL, • Experience with Shell scripting (Scala experience is a plus), • Strong experience designing and implementing enterprise data lakes, data warehouses, and cloud-based data platforms, • Experience building scalable ETL/ELT pipelines and modern data ingestion frameworks, • Strong understanding of data modeling and big data technologies, • Experience mentoring engineers and leading technical initiatives, • Experience implementing CI/CD pipelines and DevOps best practices, • Hands-on experience with Infrastructure-as-Code tools such as CloudFormation and Terraform, • Excellent communication, leadership, analytical, and problem-solving skills Preferred Qualifications • AWS Solutions Architect or AWS Data Engineer Certification, • Experience with real-time streaming technologies such as Amazon Kinesis or Kafka, • Knowledge of enterprise data governance, compliance, and cloud security best practices, • Experience with Lakehouse architecture and modern cloud data platforms, • Experience working within large enterprise or financial services environments If you're a hands-on AWS Data Engineering leader looking to architect enterprise-scale cloud data platforms while mentoring engineering teams, we'd love to hear from you. Apply today with your updated resume.

Jr Unix/ Linux Engineer- ONSITE role Exp- 2+ years LOCAL CANDIDATES REQUIRED * Location: Totowa, NJ /Orangeburg, NY/ Dayton, NJ( Candidates should be flexible to work at either of these locations depending on the client's need on all shifts depending on the business need) Duration: 12 Months contract W2- Need candidates authorized to work for any employer, cannot sponsor You’ll need to have: Flexibility on work location and the ability to work out of Middlesex county, NJ or Orangeburg, NY or Totowa, NJ on all shifts depending on the business need Availability to work varying coverage hours including weekends and nights What’s in it for you: You’ll be part of a highly creative, dynamic, and innovative team environment that provides 24x7x365 coverage within our data centers. You’ll work closely with various groups including system administration, application development, and SRE teams. You will be integral to the design, implementation, and support of operational procedures on different hardware Platforms that make up the client Computer environment. You’ll have the opportunity to be involved in special projects such as designing, testing, and implementing processes that the operations staff handles. We’ll trust you to: Improve operational efficiency by championing standardization and innovation Utilize good technical, multitasking and interpersonal skills to help drive outages to resolution Be ambitious, able to work independently & in a team environment under deadlines Be process-oriented and help develop runbooks and other technical documentation Stay up to date with new technologies, identifying those technologies/strategies that can help the company's automation efforts We’d love to see: 2+ years of: computer operations background, understanding of data centers, and data communications and experience working with Unix/Linux (RHEL/Ubuntu, etc.) A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience Experience working with Salt or Ansible for orchestration (preferably Salt) Excellent written and verbal communications interpersonal and customer service skills Working knowledge of: Jira concepts and SDLC framework Experience providing and automating day to day systems administration duties; Shell (Bourne), Perl, or Python scripting abilities Experience with open-source metric analytics & visualization tools (such as Grafana, Splunk, and Humio) and multiple open-source automation and management tool-set knowledge (includes: Chef, Ruby, GitHub, Salt, Artifactory, etc., to name a few)

Senior Full Stack Software Engineer (Java / React) Position Details • Type: Contract to Hire, • Industry: Leading Financial Firm, • Location: Hybrid in Newark, NJ, • Pay Rate: $65 - $70 per hour on W2, • No C2C What You Will Do • Build applications using modern design patterns, architectural principles, and current industry coding standards, • Develop high-quality, well-documented, and efficient code, • Collaborate with product owners to define feature stories and with tech leads on technical design, • Write unit tests, integration tests, and functional automation, • Research and resolve issues identified by QA or product support, • Coach team members and bring input on relevant and emerging technologies, • Solve complex problems that require evaluating intangible variables, • Work with Python, Java, JavaScript, React, and Spring Boot Required Qualifications • Bachelor's degree in Computer Science, Engineering, or related experience, • 6+ years of hands-on experience building enterprise-grade applications with modern Java and JavaScript ecosystems, • Strong UI expertise building modern applications with React and JavaScript, • Financial or Insurance industry experience, • Experience with agentic frameworks and AI-driven development tools (Claude Code, GitHub Copilot, etc.), • Experience with Agile methodologies and Test-Driven Development (TDD), • Excellent problem-solving, communication, and collaboration skills Technical Skills (Advanced Experience in Several) • Languages: Java, Python, JavaScript, TypeScript; OOP, design patterns, distributed systems, • Java Services: Spring, Maven, Microservices, multi-threading, concurrency, parallel processing, • Frameworks: React, Spring Boot, Flask, Django, Node.js, • Data Stores: PL/SQL, DB2, Oracle, Postgres, Redshift, NoSQL, • Data Streaming: SQS, Kinesis, AWS MSK, EventBridge, • APIs: REST, SOAP, JSON, XML, JDBC, SOA patterns, • API Management: Kong, Apigee, • Security: Secure coding, DevSecOps, JWT, SSL, SAML 2.0, OpenID Connect, OAuth 2.0, • DevOps: GitHub, Bitbucket, Subversion, Jenkins, • AWS: Core services across compute, storage, database, IAM, and analytics, • Testing: Unit, interface, end-user, and automated testing, • Accessibility awareness, monitoring, and logging Preferred Qualifications • Domain Driven Design (DDD), • AWS cloud-native solution development, • Architecture patterns, design, and critical thinking

Role Overview: • The person will be part of the Global Technology team for a major Insurance client. He/ She will work as a Senior Cloud Engineer within the CDO EDP team and will have the opportunity to work one-on-one with application and infrastructure developers to build and enhance the data infrastructure and application patterns that power mission-critical applications, ensuring that they’re engineered for high availability, durability, and resiliency, • They will be part of an agile team that combines various backgrounds, experiences, and perspectives to solve complex problems within AWS and beyond., • The person will also be required to participate actively in brainstorming sessions for improvement opportunities and take it to completion, • A suitable candidate should have 8+ years of IT experience with at least 5+ years of experience working as an AWS Data Engineer. He/ She should be able to deal with ambiguity., • Experience in life insurance preferred but not mandatory. Key Responsibilities & Skillsets: • Common Skillsets:, • Superior analytical and problem solving skills, • Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision, • Good communication skill for client interaction Application development Skillsets: • Strong ability to debug complex data workflows, optimize application and ETL code, and automate data transformation processes, • Systematic, analytical problem‑solving approach with strong ownership over data quality, performance, and delivery, • Ability to quickly evaluate new AWS data and analytics services and determine fit for data pipelines or application architecture, • Hands‑on experience developing data workflows and infrastructure using IaC frameworks such as CloudFormation or Terraform (as needed), • Working knowledge of CI/CD pipelines primarily to support data application deployments (Jenkins, CodePipeline, etc.), • Proficient with Git for versioning data processing code, libraries, and application components, • Skilled in writing production‑grade code in Python, Node.js, Bash, PowerShell, or similar languages, focusing on data processing and backend development, • Experience using Docker for packaging applications and data-processing workloads, with exposure to containerized data services (ECS, EKS, etc.), • Comfortable developing and troubleshooting in Linux environments, • Solid understanding of key AWS data services and application primitives such as S3, EC2, Glue, EMR, Lambda, RDS, DynamoDB, CloudWatch, and VPC networking concepts, • Strong knowledge of AWS security and IAM as it relates to data pipelines, encryption (KMS), secure data access (IAM roles/policies), and audit controls, • Hands‑on experience with ETL, distributed compute, and big data frameworks such as Spark, Glue, Hadoop/EMR, Impala, or similar tooling, • Deep understanding of relational databases, SQL optimization, and application‑to‑database interaction patterns, • Familiarity with log analytics and observability platforms (Splunk, ELK, Prometheus, Grafana) as they relate to monitoring data pipelines and applications Candidate Profile: • Bachelor’s/Master's degree in computer science/engineering, operations research or related analytics areas welcome to apply, • 8+ years’ experience in AWS Data Engineering, preferably in Life Insurance but not mandatory, • Application development experience, • Team Management, • Superior analytical and problem solving skills, • Outstanding written and verbal communication skills, • Able to work in fast pace continuously evolving environment and ready to take up uphill challenges, • Can understand cross cultural differences and can work with clients across the globe

Job Title: Engineering Manager Location: Remote w/ travel Salary: $150,000-$180,000 + Bonus, Benefits and Travel Paid Skills: Industrial Automation, Controls Engineering, Control Systems About the Company / The Opportunity: Join a dynamic company in the control systems and automation industry that delivers advanced automation and control-system solutions for industrial, energy, life sciences, and mission-critical clients. This Engineering Manager role offers the opportunity to lead technical delivery across complex control-system projects, shape engineering standards and practices, and mentor high-performing teams while partnering with project management and business development to drive successful outcomes. The position blends technical leadership, project execution, and people development and may require travel to customer sites as project needs dictate. Responsibilities: • Lead technical delivery and engineering execution across multiple automation and control-system projects simultaneously, ensuring scope, schedule, and budget objectives are met., • Define, review, and approve system architecture and control-system designs, driving robust integration strategies and technical decisions., • Develop and implement company-wide engineering design philosophies, standards, and best practices to improve quality and consistency., • Collaborate with project managers, business development, and stakeholders to support technical proposals, presentations, and solution strategies., • Provide expert technical guidance to project teams on engineering, operational, and financial considerations, including risk mitigation., • Ensure adherence to quality management systems, safety standards, and continuous improvement in engineering workflows and documentation., • Lead, mentor, and develop engineering staff, managing workloads, performance feedback, staffing, and career progression. Must-Have Skills: • Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, or related technical discipline., • Typically 10+ years of experience in industrial automation, controls engineering, or systems integration environments., • Advanced knowledge of control systems design, automation platforms, PLC/DCS/SCADA integration, and industrial system integration principles., • Proven experience leading engineering teams and delivering complex automation projects., • Proficiency with project management tools such as Microsoft Project and strong ability to manage scope, schedule, and budget., • Excellent communication and stakeholder management skills across technical and executive audiences., • Commitment to quality, safety, and regulatory compliance in engineering delivery. Nice-to-Have Skills: • Professional Engineering (PE) license, PMP, or relevant industry certifications (e.g., ISA)., • Hands-on experience with major PLC and control platforms (e.g., Rockwell, Siemens, Honeywell, Emerson)., • Familiarity with contract management, commercial considerations, and proposal development., • Willingness and ability to travel to client sites as project needs require (up to ~50%).

Senior Director of Customer Support, Americas | Cloud & On-Premise • Lead a large, multi-disciplinary Customer Support organization responsible for the full SaaS product portfolio across On-Premise and Cloud environments. This role oversees Tier 2-3 engineering teams, a group of Technical Account Managers, and offshore support operations, totaling approximately 60 support professionals across multiple global sites. Senior Director of Customer Support, Americas | Role & Responsibilities • Lead and manage Tier 2, and Tier 3 support teams, including offshore operations (approximately 60 engineers)., • Own end-to-end customer support for Cloud and On-Premise customers across the Americas., • Strengthen customer relationships and drive measurable improvements in CSAT and customer loyalty., • Ensure strict adherence to SLAs, KPIs, and contractual service commitments., • Drive Continuous Improvement initiatives by analyzing field issues and implementing corrective actions., • Deliver exceptional service quality, communication, and technical resolutions., • Build strong cross-functional partnerships with Professional Services, R&D, Cloud Operations, and Product teams., • Manage customer engagement and escalation processes, ensuring timely, transparent, and effective resolution of critical issues., • Build, inspire, and retain a high-performing team within the America region, including matrix-managed environments., • Lead initiatives to reduce backlog, improve operational efficiency, and optimize support processes. Senior Director of Customer Support, Americas | Knowledge & Qualifications • Degree in Computer Science, Industrial/Electronic Engineering, or equivalent deep technical experience in IT, infrastructure, and complex system integrations., • Experience in the Financial Market Compliance is a major plus., • 7+ years of leadership experience managing support organizations, including large engineering teams., • 5+ years in customer-facing or outbound engagement roles., • Proven experience managing complex, enterprise-scale systems., • Demonstrated ability to lead teams in cross-functional and matrix environments., • Outstanding leadership, communication, and interpersonal skills., • Strong customer-facing capabilities., • 5+ years of experience supporting Cloud functions and solutions., • Experience in organizations that made transformation from On-Prem to Cloud., • Published Description Senior Director of Customer Support, Americas | Cloud & On-Premise • Lead a large, multi-disciplinary Customer Support organization responsible for the full SaaS product portfolio across On-Premise and Cloud environments. This role oversees Tier 2-3 engineering teams, a group of Technical Account Managers, and offshore support operations, totaling approximately 60 support professionals across multiple global sites. Senior Director of Customer Support, Americas | Role & Responsibilities • Lead and manage Tier 2, and Tier 3 support teams, including offshore operations (approximately 60 engineers)., • Own end-to-end customer support for Cloud and On-Premise customers across the Americas., • Strengthen customer relationships and drive measurable improvements in CSAT and customer loyalty., • Ensure strict adherence to SLAs, KPIs, and contractual service commitments., • Drive Continuous Improvement initiatives by analyzing field issues and implementing corrective actions., • Deliver exceptional service quality, communication, and technical resolutions., • Build strong cross-functional partnerships with Professional Services, R&D, Cloud Operations, and Product teams., • Manage customer engagement and escalation processes, ensuring timely, transparent, and effective resolution of critical issues., • Build, inspire, and retain a high-performing team within the America region, including matrix-managed environments., • Lead initiatives to reduce backlog, improve operational efficiency, and optimize support processes. Senior Director of Customer Support, Americas | Knowledge & Qualifications • Degree in Computer Science, Industrial/Electronic Engineering, or equivalent deep technical experience in IT, infrastructure, and complex system integrations., • Experience in the Financial Market Compliance is a major plus., • 7+ years of leadership experience managing support organizations, including large engineering teams., • 5+ years in customer-facing or outbound engagement roles., • Proven experience managing complex, enterprise-scale systems., • Demonstrated ability to lead teams in cross-functional and matrix environments., • Outstanding leadership, communication, and interpersonal skills., • Strong customer-facing capabilities., • 5+ years of experience supporting Cloud functions and solutions., • Experience in organizations that made transformation from On-Prem to Cloud.

HCLTech is looking for a highly talented and self- motivated Java Full Stack Architect to join it in advancing the technological world through innovation and creativity. Job Title: Java Full Stack Architect Position Type: Full-time Job ID: 117637 Location: Jersey City, NJ Job Description Role Summary: We are seeking an experienced Full Stack Architect to design, build, and govern scalable, secure, and high-performance enterprise applications. The role requires strong hands-on expertise across front-end, back-end, microservices, cloud, and DevOps, along with the ability to guide teams and define technical standards. Key Responsibilities • Design end-to-end full stack architecture for web and enterprise applications., • Define and implement microservices-based architectures using modern frameworks., • Own application design decisions, including scalability, performance, security, and resilience., • Develop and review backend services and APIs., • Collaborate closely with UI, backend, DevOps, QA, and product teams., • Ensure adherence to coding standards, architectural best practices, and design patterns., • Perform code reviews and mentor senior and junior developers., • Drive cloud adoption, CI/CD pipelines, and DevOps best practices., • Participate in technical discussions with stakeholders and customers. Technical Skills (Mandatory) Backend • Strong expertise in Java (Core Java, Java 8+), • Frameworks: Spring Boot, Spring MVC, Hibernate, • RESTful API design, Microservices architecture, • Messaging/Event-driven systems (e.g., Kafka) Frontend • Strong knowledge of HTML5, CSS3, JavaScript (ES6+), • Modern frameworks: Angular / React, • Experience with responsive UI and reusable component design Databases • Relational: Oracle, PostgreSQL, MySQL, • NoSQL: MongoDB, • Strong SQL and performance tuning skills Cloud & DevOps • Cloud platforms: AWS / Azure / GCP, • CI/CD tools: Jenkins, Maven, • Containerization: Docker, Kubernetes, • Monitoring & logging tools (e.g., ELK, Prometheus, Splunk) Testing & Quality • Experience with Unit, Integration, and Regression testing, • Knowledge of test frameworks (Selenium, Karma, Cucumber), • Exposure to TDD / BDD practices Qualifications • Bachelor’s degree in Computer Science, Engineering, or related field., • 18 Yrs of overall IT experience., • 5+ years architect role., • Strong problem-solving, communication, and stakeholder management skills. Nice to Have • Exposure to API gateways and integration platforms., • Experience with gRPC communication., • Knowledge of application performance monitoring tools (e.g., New Relic)., • Domain experience in Banking / Financial Services., • Familiarity with AI/ML integration at an enterprise level. Experience Level: 18+ yrs Pay and Benefits Pay Range Minimum: $128,000 per year Pay Range Maximum: $282,000 per year HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to secure@hcltech.com for investigation. Compensation and Benefits A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the followi14520ng benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.

Position Overview • Right-to-hire opportunity with a major investment firm, • Location: Newark, NJ (Hybrid, 3 days per week onsite), • Pay Rate: $50 to $60 per hour on W2, • W2 only. No C2C. Key Requirements • Both manual and automated testing experience, • End-to-end testing experience, • Selenium and Playwright with Java, • Test artifact creation, including test case design and execution, • Functional testing with UAT experience, • Full stack testing experience (front end and back end) Responsibilities • Design, develop, maintain, and execute automated test scripts and frameworks for UI, API, and back-end validation using Selenium, Cucumber, and related tools, • Create and execute smoke, functional, integration, regression, and end-to-end tests across user stories, applications, and release cycles, • Identify gaps, challenge assumptions, and uncover edge cases to improve product quality and risk coverage, • Develop Quality Management plans, test strategies, and test plans, and peer review test cases for each sprint or release, • Partner with Product Owners and development teams to validate requirements, ensure test coverage, and lead defect review discussions, • Maintain requirement traceability, test cases, test sets, defects, and QA status reporting in approved quality tools, • Support non-functional QA phases, including performance, security, and accessibility testing, • Integrate automated tests into CI/CD build and deployment pipelines, • Provide guidance on QA strategy, governance, risk management, and best practices across scrum teams, • Stay current with industry trends and test automation best practices Education and Experience • B.S./B.A. or M.S./M.A. in Computer Science, Engineering, or a related field, • 5+ years of experience executing and managing all aspects of software testing, • Strong functional, integration, regression, and end-to-end testing across web and mobile applications, • Experience testing RESTful microservices in cloud-based environments, • Understanding of cloud databases, NoSQL (DynamoDB, Aurora), caching (ElastiCache), and SQL Technical Qualifications • Test automation tools: Selenium, TestNG, JMeter, Playwright, Postman, SoapUI, Protractor, Cucumber, TypeScript, • Methodologies: Waterfall, Agile, and Hybrid, • Collaboration tools: JIRA, Confluence, MIRO, • REST API automation, Unix, scripting, and reusable, maintainable test scripts, • AWS: Lambda, DynamoDB, MongoDB, Glue, Athena, Parquet file format, • Jenkins and CI/CD pipeline integration (preferred)

Senior Full Stack Software Engineer Contract-to-Hire Opportunity with a Major Investment Firm Location: Newark, NJ (Hybrid - 3 Days/Week Onsite) Duration: Contract-to-Hire Pay Rate: Up to $65/hour W2 (Based on Experience) Employment Type: W2 Only (No C2C) Candidates: Local Candidates Preferred We are seeking an experienced Senior Full Stack Software Engineer to join a growing technology team within a leading investment management organization. This role offers the opportunity to build enterprise-scale, cloud-native applications while working with modern technologies including Java, React, Spring Boot, AWS, and AI-assisted development tools. The ideal candidate will have a strong background in full stack application development, cloud technologies, and financial services, along with experience building scalable, secure, and high-performing enterprise applications. What You'll Do • Design, develop, and maintain enterprise-grade applications using modern software engineering best practices, • Build high-quality, well-documented, and maintainable code following established coding standards, • Collaborate with Product Owners, Technical Leads, and cross-functional teams to design and deliver scalable business solutions, • Develop RESTful APIs, microservices, and cloud-native applications, • Write unit tests, integration tests, and automated test suites, • Troubleshoot production issues and implement long-term solutions, • Participate in architecture discussions and contribute to application design decisions, • Mentor team members and promote engineering best practices, • Work with modern DevOps tools and CI/CD pipelines to support continuous delivery, • Build secure, reliable, and scalable applications utilizing AWS cloud services, • Leverage AI-assisted development tools to improve engineering productivity and software quality Required Qualifications • Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience), • 6+ years of hands-on experience building enterprise software applications, • Strong experience working within Agile development environments, • Experience with Test-Driven Development (TDD), • Excellent analytical, communication, collaboration, and problem-solving skills, • Ability to quickly learn new technologies and solve complex technical challenges, • Financial Services or Insurance industry experience is required Technical Skills • Strong programming experience with Java, Python, JavaScript, TypeScript, and C#, • Extensive experience building Java applications using Spring Framework, Spring Boot, Maven, and Microservices, • Experience with distributed systems, object-oriented design, multithreading, concurrency, and design patterns, • Front-end development experience with React, • Experience with Node.js, Flask, and Django, • Strong knowledge of relational and NoSQL databases including Oracle, PostgreSQL, DB2, Redshift, and PL/SQL, • Experience with event-driven and streaming technologies including Amazon SQS, Kinesis, AWS MSK, and EventBridge, • Experience designing, developing, and consuming REST APIs and Service-Oriented Architecture (SOA), • Experience with API Management platforms such as Kong and Apigee, • Experience with automated testing frameworks and software quality practices, • Understanding of accessibility standards and secure software development, • Strong knowledge of application security including authentication, authorization, JWT, OAuth 2.0, OpenID Connect, SAML 2.0, SSL, encryption, and DevSecOps, • Experience using GitHub, Bitbucket, Jenkins, and modern DevOps practices, • Knowledge of application monitoring, logging, and Software Development Lifecycle (SDLC) best practices, • Hands-on experience with AWS cloud services across compute, storage, databases, IAM, analytics, and application services Preferred Qualifications • Strong experience with Domain-Driven Design (DDD), • Experience building AWS cloud-native applications, • Strong understanding of modern software architecture patterns, • Excellent system design and critical thinking skills, • Experience with AI-assisted development tools and agentic frameworks such as Claude Code, GitHub Copilot, or similar platforms If you're a Senior Full Stack Engineer looking to work on enterprise-scale applications while leveraging modern cloud technologies and AI-assisted software development, we'd love to hear from you.

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 17,000+, and has 58 offices in 22 countries within key global markets. Our challenge We are looking for a Power Platform & Copilot Studio Developer to build low-code applications, automate business processes, and develop AI-powered copilots using Microsoft technologies. 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 Charlotte, NC/ Jacksonville FL/ Jersey City NJ is $110k - $115k/year & benefits (see below). The Role Responsibilities: • Develop and maintain solutions using Power Apps, Power Automate, and Copilot Studio., • Create automated workflows to improve business efficiency and reduce manual effort., • Build conversational AI copilots and virtual assistants using Copilot Studio., • Integrate solutions with Microsoft 365, SharePoint, Teams, Dataverse, and external APIs., • Collaborate with business users to gather requirements and deliver scalable solutions., • Troubleshoot, optimize, and support Power Platform applications and automations. Requirements: • Bachelor’s degree in Computer Science, Information Technology, Engineering, Business Information Systems, or a related field., • Hands-on experience with Microsoft Power Platform development, including Power Apps and Power Automate., • Experience designing, developing, and maintaining Canvas Apps and Model-Driven Apps., • Strong expertise in building automated workflows, approvals, and business process automations using Power Automate., • Hands-on experience developing conversational AI solutions, virtual assistants, and custom copilots using Microsoft Copilot Studio., • Knowledge of Microsoft Dataverse, data modeling, security roles, and data integration., • Experience integrating Power Platform solutions with Microsoft 365 services, SharePoint Online, Microsoft Teams, Outlook, and external REST APIs., • Strong understanding of Power Platform governance, security, licensing, and best practices., • Ability to gather, analyze, and translate business requirements into scalable and user-friendly solutions., • Experience troubleshooting, optimizing, and supporting production Power Platform applications and workflows., • Familiarity with Power Platform ALM (Application Lifecycle Management), solution deployment, and environment management., • Knowledge of Microsoft Azure services, connectors, and integration technologies is an advantage., • Strong analytical, problem-solving, and debugging skills., • Excellent verbal and written communication skills with the ability to collaborate effectively with business and technical stakeholders., • Ability to manage multiple projects and deliver solutions in a fast-paced environment. Preferred, but not required: • Microsoft Certified: Power Platform Developer Associate (PL-400)., • Microsoft Certified: Power Platform Functional Consultant Associate (PL-200)., • Experience with AI Builder, Generative AI, Copilot for Microsoft 365, and advanced Power Platform capabilities., • Exposure to Azure Logic Apps, Azure Functions, and enterprise integration solutions., • Experience working in Agile/Scrum delivery environments We offer: • A highly competitive compensation and benefits package., • A multinational organization with 58 offices in 22 countries and the possibility to work abroad., • 10 days of paid annual leave (plus sick leave and national holidays)., • Maternity & paternity leave plans., • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)., • Retirement savings plans., • A higher education certification policy., • Commuter benefits (varies by region)., • Extensive training opportunities, focused on skills, substantive knowledge, and personal development., • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses., • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups., • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms., • A flat and approachable organization., • A truly diverse, fun-loving, and global work culture.

Job Title: Software Engineer Location: Secaucus, NJ (Hybrid) Work Model: Onsite four (4) days per week Position Overview We are currently seeking a highly skilled and detail-oriented Software Engineer to join our team. The ideal candidate will possess a strong foundation in full-stack development and enterprise system integration. This role requires a hybrid work arrangement, with a mandatory presence in our Secaucus, New Jersey office four days per week. Key Responsibilities • Design, develop, test, and deploy robust, scalable, and secure software applications utilizing C# and the .NET framework., • Build and maintain dynamic, responsive, and user-friendly front-end interfaces using Angular or React., • Design, optimize, and manage relational databases and complex queries using SQL., • Integrate, configure, and customize solutions within M365 Dynamics or other enterprise Customer Relationship Management (CRM) platforms., • Leverage cloud and low-code/no-code technologies, specifically Azure Cloud, Power Apps, or Power Automate, to streamline business processes and enhance application capabilities., • Collaborate effectively with cross-functional teams, including business analysts and project managers, to translate business requirements into technical solutions., • Participate in code reviews, maintain technical documentation, and adhere to best practices in software development lifecycle (SDLC) methodologies. Required Qualifications • Education: A bachelor’s degree in computer engineering, Computer Science, or a closely related technical discipline is strictly required., • Experience: Four (4) to six (6) years of professional software development experience., • Core Technical Skills: Proficiency in backend development using C# and .NET., • Proficiency in frontend development using Angular or React., • Strong database management and query optimization skills using SQL., • Enterprise & Cloud Technical Skills: Demonstrated experience with M365 Dynamics or an equivalent CRM system., • Practical experience utilizing Azure Cloud services, Microsoft Power Apps, or Microsoft Power Automate.

Please contact Renu Goel 857-207-2676 renu.goel@yoh.com USC and GC only No corps Location: Jersey City Hybrid: Yes 3 days onsite Convert/Visa: Possibility - not able to sponsor Interview: onsite interview • Financial services experience, • Data profiling mapping and transformation analysis • Strong data analysis Advanced SQL, • MDM and Golden Source understanding, • Ability to analyze and reconcile data across multiple systems • Strong communication and documentation skills • Self-sufficient and technically hands-on Technical Data Analyst We are seeking an experienced Technical Data Analyst with strong expertise in Master Data Management (MDM), financial data domains, and enterprise data platforms within the Financial Services industry. This role will function as a key member of the Data organization supporting enterprise data initiatives focused on Security Master, Account, Benchmark, Client, and other critical master and reference data domains. The ideal candidate will combine strong analytical and data domain expertise with hands-on experience supporting MDM implementations, data integration, data mapping, and enterprise data warehouse initiatives. The role requires deep familiarity with financial market data, fund accounting platforms, wealth management data environments, and modern cloud-based data platforms. This position will serve as a Subject Matter Expert (SME) for master and reference data management, data sourcing, data quality, and integration of legacy financial data platforms into modern enterprise data ecosystems. Key Responsibilities: • Act as a Subject Matter Expert (SME) for Master Data Management (MDM) initiatives across Security Master, Account, Client, Benchmark, and related financial data domains., • Analyze, profile, and document enterprise data flows, business rules, and data lineage across financial systems and data platforms., • Contribute to the development and execution of the organization’s data strategy, aligning data initiatives with business goals., • Support enterprise MDM implementation and modernization initiatives involving legacy and cloud-native data platforms., • Support the implementation of scalable data architecture and frameworks to enable advanced analytics and reporting., • Perform detailed data analysis, data mapping, source-to-target mapping, and reconciliation activities across multiple financial data sources., • Collaborate with data architects, data engineers, governance teams, and business stakeholders to define and manage enterprise master and reference data standards., • Support integration of MDM platforms and legacy financial systems into enterprise data lake, warehouse, and cloud data ecosystems., • Develop strong familiarity with enterprise financial datasets and serve as a trusted data SME for downstream analytics, operational, and reporting teams., • Work with market data providers, internal operational systems, accounting platforms, and external reference data feeds to ensure data consistency and accuracy., • Support data quality initiatives including validation, issue analysis, exception management, and governance processes., • Partner with engineering and platform teams supporting cloud-based data platforms and modern data architecture initiatives., • Assist in defining data governance standards, metadata management, lineage tracking, and operational data controls., • Support enterprise reporting, analytics, risk, compliance, and operational data initiatives. Required Skills & Experience: • 5–6 years of experience in data analysis, data engineering, or a related technical role., • Strong experience in Master Data Management (MDM) and enterprise data analysis., • Drive initiatives around data standardization, metadata management, and data cataloging., • Expertise with financial master and reference data domains including Security Master, Account, Benchmark, Client, and related financial datasets., • Experience with MDM platforms such as GoldenSource or similar enterprise MDM solutions., • Strong understanding of financial services data ecosystems and operational data flows., • Experience with fund accounting, wealth management, custody, investment operations, or related financial platforms., • Understanding data modeling, data warehousing, and data integration concepts., • Familiarity with market data providers, reference data feeds, and financial instrument data structures., • Experience performing data mapping, source-to-target analysis, reconciliation, and data lineage documentation., • Strong SQL and data analysis skills with the ability to analyze large and complex datasets., • Understanding of enterprise data warehouse, data lake, and modern cloud data platform architectures., • Familiarity with cloud-based data platforms and technologies including Databricks, Spark, and distributed data environments., • Experience collaborating with data engineering, architecture, governance, and analytics teams., • Knowledge of metadata management, data quality, and governance processes., • Experience supporting data integration initiatives across legacy and modern enterprise platforms., • Understanding of financial industry regulatory, operational, and reporting data requirements within U.S. financial institutions. Preferred Qualifications: • Financial Services, Asset Management, Wealth Management, or Banking industry experience strongly preferred., • Exposure to enterprise data modernization and cloud migration initiatives., • Familiarity with Azure, AWS, or other cloud-native data ecosystems., • Experience supporting analytics, reporting, and enterprise data consumption platforms., • Strong communication, documentation, and stakeholder management skills., • Ability to function as a trusted SME within enterprise data programs and cross-functional initiatives. Education: Bachelor’s degree in Computer Science, Information Systems, Finance, Engineering, Mathematics, or related field. Estimated Min Rate: $52.50 Estimated Max Rate: $75.00 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.

Senior AWS Data Engineer / DevOps Engineer Contract Opportunity with a Major Investment Firm Location: Newark, NJ (Hybrid – 3 days onsite per week) Join a highly visible Enterprise Data Platform team responsible for designing and building cloud-native data solutions supporting enterprise analytics, governance, and modern data architecture initiatives. You'll work in a cutting-edge AWS environment leveraging advanced data engineering, DevOps, and data governance technologies. This is an excellent opportunity for an experienced AWS Data Engineer who enjoys building scalable data pipelines, automating infrastructure, and working across cloud engineering, DevOps, and enterprise data platforms. What You'll Be Working With The environment includes several leading enterprise data management platforms, including: • Informatica Data Catalog, • Informatica Data Marketplace, • Informatica Data Lineage, • Informatica Data Quality, • Denodo, • Ataccama Experience with any of these platforms is considered a strong plus. Key Responsibilities • Design, develop, and maintain scalable AWS-based data engineering solutions., • Build automated data ingestion pipelines from databases, APIs, file systems, and NAS shares into AWS data lakes and relational databases., • Develop end-to-end data solutions including ingestion, storage, processing, integration, and data access., • Design and implement modern ETL/ELT pipelines., • Build enterprise-scale AWS Data Lake and Data Warehouse solutions., • Develop infrastructure using Infrastructure as Code (CloudFormation)., • Build and maintain CI/CD pipelines using Jenkins and CloudBees., • Implement DevOps best practices across AWS environments., • Create automated deployment pipelines integrating SonarQube, security scans, and automated testing., • Collaborate with architecture, QA, product, and engineering teams throughout the SDLC., • Participate in Agile ceremonies including estimation, planning, code reviews, and sprint execution., • Troubleshoot application and pipeline performance issues., • Document technical designs, implementation decisions, issues, and lessons learned., • Stay current with emerging AWS technologies and engineering best practices. Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Software Engineering, or related field., • 8+ years of Data Engineering experience., • AWS Solutions Architect or AWS Developer Certification (required)., • Strong experience building cloud-native data platforms on AWS., • Experience developing enterprise data ingestion pipelines., • Strong Python, SQL, and Shell scripting experience., • Experience with AWS Data Lake and Data Warehouse architectures., • Experience implementing ETL/ELT solutions., • Strong DevOps experience with CI/CD automation. Hands-on experience with AWS services including: • CloudFormation, • S3, • Athena, • Glue, • Glue DataBrew, • EMR / Spark, • RDS, • Aurora, • Redshift, • DynamoDB, • Lambda, • Step Functions, • IAM, • KMS, • Secrets Manager, • EventBridge, • EC2, • SQS, • SNS, • Lake Formation, • CloudWatch, • CloudTrail, • DataSync, • DMS Preferred Experience • Amazon Kinesis, • AWS Managed Airflow, • AWS Managed Kafka (MSK), • Redshift RBAC, • AWS IAM security models, • Jenkins, • CloudBees, • Bitbucket, • Docker, • Maven, • Gradle, • MS Build, • SonarQube, • Artifactory, • Jira, • Confluence, • Groovy scripting, • API deployment automation

oXya is a leading provider of cloud and managed services, specializing in SAP solutions that drive operational excellence. We empower midsize and global enterprises by enhancing the efficiency, flexibility, and reliability of their mission-critical IT systems. As an independent consultant, we offer expert guidance in selecting the best technical solutions and managing them across private cloud, AWS, Azure, and Google Cloud. Our dedicated teams integrate seamlessly with our customers’ IT organization providing strategic consulting, proactive support, and tailored cloud solutions to ensure smooth and efficient operations. Trusted by a diverse range of clients, oXya delivers the expertise and reliability needed to optimize infrastructure, streamline support, and accelerate business success. As an SAP BASIS Administrator at oXya, you will play a key role in supporting a diverse range of customers by deploying and managing IT technologies across SAP environments, databases, operating systems, networks, and public cloud platforms. Working alongside experienced SAP BASIS consultants, you will help monitor system performance, troubleshoot technical issues, implement changes within SAP landscapes, and deliver reliable, high-quality support to our customers while building your technical expertise. This role is ideal for someone with strong problem-solving skills, and a desire to build a career in SAP BASIS and cloud infrastructure. GENERAL RESPONSIBILITIES · Assist with daily SAP system monitoring and operational activities · Perform routine system checks, analyze monitoring reports, and escalate issues when required · Support incident resolution by troubleshooting basic SAP system, database, and operating system issues · Assist with SAP user administration, transport management, and printer configuration activities · Support SAP system maintenance activities including patches, upgrades, and refresh operations under guidance · Assist with database backup monitoring and validation activities · Gain exposure to SAP HANA, Oracle databases, and SAP system landscapes · Support operating system activities across Linux and Windows environments · Assist with SAP infrastructure operations across AWS, Microsoft Azure, and Google Cloud Platform, including (but not limited to) virtual machines, storage, backups, snapshots, monitoring, access management, and basic networking support. · Perform basic operating system administration activities across Linux and Windows environments, including service checks, log review, file system monitoring, permissions validation, and coordination of OS-level patching activities. · Maintain technical documentation, procedures, and operational guides · Participate in knowledge-sharing sessions and continuous improvement initiatives · Follow established operational procedures and contribute to team success PROJECT/CHANGE MANAGEMENT · Support recurring operational activities and assigned technical tasks · Assist with SAP installations, upgrades, migrations, and system refresh activities · Learn and participate in client copy, kernel upgrades, transport activities, and other BASIS-related tasks · Assist with preparation and execution of technical changes following established procedures · Document completed activities and lessons learned · Develop knowledge of SAP project delivery methodologies and best practices COMMUNICATION/PRESENCE · Work closely with team members, service delivery managers, and customer teams · Provide updates on assigned tasks, incidents, and operational activities · Assist with customer communications related to routine requests and support activities · Maintain clear and professional documentation of technical activities · Escalate issues appropriately while following established support processes · Build strong relationships with internal teams and customers · Participate in customer reporting and operational review activities. EDUCATION/EXPERIENCE REQUIREMENTS · Bachelor’s degree in computer science, Information Systems, Engineering, or equivalent experience preferred · 3 plus years of experience in IT infrastructure, SAP support, system administration, or related technology roles · Understanding of SAP environments, including SAP ECC, SAP S/4HANA, or SAP HANA concepts · Familiarity with operating systems such as Linux (Red Hat/SUSE) and Microsoft Windows · Understanding of databases such as SAP HANA, Oracle, or SQL Server · Exposure to cloud technologies such as AWS, Microsoft Azure, or Google Cloud · Scripting or automation experience using shell scripting, PowerShell, Python, Ansible, Terraform, or similar tools is preferred. · Strong analytical and troubleshooting skills with the ability to learn new technologies · Ability to work collaboratively within a global, cross-functional team environment · Strong communication skills and professional attitude · Willingness to learn SAP BASIS administration and cloud infrastructure technologies · Fluency in English WHY JOIN OXYA? • Build Real-World Expertise: Gain hands-on experience working in complex, enterprise-grade SAP environments that power global business operations., • Learn from the Best: Collaborate with a diverse and experienced team of SAP professionals committed to mentoring and knowledge sharing., • Work with Modern Technologies: Engage with cutting-edge cloud platforms and infrastructure solutions (e.g., AWS, Azure, SAP BTP, SAP HANA) that are shaping the future of enterprise IT., • Accelerate Your Career: Lay the foundation for long-term success in SAP and IT by developing skills that are in high demand across industries. All qualified applicants will receive consideration for employment without regard to race, color, religion, place of origin, ethnic origin, national origin, ancestry, age, sex, sexual orientation, gender identity, transgender status, genetic information, mental or physical disability, marital status, pregnancy, veteran status, or any other characteristic protected by applicable national, state, or local law.

Job Title: LangChain AI Engineer with Python, AWS and Java Location: Jersey City, NJ (Onsite 5x a week, relocation is fine) Job Description-: Need to have Python Development as Primary Language and Java Development (20%) as Secondary Language with AWS Cloud experience. Job Summary: We are seeking a skilled Software Developer with a strong foundation in Java and Python, along with experience in cloud technologies, specifically AWS. The ideal candidate will have familiarity with either the Langchain or Sierra framework. This role requires a proactive individual who can contribute to our projects by developing robust software solutions and collaborating with cross-functional teams. Responsibilities: • Design, develop, and maintain high-quality software applications using Java and Python., • Implement cloud-based solutions on AWS to enhance application performance and scalability., • Collaborate with product managers, designers, and other developers to define project requirements and deliverables., • Utilize Langchain or Sierra framework to build and integrate applications effectively., • Conduct code reviews and provide constructive feedback to ensure code quality and best practices., • Participate in troubleshooting and debugging of applications to resolve issues promptly., • Stay updated with emerging technologies and industry trends to continuously improve development processes. Mandatory Skills: • Proficiency in Java programming language., • Strong knowledge of Python and its frameworks., • Experience with AWS services and cloud architecture., • Familiarity with either Langchain or Sierra framework., • Solid understanding of software development methodologies and best practices. Preferred Skills: • Experience with containerization technologies such as Docker., • Knowledge of CI/CD pipelines and DevOps practices., • Familiarity with Agile development methodologies., • Understanding of database management systems and SQL., • Excellent problem-solving skills and attention to detail. Qualifications: • Bachelor’s degree in computer science, Software Engineering, or a related field., • Strong analytical and communication skills., • Ability to work independently and as part of a team in a fast-paced environment.

Python/S3 Engineer 18 Month W2Contract Hybrid 3 days onsite Plano | Jersey City | Charlotte $68/hour Candidate should understand how to leverage AI to improve efficiency, AI should not be required for candidates to demonstrate their technical knowledge and skills during the interview process. Please screen candidates accordingly prior to submission. Role Overview Enterprise Finance Technology's AI, Data & Platform Services Technology (ADAPT) Team is seeking a motivated Data Engineer to help develop and support a modern enterprise data platform built on Python, Apache Airflow, S3-compatible object storage, Apache Iceberg, and Starburst. The Data Engineer will design, develop, and maintain data ingestion and transformation pipelines that create governed, scalable, and reusable data products. The engineer will: • Build and maintain Apache Airflow DAGs, • Onboard new data sources, • Establish and maintain data connectivity, • Create and manage Apache Iceberg tables, • Make curated datasets available for enterprise analytics and reporting, • Develop automated data workflows to replace manual processes, • Promote data quality, reliability, and operational efficiency The successful candidate will contribute to strategic modernization initiatives and work closely with platform engineering teams, application owners, and business stakeholders in an Agile environment. The candidate will function as both an individual contributor and an active member of a globally distributed team. Required Qualifications • 3–5 years of hands-on experience developing data engineering solutions using Python, • 2+ years of experience developing and supporting Apache Airflow DAGs in production environments, • Experience designing, developing, and supporting data pipelines and automated workflow solutions, • Experience with S3-compatible object storage platforms or cloud object storage technologies, • Experience creating, managing, and troubleshooting Apache Iceberg tables or similar modern table formats, • Experience connecting to and integrating data from enterprise platforms such as:, • Oracle, • SQL Server, • Hive, • Teradata, • PostgreSQL, • Similar enterprise database platforms, • Proficiency working in Linux/Unix environments, including shell scripting, • Experience with Git/source control and collaborative software development practices, • Understanding of data lakehouse and modern data platform concepts, • Working knowledge of SQL and database design concepts, • Understanding of Agile software development methodologies, • Strong analytical, troubleshooting, and problem-solving skills, • Excellent written and verbal communication skills, • Bachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, or a related STEM discipline Preferred Skills & Experience • Experience with Starburst, Trino, or Presto, • Familiarity with Hadoop ecosystem technologies, including Hive and HDFS, • Experience with CI/CD pipelines and automation tools, such as:, • Jenkins, • GitHub Actions, • Bitbucket Pipelines, • Ansible, • Experience implementing data quality, monitoring, and observability solutions, • Knowledge of data governance, metadata management, and data lineage, • Experience supporting large-scale analytical data platforms, • Exposure to container-based platforms such as Kubernetes or OpenShift, • Understanding of enterprise security controls, authentication mechanisms, encryption standards, and access management, • Exposure to reporting, analytics, AI, or machine learning data platforms Core Technology Stack Primary: Python, Apache Airflow, Apache Iceberg, S3/Object Storage, Starburst Databases & Data Platforms: Oracle, SQL Server, PostgreSQL, Teradata, Hive, HDFS Query Technologies: SQL, Starburst, Trino, Presto Development & DevOps: Git, Jenkins, GitHub Actions, Bitbucket Pipelines, Ansible Infrastructure: Linux/Unix, Kubernetes, OpenShift Data Engineering: Data Pipelines, Data Lakehouse, Data Quality, Data Governance, Metadata, Data Lineage, Monitoring & Observability

Job Title: Z/OS System Programmer Location: Jersey City, NJ - Hybrid - 2 days onsite Type: Full Time Salary' $125K- $165K base+ bonus Role Overview In this role, you will lead the delivery and lifecycle management of enterprise mainframe platforms, overseeing both hardware and software environments. You will drive modernization, innovation, and operational excellence while managing high-performing technical teams supporting critical z/OS systems. Key Responsibilities • Lead and oversee a broad portfolio of delivery projects supporting mainframe hardware and software lifecycle management., • Manage teams responsible for administering multiple mainframe environments running on z/OS, leveraging technologies such as JCL, DB2, IMS, CICS, source code management tools, SDLC practices, and security frameworks (ACF2, RACF, TSS)., • Drive modernization initiatives by rethinking traditional service models and implementing innovative, automated, and scalable solutions., • Partner with cross-functional teams including Data Center Services, Production Services, and Application Development to identify and shape new opportunities., • Provide strategic leadership across the organization, fostering collaboration and alignment across business and technology stakeholders., • Coach, mentor, and develop team members and managers, leveraging talent management processes to build a highly engaged and high-performing organization., • Lead complex programs and projects, ensuring successful delivery and alignment with business objectives.Required Qualifications Education, • Bachelor’s degree in Engineering, Computer Science, or a related field, • Advanced certifications in infrastructure engineering or related disciplines (preferred)Experience, • 10+ years of diverse experience in information technology, • Proven experience in mainframe environments, including infrastructure, system programming, or application development, • Experience leading technical teams and managing complex programs or projects, • Financial services or securities industry experience is a plusCore Skills, • Strong expertise in infrastructure design, implementation, and architecture principles, • Deep understanding of mainframe technologies and environments, • Excellent analytical and problem-solving abilities, • Strong leadership, collaboration, and communication skills, • Ability to influence stakeholders and communicate complex technical concepts clearly across all organizational levels, • Experience managing across teams, functions, and client environmentsPreferred Technical Expertise, • Knowledge in one or more mainframe disciplines, • ITIL / ITSM practices (Release, Change, CMDB), • Installation and maintenance of IBM operating systems and ISV software, • z/OS, PARMLIB, Unix System Services, HCD, • SMP/E and maintenance processes, • JCL and system IPL processes, • ISPF / TSO, • Experience building and maintaining mainframe platforms and frameworks, • Familiarity with tooling, utilities, and data transport mechanisms Estimated Min Rate: $125000.00 Estimated Max Rate: $165000.00 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

Position: Sr Machine Learning Engineer Location: California and New Jersey Duration: 6 months (right to hire) Interview Process: 2-3 interview rounds (intro, coding, architecture) Summary: As a Sr Machine Learning Engineer, you will be independently engineering Agentic AI Systems, and partner with Data Scientists, Data Engineers, Data Analysts, DevSecOps and other professionals helping to implement traditional models and agentic AI systems to deliver stability, producibility, scalability and integration with other products and services. You will also participate in architectural capabilities that combine large language models with semantic knowledge layers, knowledge graphs, ontologies, and deterministic reasoning to support accurate, explainable and governable business decisions. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services, and experiences to delight our customers! In addition to advanced technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insights, an inclusive leadership attitude and a continuous learning focus on all that you do. Here is what you can expect in a typical day: • Architect, Design and Development and Deployment of ML models and Agentic AI systems that solve real-world business problems, while working in collaboration with the Product and Data Science teams; remove complex technical impediments, • Design and implement semantic knowledge layers that represent domain entities, relationships, taxonomies, ontologies and business rules for use by LLM and agentic applications., • Build knowledge graph, Graph RAG capabilities that combine vector retrieval with entity resolution, graph traversal, multi-hop reasoning, and relationship aware context retrieval., • Solve complex problems by writing and testing application code, developing and validating ML models and Agentic AI, and automating tests and deployment using LLM tools like Claude Code., • Leverage cloud-based architectures and technologies to deliver optimized ML models, semantic reasoning and Agentic systems at scale., • Construct optimized data, ingestion, knowledge graph, semantic layer and memory pipelines to feed ML models and Agentic systems, • Define approaches for ontology lifecycle management, schema evolution, temporal knowledge, data lineage, graph freshness, and synchronization with source systems.?, • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code, • Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day, • Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables., • Use programming languages including but not limited to Python, C++, SQL, Cypher, Gremlin or other graph query languages. The Skills and expertise you bring: • Bachelor of Computer Science or Engineering or experience in related fields, • Ability to coach others with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization, • Experience with agile development methodologies and Specification-Driven Development (SDD), • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business, • Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges, • Excellent problem solving, communication and collaboration skills Advanced experience and/or expertise with several of the following: • Software Engineering & System Design: Requirement analysis, coding, and testing, version control, microservices architecture, building RESTful APIs, Distributed computing, architecture patterns, general understanding of computer architecture, Object-oriented programming concepts, • Machine Learning and Deep Learning: Good understanding of ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics., • Agentic and Generative AI: Architecture, development, evaluation, and deployment of LLM and multi-agent systems - including orchestration, tool use, context engineering, memory, session state, guardrails, human-in-the-loop controls, and agent observability.?Experience combining LLMs with knowledge graphs, ontologies, semantic retrieval, and deterministic?rules?or constraint engines to reduce unsupported reasoning and improve consistency., • Knowledge Graphs & Ontologies: Experience building semantic layers using knowledge graphs, ontologies, and entity relationship models; integrating them with LLMs and Agentic AI to enable multi-hop reasoning, explainability, deterministic business rules, and governance., • Model Performance and Governance: model monitoring, model validation, bias detection, explainability, performance, drift, outliers and agent observability, etc., • Model Deployment: Thorough Understanding of ADLC (Agent Development Life Cycle), CI/CD/CT pipelines (using tools like GitActions, Jenkins, CloudBees etc.), A/B testing. Pipeline frameworks like MLFlow, SageMaker pipeline, etc. model and data versioning., • Data Integration, Transformation & Processing: Transforming and mapping raw data to generate insights. Data wrangling through various tools. Understanding big data ecosystems, relational, NOSQL, and graph databases, unstructured and semi-structured data. Data processing on distributed systems with Spark/PySpark, • Knowledge of how databases are structured and function efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc. SQL (relational), Unstructured (NoSQL), Graph/ontology (Graph DB), and semantic data models., • Statistics and Computing: Strong knowledge of: Linear Algebra, Probability and Statistics, Multivariate Calculus, Distributions like Poisson, Normal, Binomial etc., • Programming Languages: Python, C++, SQL, Cypher, Gremlin or other graph query languages

The pay rate for this position is $25/hour. Hourly wage is based on experience and geographical location. • Flexible work schedule, • Access to an employee discount program, • Reimbursable travel time and mileage Field Interviewers on the National Survey of Family Growth (NSFG) are responsible for: • Traveling frequently to selected locations to recruit study participants, • Locating selected dwelling units, identifying eligible adult household members, administering a screening interview and recruiting respondents for a longer main interview, if selected, • Interacting with others and approaching selected households without a prior appointment, • Making in-person contact with selected respondents to discuss the study, answer questions, and obtain participation, • Collecting confidential information and administering standardized questionnaires, • Independently managing administrative duties, including participating in conference calls and completing online trainings, • Transmitting data as scheduled, • Assuming full and legal responsibility for use and care of project-issued equipment, • Safeguarding any participant incentives, issued equipment, or project materials against damage, loss, or theft, • Assuming responsibility for and carefully tracking all participant incentives, • Submitting timely and accurate Time & Expense reports, • Virtually attend scheduled meetings with other members of the project team, • Maintaining regular access to a reliable wireless internet connection in your home for project work, • Meeting weekly with supervisor via Zoom, • This position involves standing, walking and climbing stairs, and transporting equipment and materials such as laptop computers and notebooks weighing 15 pounds or more RTI International is seeking self-motivated and outgoing individuals to work on an important and long-standing government-sponsored research study, the National Survey of Family Growth (NSFG) as Part-Time Field Interviewers. The National Survey of Family Growth (NSFG), conducted by the federal government since 1973, is a national survey of women and men, 15-49 years of age, designed to provide national estimates of factors affecting pregnancy and birth rates, and general reproductive health. The topics covered in the NSFG are sensitive but extremely important for understanding women’s and men’s health and well-being in the United States. The NSFG interview covers sexual activity, contraceptive use, pregnancy history (including pregnancy loss), infertility, relationship experience, (including marriages and cohabitation), use of medical services (including family planning, infertility services, and preventative health care), and experience with adoption and foster care. For more information on the NSFG research project and requirements, please see: _. Field Interviewers will make face-to-face visits to selected households to screen for eligible respondents and conduct in-person NSFG interviews. Given the survey description above, these interviews require asking sensitive questions to selected respondents in a private setting using a project-provided tablet. This is an excellent opportunity for individuals looking for a part-time, long-term career with a variable schedule that allows you to work independently and not be stuck in an office. As a part-time Field Interviewer, you will interact with others and approach selected households without a prior appointment. If you’re interested in engaging people from a variety of backgrounds and passionate about the health and well-being of others, this may be the job for you. Qualified candidates MUST be able to work when respondents are available and be comfortable working a consistent, varied schedule to accommodate project needs. Data collection will run through December 2029. Minimum Required Qualifications • Must possess High School Diploma or GED, • Possess effective communication skills through speech and listening, • Fluency in English through reading, writing, and speaking, • Available for entire training and data collection period, • Able to successfully complete training, • Must have a valid US driver's license and reliable personal automobile available for business use, • Comfortable using RTI issued tablet, laptop and other associated equipment, • Access to password-protected Wi-Fi connection for data transmissions and administrative responsibilities, • Able to keep project information confidential, • Willingness to work in various types of weather conditions and after dark, • Must be comfortable asking survey questions on personally sensitive subject matters (e.g. pregnancy, reproduction, sexual activity), • Must be willing to work approximately 20 hours a week, including weekends and weekday evenings, on a regular basis with occasional weekday daytime hours., • Must be comfortable working in unfamiliar areas Preferred Qualifications for Ideal Candidates, • Positive, self-motivated, curious, and enjoy interacting with people from a variety of backgrounds, • Effective time, schedule, and workload management skills to meet set deadlines, • Computer skills, namely email and internet proficiency, • Experience conducting in-person, household interviews with randomly selected respondents, • Willingness to travel to other areas in geographical region (e.g., within state, adjacent state) for short periods of time, • The data collection period is expected to begin January 2027, • On average, you will be needed approximately 20 hours per week when work is available, • On average, you should be available to work in the field 4 days each week, • The majority of this work is anticipated to be during evenings and weekends, • Each of your trips to the field are expected to be at least 4 hours long Field Interviewer Training Requirements: • Must attend a paid 7-day virtual training, not including the weekend, scheduled for January 20 - January 28, 2027 between the hours of 11:00 am and 4:00 pm eastern, • Required to complete a self-administered home study and pre-training courses prior to attending virtual training, • Must attend all trainings and successfully complete required courses RTI International will accommodate our job application procedures for disabled veterans and other qualified individuals with disabilities. If you have a disability that affects the use of our online application system, or if you otherwise need accommodation in connection with the recruiting process due to a disability, please _ for information on how to contact us to request an accommodation. RTI International is an independent, nonprofit research institute dedicated to improving the human condition. Clients rely on us to answer questions that demand an objective and multidisciplinary approach--one that integrates expertise across the social and laboratory sciences, engineering, and international development. We believe in the promise of science, and we are inspired every day to deliver on that promise for the good of people, communities, and businesses around the world. For more information, visit _. We are proud to be 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 status, protected veteran status, or any other characteristic protected by law. Further information is available _. At RTI, we demonstrate our commitment to rewarding individual and team achievement through a total rewards package. This package includes (among other things) a competitive base salary, a competitive range of insurance plans (including health, dental, life insurance, a health savings account (HSA), and access to a 401(k) retirement plan. For USA Job Postings Only: RTI participates in the US Government E-Verify program. Further information regarding the E-Verify program and laws that are designed to protect you against discrimination relating to your legal right to work in the US can be found at _. For San Francisco, CA USA Job Postings Only: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Further information is available _. RTI accepts applications to our job openings from candidates with criminal histories or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. For Applicants in Massachusetts Only: 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. For Applicants in US Virgin Islands Only: A record of conviction will not exclude an applicant from being eligible for the position. Factors that may be examined include: (1) The rational relationship of the nature of the offense to the duties and responsibilities of the position; and (2) Evidence of the rehabilitation of the applicant. RTI also participates in the E-Verify program. Click to view the posters in English and Spanish. Click to view the anti-discrimination notice issued by the Office of Special Counsel for Immigration-Related Unfair Employment Practices. Click _ to view the Right to Privacy in the Workplace/E-Verify Poster