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Please share your resume to shashi.raj@yoh.com\n \n Sr. Java Full Stack Engineer with Trading experience Remote within the U.S. W2 Only We can provide visa sposorship for the right candidate \n\n • Extensive hands-on experience (10+ years) in software design and development, with expertise in Java, Spring API development, and Linux.\n, • Strong understanding of fixed protocols and low latency messaging systems such as Kafka.Expertise in Java, Python, and Linux.Collaborate with internal and external teams to deliver robust, end-to-end trading workflows.\n, • Lead performance tuning and optimization efforts across the platform.\n, • Deep experience with low latency messaging systems (e.g., 29West, Kafka)\n, • Proficiency in KDB+ or other time-series databases.\n, • Strong background in building scalable, distributed, asynchronous, and event-driven applications.\n, • Advanced knowledge of low latency design patterns and performance optimization techniques.\n, • Experience with Capital Markets or Brokerage systems, especially order management.\n, • Solid understanding of the FIX protocol and FIX engines.\n, • Worked with AI developer assist tools (e.g. GitHub Copilot).\n, • Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy.\n, • Hands-on experience deploying applications to AWS or other cloud platforms.\n\n Estimated Min Rate: $59.50\n Estimated Max Rate: $85.00\n \n 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:\n \n \n\n • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)\n, • Health Savings Account (HSA) (for employees working 20+ hours per week)\n, • Life & Disability Insurance (for employees working 20+ hours per week)\n, • MetLife Voluntary Benefits\n, • Employee Assistance Program (EAP)\n, • 401K Retirement Savings Plan\n, • Direct Deposit & weekly epayroll\n, • Referral Bonus Programs\n, • Certification and training opportunities \nNote: 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.\n \n \nYoh, 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.\n \n \nVisit 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.\n \n \nFor 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.\n \n \nIt 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.\n \n \nBy 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.

Please contact\n \nRenu Goel\n \n857-207-2676\n \nrenu.goel@yoh.com\n \n \nlocal to NJ\n \n \nTop 5 must haves: Senior Level\n \n \n\n • Python\n, • Airflow/DBT\n, • Communication, both written & Verbal\n, • \n Kubernetes \n the role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment. Given these requirements, we are looking for someone with deeper, practical experience in DBT and Airflow within Kubernetes-based, on-prem environments. \n • If background is predominantly on GCP, and while this is valuable, we are currently more conservative with cloud-native platforms. This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup. \nContract Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite in Jersey City, NJ \n \n Location: Jersey City, NJ // Hybrid: 3 days a week • MUST HAVE HANDS ON Apache Airflow DAG development, dbt Core, Kubernetes, on-prem OpenShift experience MUST HAVE SKILLS \n\n • 10+ years of professional experience in data engineering, designing and supporting enterprise-scale data platforms in production environments\n, • The role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment.\n, • This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup.\n, • Given these requirements, we are looking for someone with deeper, practical experience in dbt and Airflow within Kubernetes-based, on-prem environments. \nJob Summary:\n \nWe are seeking a highly skilled Senior Data Engineer with 8-10+ years of hands-on experience in enterprise data engineering, including deep expertise in Apache Airflow DAG development, dbt Core modeling and implementation, and cloud-native container platforms (Kubernetes / OpenShift). This role is critical to building, operating, and optimizing scalable data pipelines that support financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads. The ideal candidate will have extensive hands-on experience in workflow orchestration, data modeling, performance tuning, and distributed workload management in containerized environments.\n \n Estimated Min Rate: $56.00\n \n Estimated Max Rate: $80.00\n \n 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:\n \n \n\n • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)\n, • Health Savings Account (HSA) (for employees working 20+ hours per week)\n, • Life & Disability Insurance (for employees working 20+ hours per week)\n, • MetLife Voluntary Benefits\n, • Employee Assistance Program (EAP)\n, • 401K Retirement Savings Plan\n, • Direct Deposit & weekly epayroll\n, • Referral Bonus Programs\n, • Certification and training opportunities \nNote: 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.\n \n \nYoh, 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.\n \n \nVisit 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.\n \n \nFor 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.\n \n \nIt 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.\n \n \nBy 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.

Please share your resume to suman.dabbeta@yoh.com \n \nSuman Dabbeta | Sr. Recruiter | Yoh\n \nhttps://www.linkedin.com/in/sumandabbeta/ \n \n local to NJ/NJ/CT only Looking for SME for this role Open for 3rd party resumes - C2C *In-Person interview* Hybird role* Top 5 must haves: Senior Level \n\n • Python\n, • Airflow/DBT\n, • Communication, both written & Verbal\n, • \n Kubernetes \n the role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment. Given these requirements, we are looking for someone with deeper, practical experience in DBT and Airflow within Kubernetes-based, on-prem environments. \n • If background is predominantly on GCP, and while this is valuable, we are currently more conservative with cloud-native platforms. This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup. \nContract Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite in Jersey City, NJ \n \n Location: Jersey City, NJ // Hybrid: 3 days a week • MUST HAVE HANDS ON Apache Airflow DAG development, dbt Core, Kubernetes, on-prem OpenShift experience MUST HAVE SKILLS \n\n • 10+ years of professional experience in data engineering, designing and supporting enterprise-scale data platforms in production environments\n, • The role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment.\n, • This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup.\n, • Given these requirements, we are looking for someone with deeper, practical experience in dbt and Airflow within Kubernetes-based, on-prem environments. \nJob Summary:\n \nWe are seeking a highly skilled Senior Data Engineer with 8-10+ years of hands-on experience in enterprise data engineering, including deep expertise in Apache Airflow DAG development, dbt Core modeling and implementation, and cloud-native container platforms (Kubernetes / OpenShift). This role is critical to building, operating, and optimizing scalable data pipelines that support financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads. The ideal candidate will have extensive hands-on experience in workflow orchestration, data modeling, performance tuning, and distributed workload management in containerized environments.\n \n Estimated Min Rate: $56.00\n \n Estimated Max Rate: $80.00\n \n 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:\n \n \n\n • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)\n, • Health Savings Account (HSA) (for employees working 20+ hours per week)\n, • Life & Disability Insurance (for employees working 20+ hours per week)\n, • MetLife Voluntary Benefits\n, • Employee Assistance Program (EAP)\n, • 401K Retirement Savings Plan\n, • Direct Deposit & weekly epayroll\n, • Referral Bonus Programs\n, • Certification and training opportunities \nNote: 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.\n \n \nYoh, 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.\n \n \nVisit 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.\n \n \nFor 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.\n \n \nIt 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.\n \n \nBy 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.

Job Title: AI Develoer/ ML Engineer Contract Role Location: Onsite Jersey City, NJ Required Qualifications, Capabilities, and Skills: • MS in Computer Science, Statistics, Mathematics, Machine Learning, or related field (or equivalent experience)., • Minimum 7 years of development experience, with at least 4 years working on AI/ML solutions., • Hands-on experience building LLM-powered or agentic applications in production, including tracing, evaluations, and guardrails., • Hands-on experience taking predictive or optimization models to production and keeping them healthy there, including validation, monitoring, and retraining., • Practical RAG experience — retrieval quality, embeddings, and vector stores; Graph RAG a strong plus., • Strong programming skills in Python, with deep knowledge of data structures, algorithms, machine learning, data mining, information retrieval, and statistics., • Knowledge of Kubernetes (AWS EKS)., • Experience with training models in Databricks and SageMaker., • Experience working with MLflow., • Expert knowledge of at least one of: AWS, Azure, Kubernetes., • Knowledge of data management and data model design; real-time processing using both SQL (e.g., Postgres) and NoSQL stores (e.g., OpenSearch, Redis)., • Excellent communication skills with the ability to partner effectively with senior technical and business stakeholders. Preferred Qualifications, Capabilities, and Skills: • Experience with pricing, revenue management, elasticity, or demand forecasting models in a production setting., • Experience with mathematical optimization (linear and mixed-integer programming, e.g., OR-Tools or Gurobi) and with constrained recommendation problems., • Experience with causal inference, uplift modelling, or experiment design where randomization is limited., • Experience delivering models through model risk management or equivalent regulatory review., • Experience working in the financial or payments domain at a large institution (Investment Banking, Markets, Securities Services, or adjacent), or with commercial card, treasury services, or billing and revenue systems., • Experience with agent frameworks or runtimes, A2A, or MCP., • Agent memory design (memory nodes, episodic/semantic memory) and organizational context management., • Knowledge graphs and graph databases used for retrieval., • Understanding of LLM fine-tuning and small language model inference., • Ability to develop full-stack products using modern JavaScript/TypeScript frameworks (e.g., Next.js, Svelte) for agent UIs (AG-UI / NEO UI SDK)., • Knowledge of high-performance languages such as Go or Rust. “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

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.

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

Location : Iselin, NJ (Hybrid) Duration: 12+ Months Job Summary: We are seeking highly skilled Azure Data Engineer with strong expertise in SQL, Python, Datawarehouse, Cloud ETL tools to join our data team Technical Skills: • Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.), • Proficiency in Azure Cloud Services., • Solid Understanding of Spark and PySpark for big data processing., • Experience in relational databases., • Knowledge on Databricks Asset Bundles and GitLab

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

We are seeking a Senior GenAI Cloud Engineer to build and deploy enterprise-scale AI solutions that drive intelligent automation, conversational experiences, and business process transformation. This is a hands-on engineering role responsible for designing, developing, and delivering production-grade AI applications using modern cloud architectures, large language models, and agentic AI frameworks. You will lead the implementation of specific workstreams end to end, mentor less experienced engineers, and contribute to the architecture and standards used by many engineering teams. The ideal candidate has recent experience building AI agents, chatbots, and RAG-based solutions in enterprise environments. Key Responsibilities • Develop cloud-native applications and microservices using Python and JavaScript/TypeScript, • Build and deploy enterprise AI agents, chatbots, and GenAI-powered applications, • Implement data ingestion, document processing, embedding generation, vectorization, and retrieval pipelines, • Develop intent classification, orchestration, guardrail, and safety capabilities for AI applications, • Integrate LLMs with enterprise systems, APIs, databases, and business workflows, • Contribute to system design, testing, deployment, monitoring, and operational support, • Uphold code quality, security, and observability standards in everything you ship, • Stay current with emerging AI technologies, frameworks, and platform capabilities Leadership, Mentoring & Influence • Lead a workstream: take technical ownership of a defined feature area or service, from design through production support, coordinating a small group of engineers where needed, • Mentor engineers: guide associate and mid-level engineers through code review, pairing, and design feedback; help them build GenAI and cloud skills, • Contribute to architecture: participate actively in design reviews, propose solution options with clear trade-offs, and help shape the patterns and standards the team adopts, • Influence through delivery: partner directly with product owners, architects, and business stakeholders to refine requirements and build credibility through working software, • Improve the team: identify and drive improvements in engineering practices, tooling, reusable components, and documentation; share knowledge through demos and internal write-ups Required Qualifications • 5 to 8 years of software engineering experience, • Strong proficiency in Python and JavaScript/TypeScript, • Experience developing microservices, APIs, and distributed applications, • Hands-on experience with AWS cloud services and cloud-native application development, • Recent experience building enterprise GenAI solutions, including AI agents, chatbots, or RAG applications, • Experience with AWS Bedrock or other enterprise LLM platforms, • Experience with data ingestion, vector databases, embeddings, and semantic search, • Experience implementing AI guardrails, safety controls, intent classification, and routing logic, • Strong understanding of software engineering best practices, application security, scalability, and production operations, • Experience mentoring engineers and leading delivery of a technical workstream Preferred Qualifications • Experience with AWS AgentCore, • Experience with LangGraph, LangChain, or similar agent frameworks, • Experience with model tuning, evaluation, and prompt engineering, • Experience with event-driven architectures and AWS serverless technologies, • Experience delivering solutions in financial services, insurance, or other regulated industries

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,400+, and has 60 offices in 20 countries within key global markets. Our challenge We are seeking a highly skilled and experienced Senior Data Engineer specializing in Master Data Management (MDM) to join our data team. The ideal candidate will have a strong background in designing, implementing, and managing end-to-end MDM solutions, preferably within the financial sector. Candidate will be responsible for architecting robust data platforms, evaluating MDM tools, and aligning data strategies to meet business needs. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Iselin, NJ is $140k - $155k/year & benefits (see below). The Role Responsibilities: • Lead the design, development, and deployment of comprehensive MDM solutions across the organization, with an emphasis on financial data domains., • Demonstrate extensive experience with multiple MDM implementations, including platform selection, comparison, and optimization., • Architect and present end-to-end MDM architectures, ensuring scalability, data quality, and governance standards are met., • Evaluate various MDM platforms (e.g., Informatica, Reltio, Talend, IBM MDM, etc.) and provide objective recommendations aligned with business requirements., • Collaborate with business stakeholders to understand reference data sources and develop strategies for managing reference and master data effectively., • Implement data integration pipelines leveraging modern data engineering tools and practices., • Develop, automate, and maintain data workflows using Python, Airflow, or Astronomer., • Build and optimize data processing solutions using Kafka, Databricks, Snowflake, Azure Data Factory (ADF), and related technologies., • Design microservices, especially utilizing GraphQL, to enable flexible and scalable data services., • Ensure compliance with data governance, data privacy, and security standards., • Support CI/CD pipelines for continuous integration and deployment of data solutions. Requirements: • 12+ years of experience in data engineering, with a proven track record of MDM implementations, preferably in the financial services industry., • Extensive hands-on experience designing and deploying MDM solutions and comparing MDM platform options., • Strong functional knowledge of reference data sources and domain-specific data standards., • Expertise in Python, Pyspark, Kafka, microservices architecture (particularly GraphQL), Databricks, Snowflake, Azure Data Factory, SQL, and orchestration tools such as Airflow or Astronomer., • Familiarity with CI/CD practices, tools, and automation pipelines., • Ability to work collaboratively across teams to deliver complex data solutions., • Experience with financial systems (capital markets, credit risk, and regulatory compliance applications). Preferred, but not required: • Familiarity with financial data models and regulatory requirements., • Experience with Azure cloud platforms, • Knowledge of data governance, data quality frameworks, and metadata management. We offer: • A highly competitive compensation and benefits package., • A multinational organization with 60 offices in 20 countries and the possibility to work abroad., • 10 days of paid annual leave (plus sick leave and national holidays)., • Maternity & paternity leave plans., • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)., • Retirement savings plans., • A higher education certification policy., • Commuter benefits (varies by region)., • Extensive training opportunities, focused on skills, substantive knowledge, and personal development., • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses., • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups., • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms., • A flat and approachable organization., • A truly diverse, fun-loving, and global work culture. S YNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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

Full Stack Software Engineer Contract-to-Hire Opportunity with a Leading Financial Services Firm Location: Newark, NJ (Hybrid – 3 Days/Week Onsite) Duration: Contract-to-Hire Pay Rate: Up to $65/hr W2 Employment Type: W2 Only (No Corp-to-Corp) Work Authorization: Must have permanent authorization to work in the United States Candidates: Local Candidates Preferred We are seeking a Full Stack Software Engineer to join a high-performing technology team supporting enterprise retirement and financial services platforms. This role offers the opportunity to work on modern cloud-native applications while contributing to large-scale digital transformation initiatives within one of the world's leading financial institutions . The ideal candidate will bring strong full-stack development experience across modern frontend frameworks, backend technologies, cloud platforms, and DevOps practices. This position offers exposure to innovative technologies, collaborative Agile teams, and highly visible business initiative s. What You Can Expect on a Typical • DayDesign, develop, and maintain enterprise applications using modern software engineering principles and best practi, • cesBuild scalable, secure, and high-performing applications that support critical business functi, • onsDevelop high-quality, maintainable, and well-documented code while adhering to established development standa, • rdsCollaborate closely with product owners, architects, technical leads, designers, and fellow engineers to deliver business-focused soluti, • onsParticipate in technical design discussions and contribute to architecture and implementation decisi, • onsDevelop and enhance responsive user interfaces using modern frontend technolog, • iesBuild and maintain backend services, APIs, and microservices supporting enterprise applicati, • onsWrite and execute unit tests, integration tests, and automated functional te, • stsTroubleshoot and resolve issues identified through testing, production support, or monitoring activit, • iesContribute to Agile ceremonies, sprint planning, backlog refinement, and continuous improvement initiati, • vesIdentify opportunities to leverage emerging technologies and innovative approaches to solve business challen, • gesSupport cloud-based application deployment, monitoring, and operational excelle nce Required Qualificat • ionsStrong hands-on experience developing modern web applications using Reac, • t.jsExperience with React Hooks, state management, component-based architecture, and responsive UI develop, • mentSolid backend development experience using Node.js and frameworks such as Express.js or Ne, • stJSStrong proficiency with JavaScript and TypeScript across frontend and backend develop, • mentExperience designing, developing, and integrating RESTful APIs and GraphQL serv, • icesExperience building and supporting microservices-based architect, • uresHands-on experience with AWS cloud services includ, • ing, • :E, • C2S3API Gat, • ewayLa, • mbdaExperience with containerization technologies, including Do, • ckerExperience deploying applications to AWS ECS or EKS environm, • entsExperience building and maintaining CI/CD pipelines and automated deployment proce, • ssesUnderstanding of cloud infrastructure concepts, includ, • ing:, • VPC, • sIAMLoad Balan, • cersAuto Sca, • lingExperience with relational and NoSQL databases such as PostgreSQL and Mon, • goDBKnowledge of database design, query optimization, and performance tu, • ningExperience with monitoring, logging, and observability tools such as CloudW atch Additional Technical Experience Pref • erredExperience with Java develo, • pmentExperience with Spring, • BootExperience with Python develo, • pmentFamiliarity with enterprise-scale distributed sy, • stemsExperience working in highly regulated environments such as financial services, banking, or insu rance Soft Skills & Professional Attr • ibutesStrong analytical and problem-solving abi, • litiesExcellent communication and collaboration, • skillsAbility to work effectively in cross-functional Agile, • teamsStrong attention to detail and commitment to code q, • ualityDemonstrated passion for continuous learning and professional devel, • opmentAbility to balance technical excellence with business obje ctives Why Consider This Oppor • tunity?Contract-to-hire opportunity with a leading financial services organ, • izationWork on enterprise-scale digital transformation init, • iativesModern technology stack including React, Node.js, AWS, Docker, and Micros, • ervicesExposure to innovative cloud-native development pr, • acticesCollaborative engineering culture focused on learning, growth, and technical exc, • ellenceStrong long-term career potential within a stable and growing organ ization

Please share your resume to shashi.raj@yoh.com Sr. Java Full Stack Engineer with Trading experience Remote within the U.S. W2 Only We can provide visa sposorship for the right candidate • Extensive hands-on experience (10+ years) in software design and development, with expertise in Java, Spring API development, and Linux., • Strong understanding of fixed protocols and low latency messaging systems such as Kafka.Expertise in Java, Python, and Linux.Collaborate with internal and external teams to deliver robust, end-to-end trading workflows., • Lead performance tuning and optimization efforts across the platform., • Deep experience with low latency messaging systems (e.g., 29West, Kafka), • Proficiency in KDB+ or other time-series databases., • Strong background in building scalable, distributed, asynchronous, and event-driven applications., • Advanced knowledge of low latency design patterns and performance optimization techniques., • Experience with Capital Markets or Brokerage systems, especially order management., • Solid understanding of the FIX protocol and FIX engines., • Worked with AI developer assist tools (e.g. GitHub Copilot)., • Experience with CI/CD tools such as GitHub, Maven, Jenkins, Artifactory, and uDeploy., • Hands-on experience deploying applications to AWS or other cloud platforms. Estimated Min Rate: $59.50 Estimated Max Rate: $85.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs, • Certification and training opportunities Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply. Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit https://www.yoh.com/applicants-with-disabilities to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice Stay Safe During Your Job Search Fraudulent recruiting communications have become increasingly common. Emails from Yoh recruiters will only come from an @yoh.com email address. Yoh will never ask candidates to pay fees, purchase equipment, send gift cards, or transfer funds as part of the recruiting or hiring process. If you receive a communication that appears suspicious or requests payment, contact Yoh directly before responding or sharing personal information.

Senior Data Governance Consultant – Informatica CDGC Hybrid Onsite · Newark, NJ · 3 Days Per Week onsite Rate is Open. C2C is fine. About the Role We're seeking a senior consultant with expert-level Informatica CDGC skills to scan, catalog, govern, and publish a complex data estate spanning relational, NoSQL, API, and event-driven source systems. A significant portion of this work involves non-SQL sources (MongoDB, AWS DocumentDB) where Informatica has no native connectors, requiring a resourceful engineer who can assess available tooling and implement a viable ingestion solution. The consultant will also stand up Data Products in Informatica. What You'll Do • Design and execute metadata scanning across relational, NoSQL, API, and event-driven source types into Informatica CDGC, • Implement viable scanning solutions for MongoDB and AWS DocumentDB using Informatica tooling, ingestion APIs, and scripted extraction, • Catalog REST APIs and microservices as governed assets; integrate event-driven sources (Kafka, AWS Kinesis/SQS) for lineage tracking, • Configure connections across Oracle, MS SQL Server, PostgreSQL, AWS S3, and NoSQL platforms, • Build and validate end-to-end data lineage from source systems through AWS S3, Microsoft Fabric, and Power BI, • Define and publish Data Products in Informatica Marketplace for governed, consumable asset delivery, • Support curation workflows: classification, glossary association, profiling, and stewardship alignment, • Troubleshoot scanning failures, connectivity issues, and metadata quality gaps, • Document all configurations, ingestion approaches, lineage patterns, and Data Product definitions for team knowledge transfer Required Skills & Experience • Informatica CDGC — expert-level; hands-on production experience with scanning, cataloging, lineage, classification, and Data Products, • Informatica Profiling — hands-on experience running and interpreting data profiling to assess data quality, completeness, and patterns across scanned assets, • Informatica Data Products & Marketplace — defining, publishing, and managing data products, • NoSQL scanning solutions — proven ability to implement metadata ingestion for sources without native Informatica connectors, • Non-SQL databases — MongoDB and AWS DocumentDB: schema structures, connection methods, metadata extraction, • API scanning — cataloging REST APIs and microservices as governed assets in Informatica CDGC, • Event processing — integrating Kafka, AWS Kinesis, or equivalent into a data catalog for lineage and governance, • Data engineering — strong Python and/or Java for scripting and ingestion work, • Relational databases — Oracle, MS SQL Server, PostgreSQL, • Cloud platforms — AWS (S3, DocumentDB, Kinesis), Microsoft Azure, • Data governance concepts — catalog management, classification, glossary, stewardship workflows Nice to Have • Microsoft Fabric or Power BI lineage integration, • Atacama RDM or Denodo experience, • Financial services or insurance industry background, • Informatica CDI experience

Akkodis is seeking Database Security Engineer for a Contract job with a client in Plano, TX/ Jersey City, NJ/Charlotte, NC - Hybrid (3 days on site in a Week). Ideally looking for applicants with a solid background in the financial services industry. Focus is enterprise database platforms and security Overview of Role Senior Database Security Engineer Focus on: • Automation, • Integration, • Platform engineering, • Cloud database security, • This is not project-based work, • Ongoing engineering and automation across environments What HM Is Actually Looking For • Senior candidates who can step in and take ownership, • Strong Python + database + cloud combination Engineers who are: • Independent, • Hands-on, • Able to work in existing systems Core Skills Required • 10+ years experience, • Strong database background, • SQL Server and/or Postgres preferred, • Oracle is helpful, • Python (must have), • Cloud experience, • AWS (RDS), • Azure, • Linux + shell scripting, • REST APIs Database Security Requirements • Audit logging, • Encryption (in transit and at rest), • Identity and access management, • Entitlements, • Password vaulting Nice to Have • Guardium or similar database activity monitoring tools, • PowerShell, Ansible, • CI/CD (GitHub, pipelines), • Jira, Horizon, • Exposure to newer automation tools (Copilot, etc.) If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, please contact Aditya Singh at aditya.singh@akkodisgroup.com Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit _. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance

About the role We are looking for a hands-on AWS DevOps Lead to own and evolve our cloud platform and lead a blended onsite and offshore team of 5–10 engineers. You will set the vision and roadmap for AWS infrastructure, DevOps, and CI/CD, while staying technical enough to design, build, and troubleshoot the platform yourself. As part of the Platforms & Engineering team, you will partner with IT stakeholders to cloud-enable their systems, keep our AWS environment secure and well governed, and make sure the team delivers reliably. This role suits a leader who is equally comfortable whiteboarding a multi-account network design, reviewing a pipeline, and running a team stand-up. Key responsibilities Leadership and vision • Define the vision, roadmap, and standards for AWS infrastructure, DevOps, and CI/CD across the Platforms & Engineering team., • Lead, mentor and grow a team of 5–10 FTEs and contractors across onsite and offshore locations., • Plan and assign work, set priorities, track delivery and remove blockers so commitments are met on time., • Build a culture of automation, ownership, documentation and continuous improvement., • Manage contractor and vendor resources, including onboarding, quality of delivery and knowledge transfer. AWS infrastructure and architecture • Design, build and maintain secure, scalable and cost-effective AWS environments using services such as EC2, ECS/EKS, Lambda, S3, RDS, IAM, CloudWatch and CloudFormation., • Own the AWS network architecture: VPC design, subnets, routing, Transit Gateway, VPC peering, PrivateLink, Direct Connect / site-to-site VPN, DNS (Route 53), load balancing, and hybrid connectivity., • Drive Infrastructure as Code (Terraform/Terragrunt and/or CloudFormation/CDK) as the standard for all provisioning., • Hands-on experience authoring Terraform modules from scratch, not just consuming existing ones., • Lead multi-account strategy and governance using AWS Organizations, Control Tower, and landing zone patterns., • Ensure high availability, disaster recovery, backup, and resilience of cloud workloads., • Monitor and optimize cloud spend through tagging, rightsizing and FinOps practices. DevOps, GitHub and CI/CD • Own GitHub administration: organizations, repositories, branching strategy, access controls and GitHub Actions., • Design and maintain CI/CD pipelines that deliver fast, repeatable and secure releases., • Standardize build, test, deployment, and release practices across teams., • Implement observability: monitoring, logging, alerting, and incident response runbooks. Cloud security • Embed security in every layer of the AWS platform, working with the Cybersecurity team., • Implement and manage IAM least-privilege, SCPs, KMS encryption, Secrets Manager, Security Groups, and NACLs., • Use AWS security services such as GuardDuty, Security Hub, AWS Config, CloudTrail, Inspector, and WAF., • Integrate DevSecOps practices into pipelines, including code, dependency, container and IaC scanning., • Support audits, compliance requirements and remediation of security findings. Stakeholder partnership • Work closely with IT stakeholders and application owners to migrate, cloud-enable, and support their systems on AWS., • Translate business and application needs into infrastructure designs, estimates, and delivery plans., • Communicate status, risks, and roadmap clearly to senior leadership and partner teams. Required qualifications • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience., • 10+ years in infrastructure, cloud, or DevOps engineering, with 5+ years of hands-on AWS experience., • 3+ years leading technical teams, including managing contractors and onsite/offshore delivery., • Deep expertise in AWS networking: VPC design, Transit Gateway, hybrid connectivity, DNS, and routing., • Strong hands-on experience with core AWS compute, storage, database, and serverless services., • Proven experience with Infrastructure as Code (Terraform/Terragrunt, CloudFormation, or CDK)., • Strong background in GitHub administration, GitHub Actions, and CI/CD pipeline design., • Solid knowledge of AWS security services, IAM, and cloud security best practices., • Scripting skills in Python, Bash, or PowerShell., • Experience with containers and orchestration (Docker, ECS and/or EKS)., • Excellent communication skills and the ability to influence technical and non-technical stakeholders., • Exposure to FinOps practices and cloud cost management tools. Preferred qualifications • Experience with Amazon Bedrock and integrating generative AI services into enterprise platforms and applications., • Familiarity with AI/ML infrastructure on AWS, such as SageMaker, vector stores, and secure model access patterns., • AWS certifications such as Solutions Architect – Professional, DevOps Engineer – Professional, Advanced Networking – Specialty, or Security – Specialty., • Experience in regulated industries such as financial services or insurance., • Knowledge of security and compliance frameworks such as NIST, CIS Benchmarks, SOC 2 or ISO 27001.

Job Title: Quant Developer Duration: 18 Month W2 Contract Location: Jersey City, NJ Required Pay Scale: $65-$70/hour Senior Quantitative Risk Engineer / Risk Analytics Developer We are seeking a senior Quantitative Risk Engineer to support the development and enhancement of Fixed Income, Financing, and Risk Analytics platforms. The ideal candidate combines strong capital markets knowledge with hands-on quantitative engineering and analytical problem-solving skills. Mandatory Skills Capital Markets & Risk • 10+ years of experience in quantitative development, risk analytics, or front-office risk technology., • Strong knowledge of: o Repo / Reverse Repo o Government and Corporate Bonds o Interest Rate Derivatives o Total Return Swaps (TRS) o Fixed Income and Financing products • Strong understanding of: o Risk and exposure calculations o Bond pricing and yield curves o DV01/PV01 and interest rate sensitivities o Funding and financing risk o Scenario analysis and stress testing Python & Analytics • Strong Python development skills with experience using analytical libraries., • Experience building analytical tools, risk calculations, data controls, or reconciliation frameworks., • Strong data analysis, troubleshooting, and numerical investigation skills. Trade Lifecycle Knowledge • Good understanding of the end-to-end trade lifecycle for Fixed Income and Derivatives products, including trade capture, lifecycle events, valuation, risk generation, P&L, settlement, and collateral processes., • Understanding of how trade lifecycle events impact risk, valuation, and downstream reporting. Key Responsibilities • Investigate unexplained risk, valuation, exposure, and P&L movements., • Reconcile differences across trading, risk, and finance systems., • Perform root-cause analysis of incorrect or unexpected calculations., • Analyze the impact of market data, curves, trade amendments, lifecycle events, and booking issues on risk calculations., • Partner with traders, desk quants, risk managers, finance, and technology About Matlen Silver Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works. Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at: info@matlensilver.com // 908-393-8600 At The Matlen Silver Group, Inc., W2 employees are eligible for the following benefits: • Health, vision, and dental insurance (single and family coverage), • 401(k) plan (employee contributions only)

Junior AI Engineer Optomi, in partnership with a leading technology innovator, is seeking a Junior AI Engineer for an exciting opportunity in Jersey City, NJ! This role is ideal for a software engineer with a strong Python development background and hands-on experience building LLM applications, including prompting, tool calling, and Retrieval-Augmented Generation (RAG). The right candidate will work on innovative projects involving embeddings, vector search, and retrieval pipelines while leveraging OpenTelemetry to enhance application observability. This is a great opportunity to gain hands-on experience with emerging AI technologies while contributing to impactful projects! What the right candidate will enjoy! • The opportunity to work on innovative projects involving LLM applications and emerging AI technologies!, • Collaborating with a dynamic team on cutting-edge machine learning and data retrieval projects!, • Hands-on experience developing and optimizing retrieval pipelines, embeddings, and vector search!, • A 6-month contract opportunity with a strong likelihood of extension! Experience of the right candidate: • 3+ years of experience in software development., • Proficiency in Python., • Experience with LLM applications (prompting, tool calling, RAG)., • Knowledge of embeddings/vector search., • Familiarity with retrieval pipelines and evaluations., • Understanding of OpenTelemetry. Responsibilities of the right candidate: • Develop and optimize retrieval pipelines., • Implement and evaluate embeddings and vector search methodologies., • Enhance observability through OpenTelemetry integration., • Work on LLM applications involving prompting, tool calling, and RAG., • Collaborate with a dynamic team on innovative projects involving machine learning and data retrieval.

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.

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

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 _.

MatchPoint Solutions is a fast-growing global IT and Engineering services firm delivering innovative technology solutions to leading enterprises including Uber, Robinhood, Netflix, Airbnb, Google, and more. With a growing international presence across North America, Europe, Asia, and South America, we help organizations turn ideas into outcomes through cutting-edge technology, industry best practices, and deep technical expertise. We’re expanding our team and looking for driven professionals who want to build impactful solutions in a collaborative, high-growth environment. Lead Infrastructure Engineer - Hardware and Systems Engineer 5 days a week on site, in Jersey City OR Houston TX 12 months Contract Pay $70 to 80/hr From speaking with the hiring manager this should be the focus of what we are looking for. 1. Hands-on Linux and driver expertise (top priority) All tooling runs on Linux: performance benchmarking, automation and the racks. Admin basics such as file systems and services are not enough. We need engineers who can: • handle new hardware whose driver is not in the OS: inject the driver, work around the gap and follow the right process. • work in an in-memory OS. Racks boot an image and roughly 95% of work happens off the physical layer. • load and unload drivers without rebooting, and install RPMs on a running in-memory system., 2. Scripting and automation • Comfortable with Bash (required). • At least basic Python; strong Python is ideal. Automation is not overly complex, but a solid Python engineer adds value., 3. Strong hardware engineering knowledge Deep server hardware knowledge, especially for the ODM program now moving forward. Nice to have • OpenBMC and Redfish: Configuring OpenBMC, using Redfish and knowing OpenBMC standards. ODMs ship with OpenBMC, which differs from HPE iLO and Dell iDRAC., • AMI BIOS: All team BIOS is American Megatrends (AMI)., • ODM platform experience: Gigabyte, MiTAC, Sanmina or Wistron, or similar open-platform work. OpenBMC plus AMI experience on other ODMs also qualifies., • Join a high-performing team delivering infrastructure and performance excellence at one of the world's largest and most influential companies. As a Lead Infrastructure Engineer within Infrastructure Platforms, you'll apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline, continually growing your technical and cross-functional expertise., • We are seeking a Hardware Engineer for end-to-end design of hardware platforms supporting our internal cloud environments. This role blends deep mechanical engineering fundamentals with strong program execution and vendor partnership. The ideal candidate is equally comfortable modeling and testing as they are coordinating cross-functional stakeholders, managing schedules and risk, and handling chassis integration details. If you enjoy turning complex, multi-constraint problems into practical, high-quality hardware designs, this role is for you. Job Responsibilities • Partner with lines of business to capture requirements and translate them into end-to-end system designs. Drive continuous improvement by redesigning or replacing components that fall short of performance, reliability, or cost targets, and plan and execute the retirement of legacy platforms. Leverage working knowledge of board, server, and rack architectures with a strong understanding of datacenter integration. Support the full lifecycle, from prototype builds and lab validation through production release., • Own day-to-day engagement with OEM, ODM, and JDM partners, ensuring tight technical alignment and proactive escalation management. Define milestones, acceptance criteria, and delivery expectations, and hold suppliers accountable for schedule, quality, and delivery commitments across the board and server development lifecycle., • Act as the technical bridge between requirements and shipped solutions across hardware and software stakeholders. Communicate fluently at the hardware layer, including PCIe topology and airflow and liquid-cooling dynamics, and connect design decisions and tradeoffs to network, operating system, and application requirements., • Use enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements., • Apply reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable, auditable, and aligned to resiliency and security expectations. Required Qualifications, Capabilities, and Skills • 5+ years building and improving hardware products, with a mechanical or electrical engineering background., • Strong experience partnering with OEM, ODM, and JDM manufacturers across design, build, and delivery., • Solid understanding of production rack environments spanning networking and compute hardware, plus power delivery and cooling behavior, with the ability to apply thermodynamics in a datacenter context and confidently represent engineering positions in supplier design reviews., • Working knowledge of Open Compute and rack standards tied to heat rejection and voltage delivery., • Familiarity with PCIe, Redfish, and OpenBMC., • Hands-on Linux (Red Hat) server experience, along with Python or strong Bash scripting skills., • Hands-on experience with the Llama API., • Experience owning BOMs and serving as a day-to-day interface with hardware suppliers, aligning cross-functional stakeholders to drive decisions and execution., • Self-directed, pragmatic, and comfortable diving into details, driven by engineering rigor, data-backed decisions, and continuous improvement., • Experience using enterprise-authorized AI tools to support infrastructure engineering workflows, with disciplined validation practices and strong awareness of data sensitivity., • Proven ability to review AI-assisted outputs before implementation, escalate uncertainty appropriately, and ensure outcomes meet resiliency, security, and auditability expectations. Preferred Qualifications, Capabilities, and Skills • Good knowledge of hardware specs. Experience with cloud infrastructure built on physical servers. Experience building automation and certifying servers for internal cloud environments. MatchPoint Solutions is an equal opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants and do not tolerate discrimination or harassment of any kind. Employment decisions are made without regard to race, color, religion, age, sex, national origin, disability, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable federal, state, or local laws. This policy applies to all aspects of employment, including recruitment, hiring, placement, promotion, termination, layoffs, recall, transfers, leaves of absence, compensation, and training.

Immediate need for a talented Reliability Engineer. This is a 06+months contract opportunity with long-term potential and is located in Jersey City, NJ (Onsite). Please review the job description below and contact me ASAP if you are interested. Job ID:26-31166 Pay Range: $55 - $58/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 Requirements and Technology Experience: • 4+ years of experience in Reliability Engineering, SRE, DevOps, Production Engineering, or related roles., • Strong hands-on experience with Observability and Monitoring., • Advanced knowledge of Kusto Query Language (KQL)., • Experience with Azure Monitor, Application Insights, Log Analytics, or Microsoft Sentinel is highly preferred., • Strong understanding of logs, metrics, traces, distributed tracing, and telemetry., • Experience creating dashboards, alerts, queries, and monitoring solutions., • Strong troubleshooting and root-cause analysis skills., • Understanding of SLI, SLO, SLA, error budgets, availability, latency, and reliability metrics., • Experience with cloud environments such as Microsoft Azure, AWS, or GCP., • Knowledge of containers, Kubernetes, APIs, microservices, and distributed systems., • Experience with scripting/automation using PowerShell, Python, Bash, or similar technologies., • Strong communication and incident-management skills. 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, colour, 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 _.

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.

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

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

Job Title: Qualitative Engineer Location: Jersey City, NJ Duration: Contract to Hire. Job Description We are seeking a Qualitative Engineer, Massive-Scale Pricing Engine to join our dynamic team. The ideal candidate will have strong experience in Python, distributed systems, cloud/grid computing, and market risk pricing platforms and a proven ability to design, scale, and operate high-performance pricing grids that deliver fast and reliable valuation at enterprise scale. Responsibilities: • Architect, build, and manage a large-scale distributed compute grid on AWS or GCP for financial pricing models., • Design and implement orchestration for distributing millions of pricing tasks across extensive CPU and GPU fleets., • Deploy, manage, and version a library of quantitative pricing models for optimal performance in distributed environments., • Monitor and optimize performance, cost, and resource utilization to drive continuous efficiency gains., • Collaborate with quantitative development teams to integrate new and updated models into production workflows., • Engineer robust data logistics to deliver market data, trade data, and configurations at runtime., • Ensure high availability, resiliency, and adherence to recovery time objectives for the pricing engine. Required Skills & Qualifications: • 10+ years designing, building, and operating applications on large-scale compute grids., • Expert hands-on experience with AWS or GCP, including batch processing, containers, and serverless services., • Deep expertise with Docker and Kubernetes., • Strong programming skills in Python and C++ for high-performance computing., • Background in distributed systems, performance tuning, and infrastructure as code., • Experience with large-scale Monte Carlo simulations, VaR, or XVA pricing grids in financial services is desirable., • Excellent problem-solving skills and the ability to operate in high-pressure environments., • Clear communication skills with stakeholders in quantitative research, trading, and risk. Preferred Skills: • Experience with market risk platforms, grid schedulers, and pricing engines., • Familiarity with cost optimization and observability in large cloud estates.

Please share your resume to suman.dabbeta@yoh.com Suman Dabbeta | Sr. Recruiter | Yoh https://www.linkedin.com/in/sumandabbeta/ local to NJ/NJ/CT only Looking for SME for this role Open for 3rd party resumes - C2C *In-Person interview* Hybird role* Top 5 must haves: Senior Level • Python, • Airflow/DBT, • Communication, both written & Verbal Kubernetes the role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment. Given these requirements, we are looking for someone with deeper, practical experience in DBT and Airflow within Kubernetes-based, on-prem environments. • If background is predominantly on GCP, and while this is valuable, we are currently more conservative with cloud-native platforms. This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup. Contract Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite in Jersey City, NJ Location: Jersey City, NJ // Hybrid: 3 days a week • MUST HAVE HANDS ON Apache Airflow DAG development, dbt Core, Kubernetes, on-prem OpenShift experience MUST HAVE SKILLS • 10+ years of professional experience in data engineering, designing and supporting enterprise-scale data platforms in production environments, • The role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment., • This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup., • Given these requirements, we are looking for someone with deeper, practical experience in dbt and Airflow within Kubernetes-based, on-prem environments. Job Summary: We are seeking a highly skilled Senior Data Engineer with 8-10+ years of hands-on experience in enterprise data engineering, including deep expertise in Apache Airflow DAG development, dbt Core modeling and implementation, and cloud-native container platforms (Kubernetes / OpenShift). This role is critical to building, operating, and optimizing scalable data pipelines that support financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads. The ideal candidate will have extensive hands-on experience in workflow orchestration, data modeling, performance tuning, and distributed workload management in containerized environments. Estimated Min Rate: $56.00 Estimated Max Rate: $80.00 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. 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Jersey City, NJ — Hybrid (3 Days Onsite) Contract to Hire W2 Only — No Third Parties 1 8+ Years Experience Azure Databricks, Python, PySpark, SQL This role is responsible for designing, developing, and deploying cloud data solutions as part of a broader cyber data initiative focused on building out a security and risk data platform for Information Security. The engineer will develop data feeds and contribute to the buildout of a Cybersecurity Data Lake — centralizing data and establishing effective data governance around data sources and lineage using Databricks. This individual will collaborate with developers, data owners, governance leads, and business analysts across IT and aligned application stakeholders. ? Critical Requirements • Financial services or similarly regulated environment experience strongly preferred Responsibilities • Design, develop, test, and support cloud data solutions focusing on data ingestion, data quality, tuning, and performance of upstream cybersecurity data sources using Databricks, • Provide indirect leadership and mentorship to junior team members; lead data feed development efforts and design initiatives, • Participate in development meetings to align priorities and objectives, assign tasks, and share experiences across applications under development, • Consult with technology and development teams to coordinate integration of applications within the broader software ecosystem, • Capture and document metadata for Key Data Elements (KDEs) to ensure accuracy and completeness for Data Quality (DQ) rules and daily dataset processing, • Work with the data architecture team to align KDEs to logical data models, develop physical data structures, and document physical data names, definitions, and types, • Partner with data owners and stakeholders to create technical requirements and DQ rules around data elements needed in the data warehouse, • Partner with Business Management and Data Owners to identify critical metrics and data fields required for metric dashboards, • Establish views to encapsulate data for downstream consumption and ensure alignment with DQ rules established on metadata, • Utilize IBM TWS production job scheduling and adhere to standards around daily scheduling and batch monitoring of production jobs, • Identify and resolve data quality issues including inaccuracies and incomplete information; implement improved procedures and processes Qualifications & Skills Azure & Cloud Platform Azure Databricks & Unity Catalog Azure Data Factory Azure Data Lake Storage Azure Functions Azure Event Grid Azure Log Analytics & Monitor Development & Data Engineering Python / Java SQL Server, Oracle / PL-SQL, T-SQL ETL / ELT REST API & Microservices CI/CD — Git, Jenkins, Azure DevOps Collibra DQIM/DQE, IBM Infosphere DA Security Domain & Compliance • Strong knowledge of enterprise Information Security data domains: Phishing, Identity Management, Privileged Access, Cloud Security, Incident Response, Vulnerability Management, and Threat Detection, • Data knowledge of PaaS/SaaS products including ServiceNow, CrowdStrike, MS Purview, Proofpoint, WIZ.IO, JIRA, SharePoint, and Azure Active Directory, • Understanding of information security frameworks (NIST, CIS, CRI Profile) and regulatory compliance (NYSDFS, GDPR, CCPA) ? Nice to Have • Knowledge of Microsoft Sentinel for SIEM, • Knowledge of IBM Tivoli Workload Scheduler, • Exposure to Power BI for data visualization and reporting

About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation. #SolvingWhatMatters. We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including: • 3 AWS AI/ML Partner of the Year awards, • 3 NVIDIA Partner of the Year awards, • 3 Snowflake Partner of the Year awards, • Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture. For more details, visit: or Role: Gen AI Architect Experience Level: 7+ years Employment type: Full Time Location: Newark, NJ Job Summary: We are seeking an experienced Senior Machine Learning Engineer to architect, build, and deploy production-grade agentic AI systems and multi-agent workflows from the ground up. The ideal candidate will have deep expertise in designing autonomous AI systems that can collaborate, reason, and execute complex tasks with minimal human intervention. You will be responsible for creating scalable, robust agentic workflows using cutting-edge frameworks like CrewAI/Langraph, while ensuring enterprise-grade deployment on major cloud platforms. Roles & Responsibilities: Agentic System Architecture & Development: • Architect & Build Agentic Systems: Design and develop end-to-end multi-agent systems from scratch. You will create the foundational agent harnesses, define communication protocols, and build orchestration layers using frameworks like CrewAI, Langgraph, and AutoGen. Architectural decisions to ensure:, • Hierarchical and collaborative multi-agent structures with well-defined agent roles, responsibilities, and communication protocols, • Dynamic task decomposition, sophisticated tool integration, planning mechanisms (ReAct), and self-correction loops, • Develop state management systems and memory mechanisms for persistent agent interactions, • Engineer Advanced Agent Capabilities: Develop custom agent-tools and define specialized agent-skills that empower agents to perform complex, domain-specific tasks., • Pioneer Context Engineering: Implement advanced context engineering and memory systems to ensure agents maintain state, learn from interactions, and make informed decisions in dynamic environments., • Deploy Production-Grade Solutions: Own the deployment, scaling, and maintenance of robust, low-latency agentic systems on major cloud platforms (GCP, AWS, or Azure). You will implement best-in-class MLOps practices for monitoring, continuous integration/continuous deployment (CI/CD), and system reliability., • Integrate and Optimize LLMs: Integrate LLMs to serve as the core reasoning engines for autonomous agents. You will apply advanced techniques like RAG and PEFT to optimize performance. Tool Development & RAG Integration: • Create and maintain comprehensive tool libraries for agents including API integrations, database queries, and external service connections, • Design and implement RAG systems using vector databases (Pinecone, Weaviate, ChromaDB), • Develop custom tools and plugins that enable agents to interact with various enterprise systems and APIs, • Ensure tool reliability, error handling, and seamless integration within agentic workflows Observability, Monitoring & Evaluation: • Implement comprehensive monitoring and tracing systems for agent behavior, performance, cost optimization, and latency analysis, • Design novel evaluation frameworks to assess multi-step agentic task success, reliability, and accuracy, • Utilize advanced observability tools (LangSmith, Arize AI, or custom solutions) to trace agent decision making processes, • Establish metrics and KPIs for measuring agentic system performance in production environments Basic Qualifications: • 6-8 years of hands on experience in machine learning and AI engineering with proven track record of taking ML systems to production, • Demonstrated expertise in building multi-agent systems and agentic workflows, preferably with Langraph/CrewAI, • Programming & ML: Expert-level Python proficiency with ML frameworks (TensorFlow, PyTorch, Transformers). Experience with FastAPI, async programming, and microservices architecture, • Data & Vector Systems: Hands-on experience with vector databases (Pinecone, Weaviate, ChromaDB) and building scalable RAG systems, • Monitoring & Observability: Experience with LLM application monitoring tools (LangSmith, Weights & Biases, custom telemetry solutions), • Proven ability to architect and implement complex AI systems from scratch in production environments, • Cloud Platform Expertise: Production-level experience with at least one major cloud platform (AWS, GCP, or Azure), including:, • Compute services (EC2, GCE, Azure VMs), • Serverless functions (Lambda, Cloud Functions, Azure Functions), • Container orchestration (EKS, GKE, AKS), • Managed AI/ML services (SageMaker, Vertex AI, Azure ML), • Production & DevOps: Strong skills in Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and containerization (Docker, Kubernetes) Other Qualifications: • Experience with prompt engineering techniques, fine-tuning SLMs (PEFT, SFT, RLHF), and model optimization, • Knowledge of distributed systems, message queues, and event-driven architectures for agent coordination, • Familiarity with SDLC best practices, version control (Git), and agile development methodologies, • Experience with tool-calling agents, multi-step workflows, and stateful orchestration (e.g. graphs, planners, routers)., • Hands-on evals for agents: trajectory / tool-use checks, golden traces, LLM-as-judge with fixed rubrics, regression suites., • Online evals, drift thinking, and clear quality gates before or after deploy (thresholds, alerts, rollback criteria)., • Safety and abuse: prompt injection via tools, untrusted retrieval, PII handling in prompts and logs, allowlists and guardrails., • Cost and latency discipline: budgets per run, timeouts, caps on turns and tool calls., • Model lifecycle: routing / gateway patterns, version pinning, fallbacks, and which model for which step., • Memory and state: what is persisted, retention, redaction, and what must never be stored What is in it for you: • Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale., • Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges., • Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents., • Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.

Immediate need for a talented MLOps Engineer. This is a 06+months contract opportunity with long-term potential and is located in Jersey City ,NJ(Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID:26-31522 Pay Range: $50 - $60/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: • Build and manage ML pipelines using Python, Spark, Databricks, and MLflow, • Manage model registration, versioning, and promotion from development to UAT and production, • Support model deployment and serving on Kubernetes and AWS EKS, • Implement CI/CD automation for ML pipelines and model releases, • Monitor deployed models for drift and maintain evidence required for model risk management Key Requirements and Technology Experience: • 3+ years of experience in MLOps or related field, • Proficiency in Python, Spark, Databricks, and MLflow, • Familiarity with Kubernetes and AWS EKS, • Experience with CI/CD automation for ML pipelines Our client is a leading Airlines & Aviation 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, colour, 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 _.

Location: Charlotte, NC/ Dallas, TX Note: Experience in Salesforce is must. Must Have Technical/Functional Skills: Primary skills: Lightning Experience, Sales/Service Cloud, FSC, Hands-on proficiency with Selenium WebDriver, often paired with TestNG, JUnit, or Cucumber, Java/ Python, Git, Azure DevOps, and CI/CD workflows Experience: Minimum 8+ years Roles & Responsibilities A Salesforce QA Automation Engineer specializing in Selenium is responsible for designing and maintaining automated testing frameworks to ensure the stability of complex Salesforce environments. Job Summary: We are seeking a Salesforce QA Automation Engineer to lead the development of automated test scripts for our Salesforce ecosystem. You will focus on improving test coverage, reducing manual regression efforts, and ensuring seamless integration between Salesforce (Sales/Service/Health Clouds) and external systems. Key Responsibilities: · Framework Development: Design, build, and maintain robust Selenium-based automation frameworks from scratch, typically using Java or Python. · Test Execution: Automate critical business flows including login, lead conversion, and record creation within the Salesforce Lightning UI. · Integration & API Testing: Validate complex integrations using REST/SOAP APIs, middleware, and ETL tools. · CI/CD Integration: Integrate automated test suites into DevOps pipelines using tools like Azure DevOps (ADO) or Jenkins to enable continuous quality gates. · Defect Management: Perform root-cause analysis on failures, conduct defect triage, and collaborate with developers to ensure timely closures. · Agile Collaboration: Participate in sprint planning, provide feedback on technical design documents, and support User Acceptance Testing (UAT).

Optomi, in partnership with a technology-driven company, is looking for a Machine Learning Deployment Engineer. The ideal candidate will have over 5 years of experience, focusing on deployment and machine learning activities. The role emphasizes the use of Python, Databricks/MLflow pipelines, and model registry. Candidates will be responsible for CI/CD promotion, EKS serving, drift monitoring, and providing model-risk evidence. What the right candidate will enjoy: • Working on cutting-edge machine learning deployment projects., • Utilizing advanced technologies like Databricks and MLflow., • A dynamic and challenging work environment. What type of experience does the right candidate have: • Proven track record with Python and machine learning deployment., • Extensive experience with Databricks/MLflow pipelines., • Strong understanding of CI/CD processes and EKS serving. What the responsibilities are of the right candidate: • Implementing and maintaining machine learning models., • Ensuring robust CI/CD promotion and drift monitoring., • Managing model registry and producing model-risk evidence.

Lead MLSecOps Engineer Jersey City, NJ - (Hybrid schedule 3 days in office) Contract to Hire About the Role We are looking for a heavy-hitting, hands-on Lead Software Engineer with a strong hybrid background in Backend Python Development and DevOps Automation. Key Responsibilities Build & Scale: Drive the engineering, feature development, and architectural scaling of our core internal AI Security Platform from its current early phase to enterprise maturity. Pipeline Integration: Standardize and secure the deployment of containerized AI applications and infrastructure across the software development life cycle. GenAI & Agent Governance: Implement controls, orchestrations, and integration patterns around LLMs and autonomous AI coding assistants (such as GitHub Copilot and Claude) used across the enterprise. End-to-End Ownership: Take full technical ownership of features—from brainstorming solutions and prototyping to production deployment and defending architectural choices to leadership. Cross-Functional Communication: Collaborate closely with engineering teams to clearly explain, document, and present technical concepts, security strategies, and platform capabilities. Required Technical Stack & Experience Core Software Engineering: 8+ years of total IT experience, with a minimum of 5+ years in dedicated, hands-on software development roles prioritizing clean backend programming. Primary Language: Professional mastery of Python (building modular services, tools, or automation frameworks). DevOps Environment: Heavy production experience orchestrating continuous integration and container delivery environments using Jenkins, Docker, and Kubernetes (K8s). GenAI / LLM Engineering: Hands-on exposure to Generative AI projects within the past year. Deep familiarity with LLM APIs, prompt engineering, framework orchestration, or integrating developer-focused AI tools. Independent Execution: Proven track record of operating independently to solve architectural problems with minimal hand-holding. Communication: Exceptional verbal and written English communication Pay Range: $80 - 95/hr basis experience, location and other factors

Please contact Renu Goel 857-207-2676 renu.goel@yoh.com local to NJ Top 5 must haves: Senior Level • Python, • Airflow/DBT, • Communication, both written & Verbal Kubernetes the role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment. Given these requirements, we are looking for someone with deeper, practical experience in DBT and Airflow within Kubernetes-based, on-prem environments. • If background is predominantly on GCP, and while this is valuable, we are currently more conservative with cloud-native platforms. This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup. Contract Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite in Jersey City, NJ Location: Jersey City, NJ // Hybrid: 3 days a week • MUST HAVE HANDS ON Apache Airflow DAG development, dbt Core, Kubernetes, on-prem OpenShift experience MUST HAVE SKILLS • 10+ years of professional experience in data engineering, designing and supporting enterprise-scale data platforms in production environments, • The role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment., • This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup., • Given these requirements, we are looking for someone with deeper, practical experience in dbt and Airflow within Kubernetes-based, on-prem environments. Job Summary: We are seeking a highly skilled Senior Data Engineer with 8-10+ years of hands-on experience in enterprise data engineering, including deep expertise in Apache Airflow DAG development, dbt Core modeling and implementation, and cloud-native container platforms (Kubernetes / OpenShift). This role is critical to building, operating, and optimizing scalable data pipelines that support financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads. The ideal candidate will have extensive hands-on experience in workflow orchestration, data modeling, performance tuning, and distributed workload management in containerized environments. Estimated Min Rate: $56.00 Estimated Max Rate: $80.00 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. 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Lead Full Stack Engineer (AI) - Hybrid Jersey City Job responsibilities • Lead the design, development, and delivery of full stack AI-enabled applications and Conversational AI., • Provide technical leadership across frontend, backend, API, database, and AI integration workstreams., • Architect scalable, maintainable, and secure solutions using React, Python, Java, REST APIs, GraphQL, and database technologies., • Guide the implementation of AI agents, AI workflows, RAG and intelligent automation capabilities., • Establish and promote engineering best practices, including clean code, reusable components, automated testing, CI/CD, and design patterns., • Drive integration with relational and non-relational databases, including SQL, Oracle, ElasticSearch and MongoDB., • Collaborate with Agile SCRUM teams through sprint planning, backlog refinement, daily standups, demos, and retrospectives., • Stay current with emerging AI, GenAI, full stack, and cloud-native engineering trends, and assess practical adoption opportunities., • Experience with message queues, streaming platforms, pub/sub models, or event-driven architectures., • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team., • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Required qualifications, capabilities, and skills • Minimum of 5+ years of full stack application development experience., • Hands-on practical experience delivering system design, application development, testing, and operational stability, • Advanced in REACT and one or more programming language(s), • Proficiency in automation and continuous delivery methods, • Proficient in all aspects of the Software Development Life Cycle, • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.), • Practical cloud native experience ex. AWS, • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security., • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices

Iris's client, the largest Financial client in the USA is looking to hire Crypto Engineer / Blockchain Engineer- Tokenization PLEASE NOTE LOOKING FOR ONLY W2 CANDIDATES Please find below the job details and share your resume if interested, please email your resume at sandeep.goel@irissoftware.com Job Description: Title: Crypto Engineer / Blockchain Engineer- Tokenization Location: Southlake or Austin, TX, San Francisco, CA, Jersey City, NJ (3 days/Week HYBRID) Duration: Long term assignment Job Description Software Engineer, Digital Assets / Tokenization Role Summary Schwab is seeking a Web3 Engineer to help design, build, and scale the next generation of blockchain and tokenization infrastructure. This role will focus on engineering reusable Web3 platform capabilities across smart contracts, token lifecycle services, blockchain connectivity, wallets, custody integrations, transaction orchestration, event indexing, and production-grade distributed systems. This engineer will work across Ethereum/EVM, Hyperledger Besu, Canton/Daml, permissioned blockchains, public blockchains, private/consortium networks, and emerging tokenization protocols. The role requires a hands-on builder who can move from architecture and prototyping into secure, scalable, production ready Web3 infrastructure. Key Responsibilities Web3 Platform Engineering • Design and build reusable Web3 platform services for tokenization, transaction processing, blockchain connectivity, wallet integration, event ingestion, indexing, and token lifecycle management., • Build backend services that interact with blockchain nodes, smart contracts, signing systems, custody platforms, and off-chain systems., • Develop common blockchain abstraction layers that can support multiple networks, including Besu, Canton, Ethereum/EVM, Layer 2 networks, permissioned chains, and future enterprise blockchain platforms., • Build integrations with Hyperledger Besu, Ethereum-compatible networks, and permissioned EVM chains., • Implement blockchain connectivity using JSON-RPC, WebSocket subscriptions, ABI encoding/decoding, event logs, transaction submission, transaction status tracking, and smart-contract queries., • Support engineering patterns for Canton/Daml-based blockchain networks, including validator or participant connectivity, application package lifecycle, transaction authorization, and workflow integration., • Work with Daml application concepts, including DAR package deployment, versioning, installation validation, and application enablement., • Build or integrate services that support Canton-style workflows, institutional transaction authorization, wallet integration, and node connectivity., • Partner with platform, infrastructure, and operations teams to evaluate Canton validator strategies, including self-hosted and provider-operated models where applicable. Smart Contract & Tokenization Integration Engineering • Design, develop, integrate, and review smart contracts for tokenized asset and programmable workflow use cases., • Work with Solidity, EVM token standards, upgradeable contracts, proxy patterns, access-control models, permissioned-token designs, and contract event models., • Build smart-contract interaction layers that manage ABI encoding, calldata construction, transaction simulation, event decoding, and contract state reads., • Establish engineering standards for smart-contract development, testing, deployment, versioning, rollback planning, and production change governance., • Support smart-contract security practices, including threat modeling, static analysis, fuzzing, invariant testing, and secure deployment pipelines. Wallet, Signing & Transaction Orchestration Integration • Integrate with institutional wallet, custody, signing, and authorization platforms that support tokenized asset workflows., • Design transaction orchestration workflows covering request validation, policy checks, approval routing, signing, submission, confirmation tracking, retries, exception handling, and audit logging., • Support address or account registration, transaction limits, allowlists, signing policies, approval workflows, an operational controls. Required Qualifications • 5+ years of software engineering experience building distributed systems, backend platforms, financial systems, blockchain infrastructure, custody platforms, trading systems, or high-scale transaction systems., • Strong hands-on Web3 engineering experience., • Deep understanding of Ethereum/EVM, including smart contracts, ABI encoding, transaction lifecycle, gas/fee handling, nonce management, logs/events, confirmations, and finality., • Experience building backend services that interact with blockchain nodes, wallets, smart contracts, signing systems, or custody platforms., • Experience with JSON-RPC, WebSocket subscriptions, blockchain event indexing, smart-contract integration, transaction monitoring, and blockchain data models., • Strong understanding of wallet infrastructure, transaction signing, address management, custody concepts, and key-management patterns., • Strong backend engineering skills in one or more languages such as Java, Go, Kotlin, TypeScript, Rust, Python, or C++., • Experience with APIs, microservices, event-driven architecture, messaging systems, cloud-native engineering, and production operations., • Ability to independently own complex engineering problems from design through production delivery., • Experience with Canton, Daml, validator/participant concepts, DAR deployment, or institutional blockchain workflows. Preferred Qualifications • Experience with Hyperledger Besu, permissioned EVM networks, or private blockchain deployments., • Experience with Canton, Daml, validator/participant concepts, DAR deployment, or institutional blockchain workflows., • Experience with smart-contract audits, fuzz testing, invariant testing, static analysis, formal verification, or secure smart-contract deployment., • Experience building blockchain indexers, transaction orchestration systems, custody integrations, token lifecycle platforms, or wallet-policy engines., • Experience with token standards such as ERC-20, ERC-721, ERC-1155, ERC-1400, ERC-3643, or other permissioned-token frameworks., • Experience building systems in regulated, security-sensitive, or high-value transaction environments., • Relevant blockchain certifications or training are a plus, including Besu training/certification and Digital Asset Daml/Canton-related certification paths Best Regards, Sandeep Goyal Address: 200 Metroplex Dr. Edison, NJ 08817 Cell: 732.426.8546 Email: sandeep.goel@irissoftware.com | _

Senior CyberArk Engineer / Technical Lead Location: Newark, NJ Work Arrangement: Hybrid – approximately 3 days onsite per week Employment Type: 12+ Month Contract-to-Hire Position Overview Our client is seeking a Senior CyberArk Engineer / Technical Lead to join their large enterprise cybersecurity and identity transformation program. This is a hands-on technical leadership role responsible for engineering, implementing, administering, troubleshooting, and continuously improving a large-scale CyberArk Privileged Access Management (PAM) environment. The ideal candidate will bring deep, enterprise-level CyberArk expertise and the ability to operate at both the engineering and technical-leadership levels. This person will work directly in the CyberArk platform, lead complex implementations, troubleshoot challenging PAM issues, establish engineering standards, mentor other engineers, and help shape the future direction of the organization's PAM capabilities. This is not a purely architectural, governance, or strategy role. The successful candidate must be comfortable working hands-on in CyberArk and driving technical initiatives from design through implementation and operational support. Key Responsibilities • Design, configure, implement, administer, maintain, and troubleshoot CyberArk PAM solutions across a large enterprise environment., • Lead the onboarding, management, and lifecycle administration of privileged accounts, service accounts, applications, servers, databases, and other privileged assets., • Configure and manage CyberArk components, including Enterprise Password Vault (EPV), Privileged Session Manager (PSM), Privileged Account Security (PAS), safes, platforms, policies, authentication methods, and access workflows., • Troubleshoot complex CyberArk, privileged-access, authentication, and session-management issues and provide hands-on technical support to engineering and security teams., • Lead complex PAM implementations, integrations, migrations, upgrades, and enhancements through completion., • Establish and maintain CyberArk engineering standards, configuration guidelines, operational procedures, and best practices., • Serve as a senior technical escalation point for complex CyberArk and privileged-access issues., • Provide technical leadership, mentoring, and guidance to junior and mid-level CyberArk engineers., • Partner with IAM, Information Security, Infrastructure, Application, Cloud, Network, Database, and Operations teams to implement and support privileged-access solutions., • Collaborate with SailPoint/IGA and SSO teams to integrate privileged access with identity governance, authentication, certification, and access-management processes., • Develop and implement opportunities for automation, scalability, security improvements, and operational efficiency using scripting, APIs, and other engineering approaches., • Participate in CyberArk architecture and design discussions while remaining actively involved in hands-on implementation and engineering., • Help define and execute the technical roadmap for the organization's CyberArk/PAM environment., • Support security incidents, root-cause analysis, remediation, and investigations involving privileged accounts and access., • Develop and maintain technical documentation, including architecture diagrams, configurations, implementation procedures, operational runbooks, and troubleshooting guides., • Evaluate new CyberArk capabilities and recommend improvements based on enterprise security and operational requirements. Required Qualifications • 7+ years of experience in cybersecurity, identity and access management, privileged access management, or infrastructure engineering., • 5+ years of hands-on CyberArk experience in a large enterprise environment., • Deep experience implementing, configuring, administering, upgrading, and troubleshooting CyberArk PAM., • Demonstrated experience with large-scale privileged account and service-account onboarding., • Strong understanding of Privileged Access Management, identity security, authentication, authorization, credential management, session management, and least-privilege principles., • Hands-on experience supporting privileged access across enterprise servers, applications, databases, infrastructure, and service accounts., • Experience troubleshooting complex CyberArk and PAM issues independently, including the ability to perform root-cause analysis., • Demonstrated ability to lead technical implementations and initiatives from design through production., • Experience mentoring engineers and providing technical direction within an engineering team., • Strong communication and collaboration skills, with the ability to work effectively with both technical teams and senior stakeholders. Preferred Qualifications • CyberArk certifications such as Defender, Sentry, or Trustee., • Experience with SailPoint IdentityIQ/IdentityNow or other enterprise IGA platforms., • Experience with enterprise IAM and SSO platforms., • Experience integrating CyberArk with Active Directory, LDAP, SSO, MFA, SIEM, ticketing platforms, and other enterprise security technologies., • Strong experience with CyberArk Enterprise Password Vault (EPV), Privileged Session Manager (PSM), and related PAM capabilities., • Experience with CyberArk upgrades, migrations, disaster recovery, high availability, and enterprise-scale deployments., • Experience developing automation using PowerShell, Python, REST APIs, or similar technologies., • Experience working in large, complex, highly regulated, or critical-infrastructure environments., • Experience supporting OT/ICS/SCADA environments., • Experience developing and executing multi-year CyberArk/PAM technical roadmaps., • Previous experience serving as a CyberArk technical lead or senior engineering lead.

Village Super Market Is Hiring: Business Intelligence (BI) Engineer role open Build trusted data products that help retail leaders make faster, smarter decisions. About Village Super Market: For more than 80 years, Village Super Market has served communities throughout the tri-state area with a commitment to quality, service, and care. As a growing, entrepreneurial organization, we combine our proud history with forward-thinking strategies that protect our people, strengthen our operations, and position the company for continued success. About the Role: The Business Intelligence (BI) Engineer will support NY Fairway & GG Leadership by delivering trusted data, reporting, and analytics solutions that enhance operational visibility and enable informed business decisions. This role will design and develop scalable processes to ingest, integrate, and transform data from SAP ERP, retail enterprise systems, SaaS applications, APIs, and other operational platforms into analytics-ready datasets within Google BigQuery. The BI Engineer will also play a key role in advancing self-service analytics and reporting through ThoughtSpot, ensuring business leaders and stakeholders have access to reliable, actionable insights. The ideal candidate brings strong SQL and Python development skills, along with hands-on experience in cloud data engineering, API integrations, dimensional data modeling, and modern data warehousing practices. What You’ll Do: • Design, build, and maintain scalable batch and streaming data pipelines that bring information from SAP ERP, SaaS applications, REST APIs, on-premises databases, and other enterprise systems into Google Cloud., • Develop automated Python- and SQL-based ELT/ETL workflows that transform source data into reliable, analytics-ready datasets in Google Cloud Storage and BigQuery., • Create and optimize BigQuery staging, curated, semantic, and dimensional data models, using partitioning, clustering, and cost-efficient query design to improve performance., • Build trusted datasets and semantic structures for ThoughtSpot, dashboards, enterprise reporting, self-service analytics, and downstream AI initiatives., • Partner with Fairway Market and Gourmet Garage leadership and teams across Retail, Merchandising, Finance, Loss Prevention, Operations, and IT to translate business needs into scalable data and analytics solutions., • Automate workflow orchestration, monitoring, alerting, and recurring data processes using GCP-native services such as BigQuery Scheduler, Cloud Functions, Cloud Tasks, and Cloud Composer., • Strengthen data quality and governance by validating calculations and reporting outputs, monitoring data consistency, maintaining technical documentation, and supporting metadata and enterprise data standards. What You Bring: • Bachelor’s degree in Accounting, Finance, Data Engineering, Computer Science, or equivalent professional experience., • At least five years of experience in BI development or data engineering., • Advanced SQL skills, including complex joins, aggregations, window functions, common table expressions, and query optimization., • Hands-on Python experience for API ingestion, scripting, automation, and data processing., • Experience building ETL/ELT pipelines, REST API integrations, JSON-based ingestion, and dimensional data models., • Practical experience with Google Cloud Platform, BigQuery, and Google Cloud Storage., • Strong communication and collaboration skills, with the ability to connect technical solutions to business outcomes. Preferred Experience: • ThoughtSpot, Tableau, Power BI, MicroStrategy, or comparable enterprise BI platforms., • Retail data, SAP ERP ingestion, ThoughtSpot Data Modeler, or BigQuery Data Transfer Service., • Cloud Functions, Cloud Tasks, Cloud Composer/Airflow, Dataflow, or Data Fusion., • Medallion architecture, CI/CD for data pipelines, or a Google Cloud certification such as Professional Data Engineer Why Join Village Super Market? • A family-led culture centered on people, growth, and development., • A highly visible leadership role with a direct impact on customer trust, associate safety, regulatory compliance, and operational performance., • An entrepreneurial environment that values collaboration, innovation, accountability, and practical solutions., • Career-growth opportunities across multiple banners and business functions., • Competitive compensation, comprehensive benefits, and professional-development opportunities. Ready to Make an Impact? If you enjoy solving complex data challenges, building dependable cloud solutions, and helping business teams act on trusted insights, we encourage you to apply. Village Super Market, Inc. is an equal opportunity employer. We welcome applicants from all backgrounds and are committed to an inclusive workplace. Salary Range: $101,000 - $116,000

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

AI Engineer Optomi, in partnership with a leading technology innovator, is looking for a skilled software engineer with expertise in Python and LLM applications. This role requires a seasoned developer with over three years of experience in Python, specializing in LLM applications such as prompting, tool calling, and RAG. The candidate will work on cutting-edge projects involving embeddings and vector search, designing and optimizing retrieval pipelines, and implementing OpenTelemetry for enhanced observability. What the right candidate will enjoy: • Collaborating with a dynamic team on innovative projects, • Opportunities to work with the latest technologies in machine learning and data retrieval What type of experience does the right candidate have: • 3+ years of Python programming, • Experience with LLM applications and related technologies, • Familiarity with OpenTelemetry What the responsibilities are of the right candidate: • Develop and optimize retrieval pipelines, • Implement and evaluate embeddings and vector search methodologies, • Enhance observability through OpenTelemetry integration

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.

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.

Location: Jersey City, NJ or Charlotte, NC Contract to hire W2 only Hybrid on site About the Role Sharp Decisions is recruiting for a senior, hands-on AI engineer to join the technology organization of a major global bank. This is a forward-looking role focused on agentic AI: designing, coding, and deploying autonomous agents built on large language models. What sets this role apart is the problem space. The team is looking for someone who understands not just how to build an agent, but how agents behave once they interact with each other, with data, and with the institution around them. That means thinking about emergent risk, complex systems, and the interconnectivity of things. What You'll Do • Design and build LLM-powered agents and multi-agent systems, from prototype through production., • Write the code yourself: agent logic, tool use, orchestration, and the data pipelines that feed them., • Model how agents interact within larger systems and identify where emergent behavior can create risk., • Bring a complex-systems lens to how interconnected processes, models, and data flows affect one another., • Work with engineering and business stakeholders to shape how agentic AI is applied responsibly across the bank. What You Bring, • A deep understanding of AI agents: how they work, how they reason and act, and how they fail., • Strong working knowledge of LLMs and practical experience building agents on top of them., • Solid coding ability in Python, with PySpark and SQL experience for working with data at scale., • Experience with Microsoft Azure., • A genuine grasp of complex systems, emergent behavior, and systemic or emergent risk. Backgrounds we'd love to see: Strong candidates often come out of computational social science or similar interdisciplinary programs, where modeling agents, networks, and emergent behavior is core to the work. A PhD in one of these fields is a meaningful plus. Technology Environment Azure, Python, PySpark, SQL, LLMs and agent frameworks. Databricks is part of the environment but not required. Location Jersey City, NJ or Charlotte, NC. The team is flexible on which office and will base the role wherever the right person is. Sharp Decisions has connected technology talent with leading financial institutions for more than 36 years.

Job Title: CI/CD Automation Engineer Duration: 12+ Months Location: Jersey City, NJ or Charlotte, NC Required Pay Scale: 89 CI/CD Automation EngineerPosition OverviewWe are seeking a CI/CD Automation Engineer to help modernize and automate application testing, patching, and deployment processes. This role will focus heavily on building automated test frameworks and integrating testing into CI/CD pipelines to reduce manual effort, improve deployment quality, and streamline the patching process. The ideal candidate will have strong hands-on experience with Playwright, CI/CD automation, and Ansible, along with experience working in containerized environments. Candidates should understand how modern Java and React applications function well enough to develop and execute effective automated test scripts, but do not need to be application developers. Must-Have Skills • Strong hands-on CI/CD automation experience, including designing, maintaining, and improving deployment pipelines., • Playwright experience is REQUIRED — significant hands-on experience creating and maintaining automated UI test scripts., • Experience with test automation frameworks/tools, preferably including Cucumber, Playwright, or similar UI automation frameworks., • Strong Ansible experience, including the ability to independently write, develop, and maintain Ansible playbooks rather than simply execute existing playbooks., • Strong Python skills for automation, scripting, and test development., • Experience automating patching and deployment processes and integrating automated testing into those workflows., • Experience working with Kubernetes and/or OpenShift and applications running in containerized environments., • Understanding of environments containing both containerized services and traditional VM-based workloads, including Windows and RHEL/Linux., • Working knowledge of applications built with Java and React, with enough understanding of application behavior and architecture to develop appropriate automated test scripts., • Ability to develop automated tests that validate applications following patching, deployments, and infrastructure changes.Key Responsibilities, • Build and maintain automated testing frameworks integrated with CI/CD pipelines., • Develop Playwright-based UI automation to validate application functionality after deployments and patching., • Automate testing processes to reduce manual validation and improve deployment confidence., • Write and maintain Ansible playbooks to automate patching, configuration, and deployment activities., • Integrate automated test execution into existing CI/CD pipelines., • Develop automation that validates applications after patching and deployment activities., • Help reduce the manual effort and operational risk associated with the current patching process through automation., • Work with development and infrastructure teams to understand application behavior and determine appropriate automated test coverage., • Support deployment processes across containerized and VM-based environments., • Develop Python scripts and other automation as needed to support testing and deployment workflows., • Troubleshoot failed automated tests, deployments, and pipeline executions., • Expand automated test coverage for applications utilizing Java and React technologies.Technology EnvironmentCI/CD: CI/CD pipelines, deployment automation Automation: Ansible, Python Test Automation: Playwright (Required), Cucumber, UI testing frameworks Containers: Kubernetes, OpenShift Operating Systems: RHEL/Linux, Windows Applications: Java, React Ideal CandidateThe strongest candidate will be an automation engineer who sits at the intersection of DevOps, CI/CD, and software testing. They should be able to independently write Ansible playbooks, build CI/CD automation, and—most importantly—develop Playwright test automation that can be executed as part of the deployment and patching lifecycle. Experience with Kubernetes/OpenShift and an understanding of Java/React applications will allow them to effectively test modern applications across both containerized and traditional infrastructure environments. About Matlen Silver Experience Matters. Let your experience be driven by our experience. For more than 40 years, Matlen Silver has delivered solutions for complex talent and technology needs to Fortune 500 companies and industry leaders. Led by hard work, honesty, and a trusted team of experts, we can say that Matlen Silver technology has created a solutions experience and legacy of success that is the difference in the way the world works. Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non-job-related medical condition or disability, or any other legally protected status. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at email and/or phone at: info@matlensilver.com // 908-393-8600 At The Matlen Silver Group, Inc., W2 employees are eligible for the following benefits: • Health, vision, and dental insurance (single and family coverage), • 401(k) plan (employee contributions only)

Job DescriptionJob Title: Senior Data Engineer. Location: Jersey City, NJ (On-site). Employment Type: Contract (W2 through ZipStaff — No C2C or 1099). About the Opportunity:ZipStaff is seeking a Senior Data Engineer to build and operate enterprise data pipelines for a leading healthcare analytics organization supporting financial and accounting platforms.This role requires expert-level Apache Airflow, dbt Core, and production Kubernetes / OpenShift. General ETL or warehouse-only engineers without orchestration and container depth will not be a fit. What You’ll Do: • Design, build, and maintain complex Airflow DAGs (batch and event-driven)., • Tune DAG performance, dependencies, retries, SLAs, and alerting., • Optimize Airflow scheduler, executor, and workers for high-concurrency workloads., • Lead dbt Core implementation: project structure, environments, and CI/CD., • Design staging / intermediate / mart models, tests, docs, macros, and incremental models., • Optimize dbt/SQL performance for large datasets and downstream reporting., • Deploy and run data workloads on Kubernetes / OpenShift., • Set CPU/memory requests and limits, autoscaling, and pod scheduling., • Troubleshoot container performance and resource contention., • Monitor end-to-end pipeline health; add logs, metrics, and alerts., • Partner with architects, platform engineers, and business stakeholders., • Support financial reporting, accounting, and regulated data use cases., • Enforce data-engineering standards, security, and governance. Required Qualifications: • 10+ years in data engineering, analytics engineering, or data platform engineering., • Expert-level Apache Airflow (DAG design, scheduling, performance tuning)., • Expert-level dbt Core (modeling, testing, macros, production implementation)., • Strong Python for data engineering and automation., • Production Kubernetes and/or OpenShift for data workloads., • Strong SQL for complex transformations., • Experience with distributed workload management and performance tuning., • Cloud data platforms, containerized deploys, CI/CD, and Git., • Ability to work on-site in Jersey City, NJ., • Must be legally authorized to work in the United States without sponsorship now or in the future. Preferred Qualifications: • Financial services or accounting data platforms., • Enterprise migrations from legacy systems to a modern data stack., • Data warehouse experience, including Oracle. About ZipStaff:ZipStaff partners with leading organizations to connect skilled technology professionals with high-impact contract opportunities. We focus on quality matches and long-term success. To apply, please submit your resume highlighting production Airflow DAGs, dbt Core modeling, and Kubernetes/OpenShift data workloads.

Job DescriptionCompany Description Job Description Senior Network Engineer – Enterprise & SD-WAN Work Type: Hybrid – 3 days onsite, Newark, NJ Job Summary Senior technical role responsible for the architecture, engineering, implementation, modernization, and operational support of NJ Transit's large, geographically distributed enterprise network — covering corporate facilities, rail/bus locations, data centers, stations, and critical infrastructure. Key Responsibilities Design, implement, configure, and troubleshoot enterprise LAN/WAN infrastructure. Support complex L2/L3 environments using BGP, OSPF, EIGRP, VLANs, VRFs, STP, QoS, multicast, and route redistribution. Engineer WAN/SD-WAN connectivity — MPLS, Ethernet, EPL/EVPL, broadband, wavelength, dark fiber. Support Cisco Nexus, ACI, Catalyst, and data center networking (10G/40G/100G/400G, DWDM, DCI). Implement Zero Trust, SASE, network segmentation, VPN, and IPSec. Support Azure ExpressRoute, AWS Direct Connect, and cloud connectivity. Develop automation using Python, Ansible, APIs, Terraform. Create HLDs, LLDs, MOPs, test plans, and network diagrams. Coordinate with architecture, operations, telecom, vendors, and carriers. Required Skills (7+ Years Each) Enterprise network engineering in large, complex environments (10+ yrs) Expert-level enterprise routing & switching Advanced Cisco (routers, Catalyst, Nexus) experience Advanced BGP, OSPF, EIGRP, TCP/IP, VLANs, VRFs, STP, QoS, multicast, VPNs Strong WAN & SD-WAN architecture & implementation Carrier telecom services & WAN circuit technologies Highly available & geographically diverse network design Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description Job Summary The Senior DevOps Engineer at Delta Dental of New Jersey & Connecticut plays a central role in evolving how we build, integrate, and operate applications. Working across cloud, DevOps, and integration platforms, this engineer writes code, builds automation, and supports production systems in a HIPAA-regulated environment, while contributing to DDNJ's modernization efforts, including the adoption of AI-assisted engineering tooling. This is a hybrid role, with an expectation of working onsite in our Parsippany, NJ office two days per week (Tuesday and Wednesday). Essential Functions & Responsibilities Build & Engineer • Develop and maintain a deep understanding of DDNJ's ecosystem, spanning customizable off-the-shelf, custom n-tier and cloud-native solutions., • Build and maintain CI/CD pipelines using Azure DevOps., • Develop and deploy solutions in GCP (Cloud Run, Cloud SQL), • Develop automation solutions using PowerShell, Python etc., • Implement Infrastructure as Code (IaC) using Terraform or similar tools., • Support DDNJ's integration and connectivity tools such as MuleSoft. Operate & Support • Debug and resolve complex problems in production environments., • Configure and maintain monitoring, logging, and alerting solutions such as Datadog or equivalent., • Provide remote off-hours 24x7 support on a rotating basis (week per month)., • Create and maintain technical documentation including architecture diagrams, data flows, and deployment runbooks., • Operate within established ITIL practices (Change, Release, Problem Management). Lead & Mentor • Act as technical advisor for design and implementation of new systems or enhancements., • Lead code reviews and set engineering standards for the Application Services team., • Mentor team members on cloud technologies and best practices. Collaborate • Interact and collaborate with security, network, data, and dev teams., • Partner with TMO Project Managers for seamless production turnover and knowledge transfer. Knowledge, Skills and Abilities • Experience with GCP or equivalent public cloud and relevant technologies such as:, • Networking (Virtual Private Cloud, Cloud Load Balancing), • Compute (Compute Engine, Cloud Run, Cloud Functions), • Data (Cloud SQL, Alloy DB, BigQuery, Storage), • Security (Cloud Identity, Certificate Authority Service, Secret Manager), • Experience with Azure DevOps and deployment automation best practices., • Experience with AI Agentic/coding tools such as Claude Code/CLI, Gemini CLI/Antigravity, • Proficient in scripting languages such as Python, PowerShell, or Bash., • Demonstrated experience with observability solutions (Datadog or equivalent)., • Knowledge of SQL databases, RESTful APIs, and web services., • Hands-on experience with Infrastructure as Code, particularly Terraform., • Comfort working with AI-assisted development tooling such as Claude Code, GitHub Copilot, or equivalent. Experience, Education, And Certifications Required • 4-6 years' experience in general application analysis/support including .Net, data integration through APIs, coding, and scripting., • 3+ years of hands-on cloud platform experience (GCP, Azure, or AWS) deploying and managing solutions., • Health Care or other regulated industry experience is preferred. Soft Skills • Excellent communication and problem-solving skills., • Ability to work independently and collaborate in teams., • Customer-focused with effective time management. Required Educational Level • Associate Degree in Computer Science or Information Technology. In addition to salary, Delta Dental of New Jersey's offerings may also include, for eligible employees, discretionary and formulaic incentive awards. Available offerings may vary by geographic location, job level, skills, experience, qualifications, education and date of hire. New Jersey Pay Range $130,000—$145,000 USD About Delta Dental Of New Jersey & Connecticut Delta Dental of New Jersey, Inc. is New Jersey's leading dental benefits company, providing or administering coverage to more than 2.2 million people through contracts with groups and individuals in New Jersey and Connecticut. In Connecticut, Delta Dental of Connecticut, Inc. is a licensed insurer that writes dental and vision coverage on an insured basis, and Delta Dental of New Jersey administers self-funded dental benefit programs. Offering dental benefits since 1969, Delta Dental of New Jersey's mission is to promote oral health to the greatest number of people by providing accessible dental benefit programs of the highest quality, service, and value. Through its philanthropic arm, the Delta Dental of New Jersey Foundation awards more than $1M in grants annually to support access to dental care and education for underserved children, seniors, veterans, and those with special needs, as well as funds workforce development programs for dental assisting and dental hygiene across New Jersey and Connecticut. Benefits In addition to a great culture, we offer excellent benefits including medical, dental, vision, life insurance, short and long-term disability, spending accounts, and matching 401k. We value our associates and support everyone with learning and development, recognition programs, active wellness and diversity initiatives, tuition reimbursement, and generous paid time off to recharge – even paid time off to volunteer at causes that you care about. The benefits set forth in this posting reflect DDNJ's benefits policies in place at the time of posting, as are made available to other similarly situated employees of DDNJ, although participation is at all times in accordance with and subject to the eligibility and other provisions of such plans and programs. DDNJ reserves the right, in its sole discretion, to prospectively modify or terminate any of its benefits plans or programs at any time and for any reason, to the extent permitted by applicable law. DDNJ complies with all applicable state and federal wage and hour, pay equity and pay transparency laws. Delta Dental of New Jersey Inc is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law.