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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.

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

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.

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 _.

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

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.

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

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.

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.

Job DescriptionDescription: LifeStation is a mission-driven healthcare technology company providing personal safety and remote monitoring solutions for older adults. Founded in 2004 and headquartered in Union, New Jersey, LifeStation remains privately held and focused on transforming the lives of the rapidly growing senior population in the U.S. through personal emergency response systems (PERS) and other technology-enabled health services. Its in-home, mobile, and smartwatch-enabled solutions promote safety and independence for older adults while delivering actionable insights to caregivers and care teams to support continuity of care. We are looking for a technically curious, detail-oriented Part-Time Hardware & Device Test Engineer to support the testing and validation of connected medical alert and mobile personal emergency response system (mPERS) devices.This is a hands-on engineering role working with real production and pre-production connected devices, including cellular-enabled pendants, smartwatches, wearable devices, charging accessories, and related hardware.The individual will work closely with our Product & Technology team and support testing of both new hardware products and firmware/software updates to existing products. Requirements: · Execute structured test plans against new firmware releases and hardware revisions. · Perform functional and regression testing to verify that existing features continue to work after firmware changes. · Test pre-production engineering samples during hardware development and validation. · Reproduce reported device problems and document the conditions under which issues occur. · Compare behavior across hardware versions, firmware versions, device configurations, and cellular networks. · Retest defects after engineering or vendor fixes are delivered. · Test devices using major U.S. cellular networks and multiple SIM configurations. · Validate device activation, network registration, incoming and outgoing calls, SMS commands, and data communication. · Assist with troubleshooting configuration, APN, SIM, and cellular-network-related issues. · Capture test details and logs needed for escalation to hardware manufacturers, module suppliers, and engineering teams. · Document defects with clear reproduction steps and supporting evidence. · Capture photos, video, logs, screenshots, call information, and other supporting data when useful. · Maintain test checklists and regression-test results. · Functional testing of engineering samples. · Battery and charging testing. · Audio and speaker testing. · Button and user-interface behavior. Qualification: · Hands-on experience troubleshooting electronic devices. · Understanding of basic electronics and computer hardware. · Familiarity with firmware, embedded systems, IoT devices, or microcontrollers. · Familiarity with cellular technologies, SIM cards, LTE, Bluetooth, GPS/GNSS, or wireless communications. · Ability to methodically isolate variables when troubleshooting a problem. · Comfort working with spreadsheets and structured test documentation. · Ability to read technical specifications and follow engineering test procedures. Experience with tools such as serial consoles, AT commands, log files, command-line utilities, APIs, Python, Arduino, Raspberry Pi, oscilloscopes, multimeters, or similar engineering tools is a plus, not a requirement. Schedule: This is a part-time position designed to accommodate an undergraduate or graduate student's academic schedule.

Job DescriptionDescription: Azure Cloud Infrastructure Engineer Location Hybrid / Remote (US) Role Overview We are looking for a Cloud Infrastructure & DevOps Engineer to help build, operate, and continuously improve the cloud platforms supporting SaleDock and Celerant retail systems. This role is responsible for managing Azure infrastructure, improving reliability, and developing automation that streamlines provisioning and deployment processes for new ecommerce customers. You will work closely with development and support teams to ensure our production and test environments are secure, scalable, and operationally efficient. Key Responsibilities Cloud Infrastructure & Operations • Build, manage, and maintain Azure cloud infrastructure supporting ecommerce and retail operations., • Administer production and test environments across Linux (and Windows where required)., • Monitor performance, capacity, uptime, and resource consumption across hosted applications., • Create and maintain dashboards and monitoring views to proactively identify issues., • Ensure high availability and reliability across customer-facing services. Automation & Deployment • Develop and maintain automation for provisioning, configuration, testing, and deployment., • Maintain CI/CD pipelines for ecommerce environments, including creating pipelines for new customer sites., • Improve and automate manual go-live processes for onboarding new ecommerce customers, including:, • Provisioning web applications, • Configuring custom domains and SSL validation, • Deploying environment-specific infrastructure and pipelines Support Tooling & Reliability • Develop internal tooling that enables support teams to monitor, restart, and manage endpoints/services., • Assist with incident response, troubleshooting, and root cause analysis., • Participate in an on-call or out-of-hours escalation rota (if required) to support uptime expectations. Security & Best Practices • Apply operational security best practices across the Azure environment., • Implement hardening, access controls, patching processes, and secure networking., • Ensure infrastructure is compliant with internal standards and industry best practice. Required Skills & Experience • Strong experience managing cloud infrastructure in Microsoft Azure., • Experience with Infrastructure as Code (Terraform, Bicep, ARM, etc.)., • Strong CI/CD pipeline experience (Azure DevOps, GitHub Actions, etc.)., • Experience supporting production workloads and diagnosing performance issues., • Solid understanding of networking concepts (VNets, subnets, routing, firewalls, DNS)., • Comfortable working with Linux administration (and Windows Server where relevant)., • Scripting / automation skills (PowerShell, Bash, Python, etc.)., • Familiarity with monitoring tools (Azure Monitor, Application Insights, Grafana, etc.). Nice to Have • Experience running multi-tenant ecommerce or SaaS platforms., • Experience with scaling strategies, load balancing, and resilience planning., • Understanding of security frameworks and governance in Azure (Defender, Policy, RBAC best practices)., • Experience building internal support tooling or operational dashboards. What Success Looks Like • Production and Test infrastructure with high uptime, security, and incident handling, • Faster and more automated ecommerce customer go-live processes., • Improved monitoring and visualization tooling, • Improved reliability and visibility of production systems., • Clear monitoring dashboards and proactive alerting in place.Requirements: Required Skills & Experience • Strong experience managing cloud infrastructure in Microsoft Azure., • Experience with Infrastructure as Code (Terraform, Bicep, ARM, etc.)., • Strong CI/CD pipeline experience (Azure DevOps, GitHub Actions, etc.)., • Experience supporting production workloads and diagnosing performance issues., • Solid understanding of networking concepts (VNets, subnets, routing, firewalls, DNS)., • Comfortable working with Linux administration (and Windows Server where relevant)., • Scripting / automation skills (PowerShell, Bash, Python, etc.)., • Familiarity with monitoring tools (Azure Monitor, Application Insights, Grafana, etc.).

Job DescriptionJob Title: Power Systems Engineer / Senior Power Systems Engineer Company: Continuum Associates LLC Location: United States or Canada; Hybrid / Remote options available for well-qualified candidates Employment Type: Full-Time Reports To: Engineering / Senior Management Team Travel: Less than 20%, including travel within North America and occasional international travel Compensation: Competitive base salary commensurate with experience and location, plus performance-based bonus Benefits: Medical, Dental, Vision, Retirement Plan, Paid Time Off Job Summary Continuum Associates LLC is a U.S.-based global consulting firm specializing in engineering, power and energy economics, technology, and strategy for the electric power and energy industry. Continuum Associates is seeking a Power Systems Engineer / Senior Power Systems Engineer with a strong engineering background in power system analysis, modeling, and grid studies. This position will support advanced engineering projects involving electric transmission and distribution infrastructure, renewable energy integration, power system reliability, grid modernization, and generation development. The ideal candidate will have hands-on experience with power system simulation software, strong analytical and programming capabilities, and knowledge of North American power markets, reliability standards, and interconnection processes. Depending on experience level, the position may also involve project management, mentoring junior engineers, and helping develop a growing North American engineering team working alongside Continuum's engineering teams in the U.S. and India. Essential Duties and Responsibilities • Perform power system engineering studies and data analysis related to bulk transmission, distributed generation, and power quality., • Conduct transmission and distribution planning studies., • Support renewable energy grid integration studies involving solar, wind, battery storage, and other generation resources., • Perform power system reliability assessments and related engineering analyses., • Support engineering studies involving utility power systems and renewable generation facilities., • Develop, maintain, and analyze power system models using industry-standard simulation software., • Utilize tools such as PSCAD/EMTDC, PSS/E, Simulink for Power Systems, TARA, or similar platforms., • Prepare clear, concise engineering reports documenting methodologies, study results, findings, and recommendations., • Analyze engineering and power system data using Python, Excel, R, or other programming and data analysis tools., • Support generator and large-load interconnection studies and related technical analyses., • Apply knowledge of NERC Reliability Standards and applicable FERC Orders., • Support projects involving North American ISO/RTO and utility transmission planning and interconnection procedures., • Work with systems and markets including MISO, PJM, ERCOT, SPP, ISO-NE, NYISO, CAISO, AESO, IESO, and others., • Manage or support multiple engineering projects and client engagements simultaneously., • Collaborate with multidisciplinary engineering teams, clients, vendors, utilities, developers, and other stakeholders., • Identify technical and project-related problems and recommend practical solutions., • Participate in client meetings, ISO/RTO stakeholder meetings, industry conferences, and technical discussions as needed., • Maintain project schedules, deliverables, and deadlines in a fast-paced consulting environment., • Take ownership of assigned engineering work and ensure high-quality, accurate deliverables., • For senior-level candidates, mentor, train, and provide technical guidance to junior engineering staff., • Help develop and strengthen Continuum's North American engineering team while collaborating with engineering teams in the U.S. and India. Required Qualifications • Bachelor's degree in Electrical Engineering or a closely related engineering discipline with relevant power system study experience., • Minimum of 2 years of relevant experience for the Power Systems Engineer position., • Minimum of 6 years of relevant experience for the Senior Power Systems Engineer position., • Experience supporting North American energy market analysis and/or working within the U.S. or Canadian power sector., • Strong background in electric power systems analysis and modeling., • Hands-on expertise with at least one major power system simulation package such as PSCAD/EMTDC, PSS/E, Simulink for Power Systems, TARA, or equivalent., • Experience with transmission planning, distribution planning, renewable grid integration, power system economics, reliability assessment, or related studies., • Programming and/or data analysis experience using Python, R, Excel, or another major programming language or analytical tool., • Knowledge of North American electric power transmission and generation systems., • Experience working with multidisciplinary project teams., • Ability to manage multiple projects, assignments, and deadlines simultaneously., • Strong technical report writing and presentation skills., • Excellent written and verbal communication skills., • Strong analytical, problem-solving, and decision-making capabilities., • Strong organizational skills and attention to detail., • Ability to independently manage assigned responsibilities and take ownership of deliverables., • Must be legally authorized to work in the United States or Canada. Candidates requiring current or future visa sponsorship may be considered on a case-by-case basis. Preferred Qualifications • Master's degree or Ph.D. in Electric Power Systems, Electrical Engineering, or a related discipline from an accredited U.S. or Canadian university., • Professional Engineer (PE) license in a U.S. state, P.Eng. registration in a Canadian province, or the ability to obtain professional licensure., • Experience with renewable energy generation, including solar, wind, and battery energy storage systems., • Experience performing advanced transmission and distribution system studies., • Working knowledge of NERC Reliability Standards., • Knowledge of FERC Orders governing generator and large-load interconnection., • Familiarity with ISO/RTO and utility interconnection and transmission planning procedures., • Experience working with MISO, PJM, ERCOT, SPP, ISO-NE, NYISO, CAISO, AESO, IESO, or other North American system operators., • Project management experience within power systems engineering or energy consulting., • Experience working directly with utilities, developers, ISOs/RTOs, government agencies, or other electric power industry clients., • Experience mentoring, training, or leading junior engineering professionals., • Ability to help develop and lead multidisciplinary engineering teams. Work Environment / Schedule • Full-time position., • Candidates may be located within the United States or Canada., • Continuum Associates is headquartered in Columbia, Maryland., • Hybrid and remote work arrangements may be considered for well-qualified candidates., • Position requires collaboration with engineering teams, clients, utilities, vendors, and other stakeholders across multiple locations., • Ability to manage multiple projects and strict deadlines within a fast-paced consulting environment is required., • Business travel is expected to be less than 20% of the time., • Travel may include client sites, ISO/RTO stakeholder meetings, industry conferences, and Continuum offices., • Some international travel may be required., • Candidates must have a valid driver's license and passport and be able to travel across the U.S.-Canada border as required. Compensation and Benefits • Competitive base salary commensurate with experience and location., • Performance-based bonus., • Medical insurance., • Dental insurance., • Vision insurance., • Retirement plan participation., • Paid time off., • Opportunities to work on advanced power system and renewable energy projects., • Exposure to major utilities, ISOs/RTOs, developers, investors, government agencies, and other power industry stakeholders., • Opportunities for professional development, technical leadership, and team growth. EEO Statement We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic under applicable U.S. or Canadian law. #ZR

Job Description Fortegra is building a next-generation engineering capability focused on AI-accelerated development and rapid application delivery. We are seeking Full Stack Engineers who thrive in fast-moving environments and have deep experience designing, building, and deploying enterprise-grade applications. The ideal candidate is a high-agency engineer with strong expertise in React-based front-end systems, modern backend frameworks, and secure public-facing application architecture, combined with hands-on experience using AI-driven development tools and agentic coding workflows. Domain experience in Insurance or Financial Services is a big plus. If you are excited about using tools like Claude Code, GitHub CoPilot, Cursor, Lovable, Replit, and other AI-native development tools to dramatically accelerate product development, we want to talk to you. What You’ll Do: Build and Ship Production Applications: • Architect and develop enterprise-grade full stack applications, • Design and build high-quality React front-end systems, • Develop scalable backend services using modern server-side frameworks, • Deploy secure public-facing applications in production environments, • Ensure performance, reliability, and maintainability of distributed systems AI-Accelerated Development: • Use AI coding tools such as Claude Code, CoPilot, Cursor, Replit, Lovable and similar environments to dramatically accelerate development cycles, • Implement AI-driven development workflows including agentic coding, prompt-driven engineering, and automated code generation, • Rapidly prototype and iterate on new product ideas, • Evaluate and integrate emerging AI developer tools Rapid Prototyping and Product Development: • Quickly build and validate new front-end applications and internal tools, • Partner with business stakeholders to transform ideas into working software, • Develop prototypes that evolve into production-ready enterprise systems, • Help establish Fortegra’s modern AI-first engineering culture Security and Production Readiness: • Design and implement secure architectures for public-facing applications, • Implement authentication, authorization, and secure API design, • Apply best practices in application security, cloud security, and compliance, • Ensure secure handling of sensitive financial and customer data The above-cited duties and responsibilities describe the general nature and level of work performed by people assigned to the job. They are not intended to be an exhaustive list of all the duties and responsibilities that an incumbent may be expected or asked to perform. Required Qualifications: • 7+ years of professional software engineering experience, • Significant experience designing and deploying enterprise-grade applications, • Expert-level proficiency with React and modern front-end frameworks, • Strong experience with at least one server-side framework such as:, • Node.js / NestJS / Express, • Python (FastAPI, Django), • .NET Core, • Experience building and deploying secure public-facing applications, • Strong knowledge of API design, distributed systems, and cloud architectures, • Hands-on experience using AI coding tools such as:, • Claude Code, • Cursor, • GitHub Copilot, • Replit, • Experience with AI-assisted or agentic development workflows, • Strong ability to prototype quickly and iterate rapidly Preferred Qualifications: • Insurance or Financial Services domain experience, • Experience building AI-enabled products or developer tooling, • Familiarity with LLMs, AI agents, and prompt engineering, • Experience with serverless and cloud-native architectures, • Experience deploying applications in AWS, Azure, or GCP, • Experience building internal platforms or developer tooling, • Startup or high-velocity product development experience What Makes This Role Unique: • Work in an AI-first engineering environment, • Use modern AI developer tools to dramatically accelerate development, • Build production applications from prototype to deployment, • Help shape Fortegra’s next generation product platform, • Join a high-impact engineering team focused on rapid innovation Salary Range $120,000 – $190,000 base salary, commensurate with experience. Fortegra is not accepting unsolicited resumes from search firms for this position. Applicants must be authorized to work for any employer in the United States. We are unable to sponsor or assume sponsorship of employment visas at this time. We welcome applicants of all backgrounds and national origins. Recruitment Updates Fortegra has recently been made aware of unauthorized communications regarding career opportunities by individuals not associated with Fortegra or our recruitment team. Fortegra will only contact you from the Fortegra domain address (@fortegra.com). If you receive a message from someone posing as a Fortegra recruiter via text message, WhatsApp, Telegram or other messaging platform, please report it as phishing and block the sender. Internal Notice: As part of our commitment to talent development, this position is open for internal promotion applications at the time of public posting. #LI-Onsite

Job DescriptionWork Location: Fully Remote. Our direct client has an opening for an Security Engineer rec 13810 This position is up to 12 months, with the option of extension the position will be located in Columbia,SC Please send rates and a resume. W2 only Bachelors Degree in an Information Technology, Computer Science, Software Engineering or Information Security related field; 8+ years of relevant experience may be substituted in lieu of education 5+ years of experience in supporting large IT environments, security systems, software development, and/or system deployments Hands-on security engineering experience supporting multiple cybersecurity technologies, systems, integrations, and operational functions. Experience integrating enterprise technologies using APIs, SDKs, web services, structured data formats, authentication methods and vendor-supported interfaces. Strong experience troubleshooting complex technical issues across applications, security platforms, operating systems, networks, identity services and integrations Linux system deployment, configuration, patching, scripting, service management, monitoring, troubleshooting and lifecycle management Experience developing automation and response workflows using Python, PowerShell, Bash, REST APIs, JSON, YAML and vendor SDKs Experience supporting IAM, DSPM, ASM, vulnerability management, email security, endpoint security, SIEM, SOAR, logging, monitoring, cloud security and other enterprise security technologies Strong understanding of enterprise security architecture, incident response, networking, access control, secure software development, systems administration and industry-standard cybersecurity frameworks Preferred Skills After-hours maintenance, incident escalation support, and operational handoffs may be required as needed.

Job Description Job Title: Senior Software Engineer Team: Systems Location: Hybrid in Chicago (IL) or Newark (NJ) Employment Type: Full-time FLSA Classification Exempt Start Date: ASAP About Braven Braven is a national nonprofit that prepares promising college students to secure a strong first opportunity after college graduation through a career-accelerating program. We work with higher education and employer partners to offer a life-changing experience that begins with a semester-long course for college students, followed by support that lasts through graduation. Together, our ambition is to help rebuild the middle class and revitalize the American Dream. To learn more, take a look at Braven’s Jobs. About the Role In order to achieve its ambition of serving 80,000-100,000 Fellows over the next decade, Braven is hiring a Senior Software Engineer to lead the design and delivery of the platform, tools, and automation that power Braven’s programs. On the Systems team, we prioritize impact, ship the simplest thing that works, and iterate as we learn, balancing the agility to move quickly with the discipline of strong engineering practices and keeping real impact on students’ lives ahead of elegant code. As a Senior Software Engineer, you will take ownership of complex, end-to-end full-stack initiatives across our learning platform, data systems, and the AI and automation that scale our programs, raising the technical bar through architecture and code reviews and mentoring engineers as the team grows. This role is on the Systems team and reports directly to the Sr Dir, Software Engineering. What You’ll Do Design and ship complex features (60%) • Scope and lead full-stack initiatives in Python and/or Ruby on Rails across our platform, data pipelines, and program automation, from ambiguous problems to production., • Make pragmatic architecture and technical design decisions that keep our systems robust, performant, secure, and maintainable. Raise the team’s technical bar (25%) • Review code and architecture proposals, and mentor engineers to help them grow., • Champion testing, observability, and engineering best practices, and improve our processes and documentation. Collaborate and stay current (15%) • Partner across technical and non-technical teams, participate in scrum and sprints, and integrate the systems our programs rely on., • Stay informed on industry trends, security, data privacy, and emerging AI tooling, and bring them to the team., • Other duties as assigned Requirements Minimum Requirements • Bachelor’s degree in a technical field, completion of a technical training program, or equivalent practical experience, • 5+ years of software engineering experience Preferred Qualifications • Strong full-stack proficiency across backend, frontend, and database design, with experience in technologies such as Ruby on Rails, Python, React, PostgreSQL, BigQuery, and Git., • Strong mentoring and communication skills, able to manage stakeholders and bridge technical and non-technical teams., • Experience applying AI and automation to ship faster or scale operations, such as LLM-assisted development or workflow automation., • Demonstrated commitment to building strong and welcoming cultures that help to develop others., • Exemplification of Braven’s core values., • Experience that has informed your belief in Braven’s mission and has prepared you to work with or for Braven’s student Fellow population. Please know that no one ever meets 100% of the preferred qualifications. If much of this describes you, we encourage you to apply. Work Demands • Ability to work in-person in Chicago (IL) or Newark (NJ) 3 days per week, • Travel 2-3 times per year Additional Requirements • Authorized to work in the U.S., • Braven doesn’t offer employment visa sponsorship Application & Interview Process While the interview process may vary slightly, the general process will be: • Phone screen with Talent Team member, • Performance Task, • Interview with Hiring Manager, • Panel Interview with Key Partners, • Reference Checks Benefits Compensation and Benefits Braven offers competitive base salaries based on the midpoint of the market among not-for-profit organizations of similar size, with opportunities for salary growth over time. We believe in compensating staff members fairly in relation to each other, their qualifications, and their impact on behalf of the organization, and take internal and external equity seriously. Given our commitment to equity, Braven does not negotiate salary offers; instead, each salary offer is determined carefully using external and internal benchmarking. Starting salary within the range is determined by role scope and qualifications, with new hires starting at the lower end to allow for growth with performance. Braven does not base compensation on individual candidate salary expectations and is committed to maintaining internal equity. The salary ranges, by geographic market, for this role are set forth as $111,300 - $139,000 in Chicago and $122,500 - $153,100 in Newark. This is based on a 50-hour work week at an hourly rate. This is a full-time, regular, exempt, and benefits eligible position where you will be working at 100% capacity. Braven also provides competitive, comprehensive benefits, recognition, and career development. While Braven reserves the right to change benefits at any time, current benefits include: • Unlimited vacation time in addition to org-wide holidays and week-long shutdowns in July and the end of the calendar year (this is a minimum of 19 days per year), • Braven supports your path to parenthood and beyond with $25,000 in lifetime Carrot benefits for fertility, family-building, and hormonal health, • Match of your 401K contribution up to 5% of your base annual salary, starting your first full month, • Coverage of 85% of health insurance premium for employee and dependents, • 12 weeks of paid parental leave, • A one-month paid sabbatical after 4 years on staff Please note that Braven is firm in its compensation philosophy; therefore, only candidates who believe our total rewards package aligns with what they are looking for in their next opportunity are encouraged to apply. Location We gather in the office 3 days a week (Tuesday through Thursday) and work remotely 2 days a week (Monday and Friday). Therefore, this role requires teammates to live within commuting distance of one of our hubs: Chicago or Newark. We believe in the magic, connection, and collaboration that happens when people work together face-to-face, and we believe in giving people flexibility to focus, balance personal priorities, and save themselves two commutes per week. Braven is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor. We encourage talented individuals of all backgrounds to apply.

Job Description Machine Learning Engineer – Predictive Forecasting & Time Series Newark, NJ $150,000 – $200,000 Why This Role Exists We are looking for a Machine Learning Engineer who has built predictive models around time-dependent data and deployed them into real production environments. The primary focus is forecasting and predictive analytics used to improve decisions around demand, sales, inventory, purchasing, and operational planning. This is not an LLM or generative AI role. We are specifically looking for experience building predictive models where time, historical patterns, seasonality, trends, and future outcomes matter. What You Will Own • Build and improve production-grade forecasting and predictive models using time-dependent data., • Develop SKU-level, demand, sales, inventory, or other operational forecasting systems., • Own models from development through deployment, monitoring, retraining, and ongoing improvement., • Build and optimize data pipelines supporting predictive ML systems., • Measure model performance and continuously improve forecast accuracy., • Partner with business and operational teams to turn model outputs into better decisions. What Success Looks Like • Forecasting accuracy improves measurably over time., • Predictive outputs are trusted and actively used by business teams., • Models perform reliably in production at meaningful data scale., • Forecasts improve purchasing, inventory, capacity, or operational decision-making., • Models can be iterated and deployed quickly as business conditions change. What You Need • Proven experience building time series, temporal, forecasting, or other time-dependent predictive models., • Experience deploying machine learning models into production., • Strong Python and machine learning/statistical modeling skills., • Experience working with large transactional or operational datasets., • Experience building or supporting production ML data pipelines., • Ability to connect model performance to real business outcomes. Especially Relevant Experience Experience predicting outcomes such as: • Demand, • Sales, • Inventory requirements, • Purchasing needs, • Capacity, • Production volume, • Customer behavior over time, • Other future operational or business outcomes Experience with methods such as gradient boosting, regression, tree-based models, classical statistical forecasting, probabilistic forecasting, or deep-learning approaches to temporal data is relevant. The important requirement is not a specific algorithm. It is evidence that you have successfully built predictive models where time-dependent data was central to the problem. Email Resume: Joel@maiplacement.com Apply Online: https://jobs.crelate.com/portal/maiplacement/job/57uddx43h4me63xrn6z1157iec Refer a friend, get up to $1,000!

Job Description AI Engineer - Titusville, NJ (Hybrid – 2 Days Onsite) We are looking to hire a candidate with the mentioned skill sets and experience for one of our clients within the pharmaceutical Industry. This is a 6+ month contracting role, with potential for extension. Only candidates currently residing in the United States will be considered for this position. Job Summay We are looking for an experienced AI Engineer with strong hands-on experience in Generative AI, Agentic AI, RAG, and LLM-based applications. The ideal candidate should have strong Python programming skills and experience building and integrating AI solutions into enterprise systems. Key Responsibilities • Design, develop, and deploy Generative AI and LLM-powered applications., • Build AI Agents and Agentic Workflows to automate business processes., • Develop and optimize RAG architectures for enterprise use cases., • Implement AI solutions using LangGraph, LangChain, CrewAI, AutoGen, or similar frameworks., • Integrate LLMs using Azure OpenAI, AWS Bedrock, OpenAI APIs, or other GenAI platforms., • Develop Python-based AI applications and integrate them with REST APIs, databases, and cloud services., • Implement prompt engineering, model evaluation, guardrails, and responsible AI practices., • Optimize AI applications for performance, accuracy, scalability, and reliability., • Collaborate with cross-functional teams to understand business requirements and deliver AI solutions. Key Requirements • 6+ years of experience in software engineering, AI/ML, data engineering, or related fields., • Minimum 2+ years of hands-on experience with Generative AI solutions., • Strong experience developing AI Agents, Agentic Workflows, RAG, and LLM applications., • Experience with LangGraph, LangChain, CrewAI, AutoGen, Semantic Kernel, or similar frameworks., • Hands-on experience with Azure OpenAI, Azure AI Foundry, AWS Bedrock, or OpenAI APIs., • Knowledge of prompt engineering, fine-tuning, model evaluation, and AI guardrails., • Experience integrating AI applications with REST APIs, databases, and cloud platforms., • Strong Python programming skills and familiarity with AI/ML libraries., • Good communication and problem-solving skills. Other Job Details • Interviews: Video interviews., • Docs required: ID proof will be required.

Job Description Fortegra is building AI-enabled systems for commercial insurance. Our document-intelligence software processes emails, scanned PDFs, policy packets, loss runs, and spreadsheets with inconsistent layouts. It identifies what was received, extracts and reconciles relevant facts, preserves links to the source, and presents the results for review and action. Current work includes underwriting submission triage and audits of issued policy packets. Reliability is central to this work. A field can look plausible and still be wrong. A parser can misread a page without raising an error, or a workflow can omit a document entirely. We need to find those failures, understand their impact, and keep the system dependable as document formats, models, prompts, and parsing tools change. We're hiring an engineer to build and improve these production systems. You'll work closely with the technical lead for applied AI on architecture, data representation, and model choices. You'll take bounded features from a business question or production failure through planning, implementation, evaluation, and production readiness. You'll surface decisions that need broader input, and take responsibility for larger features and workflows as you learn the system and domain. WHAT YOU'LL WORK ON • Build applied-AI product features. Work across document parsing and OCR, classification and routing, structured extraction, normalization and reconciliation, source grounding, retrieval and summarization, and the deterministic logic around them. Most candidates will bring depth in some of these areas and an interest in working across their boundaries., • Drive the evaluation loop. Inspect real documents, traces, and model behavior; maintain representative evaluation sets; classify failures; choose the next change from the evidence; and requalify the result. Outputs must be complete, support material claims with source evidence, and reconcile related values., • Shape features with domain experts. Work with underwriters, auditors, claims professionals, and other specialists to clarify definitions, exceptions, source authority, and acceptance criteria. Turn those decisions into schemas, examples, validation rules, and product behavior., • Compare and choose technical approaches. Test models, OCR and parsing tools, managed services, and internal implementations against the same representative documents. Recommend an approach based on quality, cost, latency, reproducibility, failure modes, and operational overhead. Build for the current problem, then reuse patterns that prove durable., • The day-to-day work is production engineering: building features, debugging strange behavior, reviewing code, improving tests and observability, and operating services in a Python and Azure Functions codebase. EARLY PRIORITIES In your first months, you'll improve one existing capability through evaluation and requalification; ship a bounded document-intelligence feature; and complete a model, parser, or service comparison with the tests, artifacts, and handoff needed to continue it. Your scope will grow as you learn the system and domain and demonstrate sound judgment. HOW WE WORK • Choose the tool based on the problem. Use deterministic code for stable rules and LLMs for variable interpretation. Tests, evaluations, and production evidence support release decisions., • Work effectively with coding agents. Claude Code, OpenAI Codex, Cursor, and similar tools are part of daily development. Give agents useful context and verifiers, choose how much autonomy to grant, and remain responsible for architecture, review, testing, and what gets merged., • Follow failures through the system. A defect may involve documents, prompts, model behavior, application logic, and product expectations. We investigate across those boundaries and preserve concise plans, findings, and handoffs. WHAT WE'RE LOOKING FOR • Production software engineering. You've built and shipped Python services or product features and can reason about testing, observability, reliability, security, cost, and latency., • Applied-AI judgment. You understand common LLM failure modes and how context, data quality, evaluation design, and model or API choices affect results. You've worked hands-on with structured outputs, tool calling, context design, or retrieval., • Evidence-based debugging. You inspect source artifacts, traces, ground truth, evaluation sets, structured error analysis, tests, and production evidence to determine what happened and whether a change helped. Come ready to walk us through one example., • Ability to shape incomplete work with domain experts. You can turn an underspecified problem into a plan, learn what its fields and rules mean, make progress, and identify decisions that need broader input., • Practical technical judgment. You can choose among deterministic code, schemas, rules, search, product changes, and LLMs based on the problem., • Responsible use of coding agents. You can delegate implementation, provide context and verification, choose an appropriate level of autonomy, and review, test, and correct the result. Experience with our exact tools is optional., • Nice to have: document processing, OCR, information extraction, retrieval, or search experience; insurance or another regulated, document-intensive domain; Azure, serverless, or distributed processing; evidence, provenance, citation, or human-review systems., • This production-software role focuses on dependable outputs and real failures. Model-training research and notebook-based analytics are outside its day-to-day scope. Salary Range$140,000 – $170,000 base salary, commensurate with experience. Additional Information: Full benefit package including medical, dental, life, vision, company paid short/long term disability, 401(k), tuition assistance and more Job Posting Disclaimer: Fortegra has recently been made aware of unauthorized communications regarding career opportunities by individuals not associated with Fortegra or our recruitment team. Fortegra will only contact you from the Fortegra domain address (@fortegra.com). If you receive a message from someone posing as a Fortegra recruiter via text message, WhatsApp, Telegram or other messaging platform, please report it as phishing and block the sender. Applicants must be authorized to work for any employer in the United States. We are unable to sponsor or assume sponsorship of employment visas now or in the future. We welcome applicants of all backgrounds and national origins. Fortegra is not accepting unsolicited resumes from search firms for this position. Internal Notice: As part of our commitment to talent development, this position is open for internal promotion applications at the time of public posting. #LI-Onsite

Job DescriptionJob Title: Principal Power Systems Engineer – Grid Integration & Power Electronics Location: Remote, Canada or United States; preference for candidates based in Canada Employment Type: Full-time Reports To: President Travel: Occasional North American and international travel Compensation:$175,000–$215,000 USD annual base salary for U.S.-based candidates. Compensation for Canada-based candidates will be adjusted to CAD based on location, experience, and qualifications. Benefits: Medical, dental, and vision coverage; retirement plan with company contribution; PTO and holidays; professional-development support; stock ownership opportunity Job Summary Our Client is an engineering and energy consulting firm supporting utilities, renewable-energy developers, investors, government agencies, and other power-sector clients. Since 2011, our client has supported more than 180 GW of clean and renewable energy projects. We are seeking a Principal Power Systems Engineer to serve as a senior technical and client-facing leader. This role will lead complex grid interconnection, transmission planning, renewable and battery-storage integration, inverter-based resource (IBR), and reliability studies while mentoring engineers and supporting client growth. Essential Duties and Responsibilities • Lead complex power-system, interconnection, transmission, renewable, storage, IBR, power-quality, and grid-compliance studies., • Establish study methodology, assumptions, modeling approaches, and quality standards., • Review, validate, and troubleshoot models and serve as a final technical reviewer., • Lead RMS and EMT modeling, validation, and IBR performance assessments., • Present and defend technical findings to clients, utilities, ISO/RTOs, and other stakeholders., • Manage key client relationships, project scope, schedules, and technical deliverables., • Mentor engineers and review technical work., • Support proposals, scopes, fee estimates, and business development., • Stay current on FERC, NERC, IEEE, ISO/RTO, utility, and Canadian grid requirements. Required Qualifications • Bachelor’s degree in electrical engineering, power systems, or a related engineering discipline., • 8+ years of U.S. and/or Canadian power-sector experience, including senior or technical leadership responsibilities., • Strong experience with IBR modeling, grid integration, and complex power-system studies., • Advanced proficiency in at least two platforms such as PSCAD/EMTDC, PSS/E, GE PSLF, ASPEN, MATLAB/Simulink, or PowerGEM TARA., • Experience with RMS and EMT modeling and model validation., • Strong client-facing experience and ability to defend technical work before external stakeholders., • Experience mentoring engineers and managing project scope, budget, and schedules., • Strong written and verbal communication skills., • Authorization to work in the U.S. or Canada, or ability to obtain authorization through employer-sponsored immigration support. Visa sponsorship is available for the right candidate. Preferred Qualifications • Master’s, M.Eng., or Ph.D. in electrical engineering, power systems, or a related field., • PE, P.Eng., or progress toward professional licensure., • Experience with ISO/RTO interconnection queues and grid requirements., • Experience with grid-forming inverters, weak-grid conditions, renewable-plus-storage, or large-load/data-center interconnections., • Knowledge of NERC, IEEE 1547, IEEE 2800, FERC, and Canadian operator requirements., • Programming or automation experience with Python, C++, MATLAB, Excel VBA, R, or similar tools., • Proposal development, regulatory, technical advisory, or business-development experience. Work Environment / Schedule • Fully remote within the U.S. or Canada., • Collaboration across North American time zones., • Occasional domestic and international travel., • Valid passport and ability to travel across the U.S.–Canada border, as legally permitted. Compensation and Benefits • $175,000–$215,000 base salary., • Medical, dental, and vision coverage., • 401(k) with company contribution for U.S. employees or Group RRSP for Canadian employees., • PTO and company holidays., • Professional licensure and continuing-education support., • Stock ownership opportunity, subject to eligibility and vesting terms. EEO Statement We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected characteristic under applicable federal, state, or local law.

Job DescriptionCompany Description Job Description Position: AWS Lead Data Engineer Location: Newark, NJ – Hybrid Interview: In-person interview required in Newark, NJ Role Overview We are looking for an experienced AWS Lead Data Engineer to provide technical leadership and design, develop, and optimize scalable data solutions on AWS. The role involves leading data engineering initiatives, mentoring engineers, and working closely with cross-functional teams to deliver reliable, secure, and high-performing data platforms. Key Responsibilities • Lead the design and development of large-scale AWS data pipelines and data lake architectures., • Design end-to-end solutions covering data ingestion, storage, transformation, and analytics., • Provide technical leadership, mentoring, and code review for Data Engineering teams., • Work with Data Scientists, Analysts, and business stakeholders to translate requirements into scalable solutions., • Lead legacy data migration to AWS-based data lakes and data warehouses., • Establish standards for data quality, security, governance, performance, and scalability., • Drive DevOps, CI/CD, and Infrastructure-as-Code practices., • Troubleshoot complex data engineering issues and provide technical guidance. Mandatory Skills • Strong exp as Data Engineering experience with 3+ years in a Lead/Technical Lead role, • Strong hands-on experience with AWS data services, including:, • AWS Glue, • Amazon Redshift, • Amazon S3, • AWS Lambda, • EMR / Spark, • Kinesis, • Athena, • RDS, • API Gateway, • Strong Python and SQL skills, • Experience with Data Lakes, Data Warehouses, ETL/ELT, Data Modeling, and Big Data frameworks, • Experience with DevOps, CI/CD, and Infrastructure as Code, • Hands-on experience with Terraform and/or CloudFormation, • Strong technical leadership, mentoring, and communication skillsAdditional Information All your information will be kept confidential according to EEO guidelines.

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.

About the Principal Software Engineer, Backend. APIs and distributed backend systems. TypeScript, and Python especially in the context of building high-scale backend services.

We are hiring a backend-focused Full-Stack Engineer to architect the data models, APIs, and services behind new finance and accounting modules. Architect backend services in Python and FastAPI with PostgreSQL, choosing thoughtfully between OLAP and OLTP approaches. Remote employees attend quarterly

Job Title: LangChain AI Engineer with Python, AWS and Java.Location: Jersey City, NJ (Onsite 5x a week, relocation is fine).Need to have Python Development as Primary Language and Java Development (20%) as Secondary Language with AWS Cloud experience.We are seeking a skilled Software Developer with

Senior Database Security Engineer. Strong Python + database + cloud combination. Database Security Requirements.

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).

Location:Pennington, NJ or Jersey City, NJ.Position type: Long term contract / contract-to-hire possible.Work Authorization / Visa – open to all who can work on our W2.This is a hands-on engineering role.Candidates should be able to demonstrate.Linux troubleshooting and production experience rathe

We are looking for a heavy-hitting, hands-on Lead Software Engineer with a strong hybrid background in Backend Python Development and DevOps Automation. Build & Scale: Drive the engineering, feature development, and architectural scaling of our core internal AI Security Platform from its current ear

Bachelor's degree in Computer Science, Engineering, Mathematics, Information Systems, or a related STEM discipline. Data Engineering: Data Pipelines, Data Lakehouse, Data Quality, Data Governance, Metadata, Data Lineage, Monitoring & Observability. Enterprise Finance Technology's AI, Data & Platform

Optomi, in partnership with a leading technology innovator, is looking for a skilled software engineer with expertise in Python and LLM applications.

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. Strong Python development skills with experience using analytical libraries.

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

Senior Full Stack Software Engineer (Java / React). Work with Python, Java, JavaScript, React, and Spring Boot. Bachelor's degree in Computer Science, Engineering, or related experience.

Java Full Stack Engineer with Trading experience. Extensive hands-on experience (10+ years) in software design and development, with expertise in Java, Spring API development, and Linux. Expertise in Java, Python, and Linux.

Java Full Stack Engineer with Trading experience. Extensive hands-on experience (10+ years) in software design and development, with expertise in Java, Spring API development, and Linux. Expertise in Java, Python, and Linux.

Job ID: 23531291Reference Number: 24-01148Title: Cloud EngineerLocation: Iselin, NJ, 08830Posted Date: 2024-11-18Contact: Deepak KumarContact Email: dipak@hanstaffing.comContact Phone: (551) 795-0621Company: HAN Staffing Cloud Engineer (AWS cloud, Docker, Kubernetes, with ALM experience).Strong in AWS, Docker, Kubernetes including AWS EKSAdministrative knowledge of ALM tools like Jenkins, Bitbucket, Git, Sonar, etc.Knowledge of Data Streaming Technologies such as Kafka, AWS Kinesis, Apache Spark or Flink as examplesHands-on experience in platform automation with experience in tools such as Docker, Kubernetes, Cloud Formation, Terraform as examplesExperience of working in an agile environment, being a keen learner with an open mind-setNice to have:Hands-on experience in managing and operating DevOps platforms such as Jenkins, Bitbucket, Artifactory, GitHub as examplesApplication Performance Monitoring Tools– AppDynamics, Datadog, Prometheus, Grafana, etcHands-on experience of working with programming languages such as Python, Go for example or with unix scripting or perlBehavioral Skills:Participates as a team member and fosters teamwork by inter-group coordination within the modules of the project.Effectively collaborates and communicates with the stakeholders and ensure client satisfactionTrain and coach members of project groups to ensure effective knowledge management activity.