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Who You Are: The Tableau Developer is a key member of the Data & Analytics team reporting to Director of BI. This role is responsible for designing, developing, and maintaining interactive dashboards and reports using Tableau to support business decision-making. This role partners business stakeholders, data engineers, and analysts to translate complex data into intuitive visual insights while ensuring performance, data accuracy, and best visualization practices. The role will follow Tableau best practices for visualization design, naming conventions, and documentation while also maintaining version control and promoting content across environments (Dev / Test / Prod) On Tableau Cloud. What You'll Do: • Design and develop interactive Tableau dashboards and reports that clearly communicate key business metrics and trends., • Translate business requirements into effective data visualizations using best practices in visual analytics., • Optimize dashboards for performance, scalability, and usability., • Connect Tableau to multiple data sources (e.g., SQL databases, data warehouses, cloud platforms, Excel, APIs)., • Create and maintain data models, joins, calculations, parameters, and filters., • Perform data validation and reconciliation to ensure accuracy and consistency., • Work closely with stakeholders to gather requirements and understand reporting needs., • Provide data-driven insights and recommendations to support strategic and operational decisions., • Conduct user training and enablement sessions when needed., • Monitor dashboard usage and performance., • Troubleshoot data issues, refresh failures, and user access problems., • Enhance and maintain existing dashboards as business needs evolve. You'll Need To Have: • Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field., • 5+ years of Tableau development experience., • Solid understanding of SQL for data querying and validation., • Experience working with relational databases and data warehouses (e.g., Snowflake, Redshift, SQL Server, Oracle)., • Strong knowledge of calculated fields, LOD expressions, table calculations, and parameters., • Strong analytical mindset with attention to detail., • Ability to interpret data and explain insights clearly to non-technical audiences., • Understanding data modeling concepts (facts, dimensions, star schema)., • Excellent communication and stakeholder management skills., • Ability to gather requirements and translate them into technical solutions., • Strong problem-solving and time management skills. We'd Love To See: • Experience with Tableau Cloud administration., • Knowledge of ETL tools like Talend or AWS Glue., • Experience with Python or R for advanced analytics., • Familiarity with Agile / Scrum methodologies., • Tableau certification (Desktop Specialist, Certified Data Analyst, etc.). Capri Perks: • Generous Holiday Schedule & Vacation Days, • Internal mobility across Capri Brands (Michael Kors, Jimmy Choo, Versace), • Cross-brand Discount, • Exclusive Employee Sales, • Fav 5 Cards (MK Discount for friends and family), • 401k Match, • Paid Parental Leave, • Thrive Wellness Program (seasonal in-office massages and more!), • Commuter Benefits, • Gym Discounts CAPRI HOLDINGS is a global fashion luxury group consisting of iconic, founder-led brands Jimmy Choo and Michael Kors. Our commitment to glamorous style and craftsmanship is at the heart of each brand, as we design innovative products across the full spectrum of fashion luxury categories. The unique DNA and heritage of each brand, combined with the diversity and passion of our people, and our dedication to clients and communities, define our success. The Company is an equal employment opportunity employer. The Company’s policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, military status, disability, genetic information or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. At Capri Holdings Limited, we are committed to providing a fair and accessible recruitment process. If you require a reasonable accommodation for the interview or application process, please contact our Talent Acquisition team at . In compliance with certain Pay Transparency laws, employers are required to disclose a salary range. The salary for this position will vary based on role requirements, skill set and years of experience.

Role: Power BI Developer Location: Newark, NJ – Hybrid (2–3 days onsite per week) Duration: 6 months (possible extension or right-to-hire) Position Overview: The team is seeking a Power BI Developer to build and optimize interactive dashboards and reports that support operational, HR, and financial reporting needs. This is a new capability for the group, so the contractor will serve as both a technical expert and mentor, helping existing team members gain Power BI proficiency through hands-on collaboration. The role is highly technical — focused on data modeling, report development, and performance optimization — with opportunities to influence long-term reporting infrastructure. Key Responsibilities • Design, develop, and maintain Power BI dashboards and reports from raw and blended data sources., • Create and manage data models, queries, and calculations using DAX (Data Analysis Expressions)., • Develop SQL-based data extractions and transformations from multiple data sources., • Integrate and validate data from various sources (SQL Server, Redshift, AWS Athena, manual datasets, etc.)., • Partner with internal team members to share Power BI knowledge and build internal reporting capability., • Perform data cleansing, validation, and transformation for reporting accuracy., • Provide recommendations on visualization best practices and data storytelling. Required Skills • Power BI Expertise: Minimum 5 years of hands-on experience building dashboards, reports, and DAX calculations., • SQL Proficiency: Ability to write complex queries, join and merge datasets, and build custom data views., • Data Modeling: Experience transforming raw data into structured, report-ready formats., • Attention to Detail: Strong ability to validate, cleanse, and troubleshoot complex data sets., • Visualization & Reporting: Knowledge of chart design, KPIs, and clear data representation. Nice-to-Have Skills • Experience with Redshift, AWS Athena, or other cloud data platforms., • Exposure to Azure Data Fabric or similar modern data frameworks., • Familiarity with Tableau and Excel (current team tools)., • Prior experience in financial, HR, or operational reporting environments. Soft Skills & Team Fit: • Strong communicator able to explain technical concepts to non-technical users., • Collaborative and open to mentoring other team members., • Detail-oriented with a proactive, problem-solving mindset. Key Takeaways • The team lacks current Power BI expertise — this role will establish that foundation., • Must be technically strong in both SQL and Power BI (including DAX)., • Data will often be raw and unstructured, requiring someone comfortable with data wrangling., • Ideal candidate is experienced, detail-oriented, and collaborative, with at least 5 years of Power BI experience., • Potential long-term opportunity if contractor demonstrates value.

Build and scale enterprise Kafka infrastructure using Confluent Cloud and Platform across hybrid environments. Design event-driven architectures, automate deployments with Terraform/CI/CD, optimize performance, ensure security compliance, and troubleshoot distributed streaming systems at scale. Must Have: • 5+ years Kafka (2+ years Confluent Cloud/Platform, Kafka Connect, Schema Registry, ksqlDB), • Expertise in hybrid cloud Kafka deployments (AWS/Azure/GCP + on-prem), • Strong automation (Terraform, Ansible, Jenkins) and programming (Java, Python, Scala), • Experience with monitoring/troubleshooting distributed systems (Splunk, Datadog, Prometheus)

Hybrid Remote | Onsite 4 weeks per month in Jersey City, NJ As a senior developer on one of the agile squads you will have the opportunity to work on development/enhancement/support of existing Money Movement applications and contribute to the development of new capabilities within those areas. The teams are involved with many initiatives such as testing automation, paper elimination, digital credentials, and cloud transformation; technology stack will primarily consist of Java, Oracle, and AWS. This Senior Full Stack Software Engineer opportunity would be great for someone looking to utilize their existing skillsets in addition to learning new technologies! The position will require hands-on software development, technical mentoring, cross team collaboration with a diverse and co-located engineering team, and the ability to visualize customer issues as drivers for internal change. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Pay: $60 - $65/hr W2 Responsibilities • Develop new features, • Java/ J2EE (Critical), • JavaScript (Required), • Continuous Integration Tools (e.g. Jenkins, Maven) (Critical), • Code Source Control (e.g. GIT) (Critical), • Communication (written/verbal) (Critical), • Team Player (with respect and integrity) (Critical), • Problem Solving (Required), • Confident/ Self-Aware (Required), • Initiative / Passion for Technology (Required) Experience Requirements • 5+ Years of experience in Software Development., • Application development on Public Cloud - AWS Managed Services, ECS, EC2, EKS, Serverless Framework/Lambda, API Gateway, Step Function, S3, ALB, Route53, • Develop and/or consume REST API using Java, Spring Boot., • Experience writing and performance tuning SQL/Functions/Procedures in transactional database systems such as Oracle, SQL Server, Postgres, • Building test suites using Junit, Mockito, Cucumber, Karate., • Experience in build technologies such as Gradle / Maven, • Experience with tools such as GitHub, Jenkins, uDeploy, Docker, Datadog and Splunk etc. Education Requirements • Bachelor’s degree in computer science or related field required Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . Job ID: JN -012026-104899

Job Title: Senior Software Developer Duration: 12 Months Location: Newark, NJ (Hybrid) Role Overview: Client is seeking a Senior Developer to support the Contract Automation capability within the Product Enablement initiative. This role focuses on automating contract drafting by integrating AWS Cloud, APIs, and SharePoint with OpenText Content Web Document Services (CWDS), reducing manual data entry and improving turnaround time, accuracy, and auditability. The Senior Developer will work within a legacy CWDS platform-a SharePoint-based enterprise application with custom UI components, .NET services, and deep integrations across Azure infrastructure-while supporting stabilization and modernization efforts. Key Responsibilities: • Design and develop API-based integration services (REST/SOAP) supporting automated document generation, • Implement field-level data mapping, transformation logic, validation rules, and core business logic, • Build robust error handling, logging, and monitoring to support traceability and operational support, • Support end-to-end orchestration between AWS Cloud, APIs, and SharePoint, OpenText CWDS, and upstream/downstream systems, • Contribute to process design by supporting end-to-end document generation workflows and exception handling, • Leverage AI developer assistant tools to accelerate development productivity while maintaining engineering standards, • Collaborate with Business Analysts and Quality Engineers to validate mapping logic and expected outcomes, • Support deployment, testing, and production stabilization activities Required Technical Skillsets:, • Application & UI Development, • SharePoint custom applications and integrations, • React-based UI components (including Node.js), • C# / .NET application services Cloud & Platform:, • Microsoft Azure, • Azure SQL Database, • Azure-hosted APIs and deployment pipelines Data & Integration:, • API integration patterns, • XML processing, • Enterprise Service Bus (ESB) Document & Content Management:, • OpenText Documentum and/or FileNet, • Document generation, versioning, and archival workflows Required Qualifications:, • 6+ years of experience in software engineering or integration development, • Hands-on experience implementing enterprise integrations with complex data mappings, • Experience working with legacy platforms in regulated environments

Job Title: Full Stack Engineer Duration: 6 months (Contract to Hire) Location: Newark, NJ (Hybrid 3 days/week) Summary We are seeking talented and motivated Full Stack Engineers at various levels to join our growing technology team. The ideal candidate will be proficient in both front-end and back-end development, with strong problem-solving skills and a passion for building high-quality, scalable software solutions. Key Responsibilities • Design, develop, test, and deploy full-stack applications, • Build efficient and reusable front-end and back-end systems., • Collaborate with product managers, designers, and other engineers to define and deliver new features., • Develop APIs and microservices using modern frameworks and tools., • Ensure application performance, security, and scalability., • Maintain clear documentation and follow best practices in coding and design., • Programming Languages: Java, JavaScript, Python, • Frameworks & Tools: React, Angular, Node.js, Spring Boot, Spring Batch, • Databases: DynamoDB, DB2, Oracle, PostgreSQL, • Other Skills: RESTful API development, version control (Git), CI/CD,, • Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)., • Proven experience in full-stack development (front-end and back-end)., • Strong understanding of software development life cycle (SDLC) and Agile methodologies., • Excellent communication and teamwork skills. Ability to adapt to new technologies and learn quickly.

Posting Type Remote/Hybrid Job Overview As an Advanced Security Engineer focused on Endpoint Security, you will design, build, and operate security controls that protect Relativity's employee endpoints and the enterprise systems they access. You will help establish hardened, standardized, and measurable endpoint security foundations that reduce risk while preserving productivity, partnering closely with IT and Security teams to deliver securebydefault device experiences. This role blends handson software engineering with systemlevel security ownership in a modern cloud environment. Job Description and Requirements Role Responsibilities * Design, implement, andoperateendpoint security controls across laptops and mobile devices * Build automation and tooling to enforce secure configuration baselines and reduce manual effort * Partner with IT on device management, deployment, and lifecycle security * Reduce enterprise risk by hardening devices, limiting standing privilege, and improving visibility * Participate in incident response and endpointrelated investigations in partnership with Cyber teams * Continuously improve endpoint security posture using metrics, telemetry, and risk insights Minimum qualifications: * Bachelor's in Computer Science, Information Security, or equivalent experience. * 2+ years of commercial experience in software developmentand scripting(C#, Python,Javaor other general-purpose modern programming language) with a solid understanding of computer science fundamentals, including algorithms and data structures * Experience securing andoperatingmanaged endpoints at scale * Familiarity with modern device management and endpoint protection concepts * Ability to translate security policy into automated, enforceable controls * Comfort working across teams to deliver secure outcomes without friction * Experience with cloud technologies(preferably Azure),DevSecOpspractices, and automation tools (e.g., GitHub Actions). * Growth mindset and eagerness to learn across engineering and securitydomains. * Ability to take feedback and strive for continual improvement. Preferred qualifications: * Experience securing cloud-native applications / SaaS solutions and networks. * Familiarity with vulnerability scanning and threat protection. * Relevant certifications: * Microsoft Certified: Azure Security Engineer Associate (AZ-500). * Microsoft Certified: Identity and Access Administrator Associate (SC-300). * Knowledge of Zero Trustprinciplesand compliance standards (e.g., GDPR, HIPAA). * Exposure to other cloud platforms(AWS, GCP). Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $104,000 and $156,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Endpoint Security, Network Security, Penetration Testing, Security Architecture Design, Security Automation, Security Information, Security Information and Event Management (SIEM), Security Operations, Threat Modeling, Vulnerability Management

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. JOB SUMMARY: The Associate Director, Americas Network Lead will be responsible for endtoend leadership of network infrastructure operations across all sites in the Americas region. This will include ownership of Eisai's hybrid network ecosystem, encompassing SDWAN, campus/LAN networks, wireless, cloud connectivity, remote access solutions, Zscaler (ZIA/ZPA), global firewall standards, DNS/DHCP/IPAM, IDS/IPS, NAC, NDR and secure internet egress infrastructure. Reporting to the Americas Infrastructure Lead & Global Network Lead, this role will ensure high availability, reliability, and optimization of the network and adjacent infrastructure components that support businesscritical operations. The individual will collaborate with U.S. Regional Leads, Global Functional Lead, Global Infrastructure teams, IT Security, and site leadership to align operations with defined network standards, global architectures, Zero Trust principles, and compliance frameworks. The role will include oversight of onsite infrastructure resources, network vendors, and managed service partners, with a focus on operational excellence, security, and business continuity. ESSENTIAL FUNCTIONS: Infrastructure & Network Operations Leadership • Lead daytoday operations of Eisai's Americas network environment, including SDWAN architecture, LAN/WAN, WiFi, remote access, Zscaler ZIA/ZPA, and AWS cloud network connectivity (VPCs, Transit Gateway, routing, and segmentation)., • Ensure high availability, reliability, and performance of critical network services supporting research, manufacturing, labs, corporate offices, commercial operations, and cloud workloads., • Oversee incident, problem, and request management for all networkrelated issues, ensuring rapid remediation and adherence to SLA expectations., • Implement proactive monitoring, telemetry, and performance optimization using tools such as ThousandEyes, SolarWinds, Zscaler analytics, and CloudWatch., • Maintain standardized network configurations, ensuring adherence to global network architecture, Zero Trust, segmentation, and firewall policies., • Lead annual and multiyear regional network budget planning, ensuring forecasting accuracy and financial alignment to strategic priorities., • Manage ongoing operational spend, licensing, carrier contracts, and cloud networking costs to ensure financial stewardship across the Americas region. Service Desk & Technical Support Oversight • Partner with the service desk and site support teams to streamline escalation paths for network issues and maintain clear troubleshooting runbooks., • Create necessary KB documents to enable IT Service Desk team., • Ensure frontline and L2 staff are equipped with accurate triage documentation and diagnostic guidelines related to network operations., • Define and track KPIs tied to network reliability, incident response, service availability, and user experience., • Drive continuous improvement initiatives and reduce repetitive incidents through root cause analysis. Vendor & Partner Management • Manage strategic vendor relationships, including network carriers, SDWAN providers, Zscaler, firewall partners, monitoring vendors, and managed network services partners., • Oversee SLA adherence, change management, and operational performance across all thirdparty network support agreements., • Conduct and lead quarterly business reviews (QBRs) with all strategic vendors, • Collaborate with procurement and U.S. regional teams for contract renewals, licensing, bandwidth provisioning, and new network service onboarding., • Evaluate technology upgrades, roadmap alignment, and cost optimization opportunities. Backup, Recovery & Business Continuity • Ensure connectivity resilience through redundant WAN paths, HA firewall clusters, diverse internet egress, and cloud failover mechanisms., • Maintain and validate networkspecific DR procedures including SDWAN failover, DNS/DHCP/IPAM recovery, and cloud routing restoration., • Coordinate with global teams to align network DR strategies with enterprise business continuity plans. Collaboration & Communication • Serve as the primary liaison between site operations, global network engineering, cloud networking teams, and IT Security., • Communicate network performance, risks, planned maintenance, and major incidents to regional leadership and stakeholders., • Represent Americas views in global architecture discussions related to Zero Trust, segmentation, cloud expansion, cyber controls, and service reliability., • Plan, coordinate, and execute regional network projects including SDWAN upgrades, Zscaler policy rollouts, firewall refresh cycles, wireless modernization, cloud connectivity expansions, and site readiness for business initiatives., • Ensure network projects are delivered on time, within budget, and aligned to global architectural standards. Infrastructure Security & Compliance • Maintain a strong network security posture through strict adherence to Zscaler policies, firewall standards, segmentation rules, and Zero Trust requirements., • Partner with the Security team to analyze vulnerabilities, implement controls, enforce leastprivilege access, and support incident investigations., • Ensure compliance with audit requirements, GxP guidelines, regulatory expectations, and enterprise security frameworks., • Implement logging, alerting, and monitoring across critical systems. Leadership & Team Management • Mentor regional infrastructure personnel, including network engineers and site support teams., • Support workforce planning and develop technical capability roadmaps for the team., • Develop technical capability across the team through skill development, crosstraining, and knowledgesharing., • Foster a culture of ownership, operational discipline, customer focus, and continuous improvement. REQUIREMENTS: Mandatory Experience Requirements: • Bachelor's degree in IT, Computer Science, or related discipline., • The candidate must have a minimum of 10+ years of experience leading network engineering and operations teams in a complex, multisite enterprise environment, • Deep expertise in SDWAN, LAN/WAN, WiFi, firewalls, DNS/DHCP/IPAM, cloud networking, and hybrid network design., • Requires deep, practical experience with cloud networking in AWS and Azure, including VPC/VNet design, routing, security controls, and hybrid connectivity models., • Experience with Zscaler ZIA/ZPA, Zero Trust access models, and secure internet egress architectures., • Strong understanding of network security, segmentation, identitybased access controls, and cybersecurity integration., • Proven ability to lead technical teams and manage vendor partnerships., • Strong troubleshooting, stakeholder communication, and operational leadership skills., • Familiarity with regulated environments and audit requirements., • Able to work hybrid in our Nutley, NJ office (Tuesday, Wednesday, Thursday in office every week). Nice-to-Have Skills/Experience • Experience in pharmaceutical, biotech, manufacturing, or other regulated sectors., • Experience managing MSP-driven operating models., • Familiarity with Fortinet, Cisco, Aruba, AWS/Azure networking tools, Zscaler, and enterprise monitoring solutions., • ITIL certification or experience with ITIL-based processes., • Project management or leadership training certifications. Success Criteria: • Deliver reliable, stable network services across all Americas sites., • Ensure strong vendor/partner performance with consistent SLA/KPI compliance., • Maintain predictable budgeting and costefficient network operations., • Align regional network operations with global architecture and Zero Trust standards., • Reduce networkrelated incidents and enhance overall user experience., • Strengthen support capabilities for Network services across L1-L3 teams with clear processes and documentation., • Represent Americas needs effectively in global planning and ensure alignment with global strategy., • Ensure strict adherence to security, audit, and regulatory compliance requirements across all network services. #MI-LI1 Eisai Salary Transparency Language: The annual base salary range for the Associate Director, Americas Network Lead is from :$173,100-$227,200 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit ___. Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

Role: Power BI Developer Location: Newark, NJ - Hybrid (2-3 days onsite per week) Duration: 6 months (possible extension or right-to-hire) Position Overview: The team is seeking a Power BI Developer to build and optimize interactive dashboards and reports that support operational, HR, and financial reporting needs. This is a new capability for the group, so the contractor will serve as both a technical expert and mentor, helping existing team members gain Power BI proficiency through hands-on collaboration. The role is highly technical - focused on data modeling, report development, and performance optimization - with opportunities to influence long-term reporting infrastructure. Key Responsibilities • Design, develop, and maintain Power BI dashboards and reports from raw and blended data sources., • Create and manage data models, queries, and calculations using DAX (Data Analysis Expressions)., • Develop SQL-based data extractions and transformations from multiple data sources., • Integrate and validate data from various sources (SQL Server, Redshift, AWS Athena, manual datasets, etc.)., • Partner with internal team members to share Power BI knowledge and build internal reporting capability., • Perform data cleansing, validation, and transformation for reporting accuracy., • Power BI Expertise: Minimum 5 years of hands-on experience building dashboards, reports, and DAX calculations., • SQL Proficiency: Ability to write complex queries, join and merge datasets, and build custom data views., • Data Modeling: Experience transforming raw data into structured, report-ready formats., • Attention to Detail: Strong ability to validate, cleanse, and troubleshoot complex data sets., • Experience with Redshift, AWS Athena, or other cloud data platforms., • Exposure to Azure Data Fabric or similar modern data frameworks., • Familiarity with Tableau and Excel (current team tools)., • Strong communicator able to explain technical concepts to non-technical users., • Collaborative and open to mentoring other team members., • The team lacks current Power BI expertise - this role will establish that foundation., • Must be technically strong in both SQL and Power BI (including DAX)., • Data will often be raw and unstructured, requiring someone comfortable with data wrangling., • Ideal candidate is experienced, detail-oriented, and collaborative, with at least 5 years of Power BI experience., • Potential long-term opportunity if contractor demonstrates value.

Job Title: Senior Software Engineer Duration: 6+ months (CTH) Location: hybrid (Newark, NJ) Summary As a Senior Software Engineer on the Retirement Strategies Technology team, you will partner with product owners, tech leads, designers, engineers and delivery professionals to deliver quality platforms and products with speed.? You will code, test and debug new and existing applications as you implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to advanced technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. Here is What You Can Expect on a Typical Day Build applications ensuring that the code follows latest coding practices and industry standards, using modern design patterns and architectural principles; remove technical impediments?? Develop high quality, well documented and efficient code adhering to all applicable Prudential standards?? Collaborate with product owners in understanding needs and defining feature stories, tech leads in defining technical design and other team members to understand the system end-to-end and deliver robust solutions that bring about business impact? Write unit, integration tests and functional automation, researching problems discovered by quality assurance or product support, developing solutions to address the problems?? Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day?? Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables. Use programming languages including but not limited to Java, JavaScript, Springboot, Node.js frameworks? The Skills & Expertise You Bring: Bachelor of Computer Science or Engineering or experience in related fields Ability to coach others with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization?? Experience with agile development methodologies and Test-Driven Development (TDD) Knowledge of business concepts tools and processes that are needed for making sound decisions in the context of the company's business Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges Excellent problem solving, communication and collaboration skills Advanced experience and/or expertise with several of the following: Programming Languages:? Java, Java Script; working in distributed systems, object oriented programming, design patterns and design methodology; JAVA services using Spring,, Microservices, multi-threading, Concurrency and parallel processing Frameworks:?Springboot, Node.js Data Store:?NoSQL or Relational Data structures; Data Streaming:?SQS, SNA Application Programming Interfaces (API): Consumption & Development; implementing service oriented architecture (SOA) patterns; Web service technologies such as APIs, REST, JSON, SQL API Management & Integration : Kong, Apigee Unit, interface and end user testing?concepts and tooling (functional & non-functional) Automated testing Accessibility awareness Software security skills?including?secure coding, web application security and ; Solid grasp of security concepts (authentication, authorization, encryption, digital signature, JWT), SSL, web service proxies, firewall, SAML 2.0, OpenID Connect, OAuth 2.0) Dev Ops Tools & Practices: Branching techniques and usage of GitHub; DevOps Software Development Life Cycle (SDLC): Monitoring and logging techniques AWS Core Services across compute, storage, DB, IAM Preferred Qualifications: Strong experience with Domain Driven Development (DDD) AWS cloud native solution development Architecture Patterns Design and critical Thinking Financial/Insurance industry experience is a must, not a plus People Leadership Experience is a plus. Experience with agentic frameworks and AI driven development tools is a major plus [Claude Code, GitHub Copilot etc]

Marketplace Platform Lead Job Overview The Marketplace Platform Lead is responsible for driving the end to end technical architecture and implementation of the enterprise Data Marketplace platform. This role spans stakeholder engagement, architectural definition, integration design, and hands-on leadership throughout implementation. The ideal candidate is a seasoned technical leader with deep experience designing integration patterns, building scalable platforms, and guiding engineering teams through complex cross-system solutions. Key Responsibilities • Lead stakeholder meetings to gather business requirements, align on platform objectives, and clarify workflows and user journeys., • Conduct tool evaluations, build scoring frameworks, and make recommendations on platforms, vendors, and integration technologies., • Define end-to-end Marketplace architecture, including data flows, APIs, domain models, integration strategies, and platform components., • Design and lead the implementation of integration patterns, including API-based integrations, event-driven patterns, workflow orchestration, and cross-system interoperability., • Develop technical designs, architectural documents, and standards for Marketplace workflows, user flows, and extensibility patterns., • Provide hands-on architectural guidance to engineering teams throughout solution design, development, and delivery., • Oversee technical quality, scalability, performance, and security across Marketplace components and integrations., • Collaborate with product, engineering, data, and security teams to ensure compliance with enterprise data governance, privacy, and reliability standards., • 8+ years of experience in software engineering, platform development, or technical architecture roles., • Strong expertise in designing and implementing integration architectures, including REST/GraphQL APIs, event-driven patterns, synchronous/asynchronous messaging, and workflow engines., • Deep understanding of distributed systems, microservices, and cloud-native solutions (Azure, AWS, or GCP)., • Proficiency with API design, messaging systems, and enterprise integration frameworks., • Experience defining technical architecture, data flows, and workflow designs for complex platforms., • Ability to translate business requirements into technical designs, user flows, and actionable engineering plans., • Demonstrated leadership in guiding engineering teams through architectural decisions and implementation., • Strong communication skills with the ability to influence technical and non-technical partners., • Experience evaluating and scoring platforms, tools, or vendor solutions., • Experience building or leading a Data Marketplace platform., • Familiarity with workflow orchestration platforms, rules engines, BPM tools, or catalog management systems., • Experience with enterprise identity systems (OAuth, SAML, SSO), access governance, and data privacy frameworks., • Background working with enterprise data platforms, data governance, or cross-domain integration patterns., • Prior experience leading architectural governance or serving as a platform architect in an enterprise environment.

Role: Java Full Stack Developer Duration: 3+ months Location: Newark, NJ - Hybrid (3 days onsite per week) Note: Full stack developer with Java, React, SQL Server with cloud (AWS, Azure) technologies. Job Description: • Work closely with business partners to understand needs and transform them into testable components., • Employ industry best practices to deliver world-class solutions., • Ensure developed solutions remain compliant with all applicable client's standards., • Drive software development activities to meet schedules and timelines., • Thrives to ensure code quality is high with supporting unit test and automation, and timely delivery., • Research problems discovered by quality assurance or product support with a strong sense of ownership and develop solutions to address the problems., • Stay abreast of emerging technologies and how they can be applied., • Enable change, help accelerate innovation., • Demonstrating experience with taking intelligent risks and leveraging a 'test and learn' mentality., • Committed to a spirit of authentic partnership - to colleagues both internal and external to the organization., • Conduct unit testing and integration testing for functionality., • Ensure that software standards, non-functional requirements and quality targets are met

Title: Business Systems Analyst III Location: Newark, NJ (Remote) Duration: 12 Months Role Overview Client is seeking a Senior Business Analyst to support the Product Enablement and Contract Automation initiative. This role is focused on enabling automated contract generation by establishing accurate, validated, and structured product data that serves as a single source of truth for Group Insurance product offerings. The Senior Business Analyst works closely with business, product, and technology partners to translate contract and product intent into clear data, mapping, and process requirements that support integration between AWS Cloud, APIs, and SharePoint and OpenText Content Web Document Services (CWDS). Key Responsibilities • Partner with Group Insurance business, product, and technology stakeholders to understand contract automation objectives, • Identify, document, and validate field-level data elements required for automated contract generation, • Create data mapping specifications including transformation rules, validation criteria, and business logic, • Leverage AI-assisted tooling to accelerate data discovery, mapping analysis, and documentation, • Facilitate working sessions with business partners to validate data definitions, mappings, and contract logic, • Document end-to-end document generation workflows, including system interactions and exception handling, • Translate validated requirements into consumable artifacts for engineering and quality teams, • Support User Acceptance Testing (UAT) and implementation readiness activities, • Communicate risks, dependencies, and decisions across cross-functional teams Required Qualifications, • 5+ years of experience as a Business Analyst or Business Systems Analyst, • Strong experience with data mapping, data validation, and integration-driven solutions, • Proven ability to validate requirements and outcomes with business partners, • Strong analytical, facilitation, and communication skills Preferred Qualifications, • Experience supporting contract automation or document generation initiatives, • Familiarity with AWS Cloud, APIs, and SharePoint, document management, or content services platforms, • Experience leveraging AI tools to support analysis and requirements documentation

Job Description The MWM/EAM Application Support Analyst is responsible for administering, supporting, and optimizing Mobile Workforce Management (MWM) and Enterprise Asset Management (EAM) applications used across utility operations. This role ensures reliable system performance, resolves complex technical issues, supports integrations, and partners with both business and IT teams to maintain high service availability. The position requires strong analytical skills, deep knowledge of utility operations, and hands-on experience supporting enterprise applications in a regulated environment. Responsibilities • Administer, monitor, and maintain MWM and EAM applications to ensure stable and reliable performance., • Provide Tier 2/3 application support for operations, field, dispatch, and planning teams, including triage, troubleshooting, and root-cause analysis., • Track incidents and service requests in ServiceNow, coordinating resolution with internal teams and vendors; document fixes and workarounds to prevent recurrence., • Execute controlled changes, including configuration deployments, application upgrades, and patching activities., • Ensure data integrity, system security, and compliance with utility/IT controls (access management, audit evidence, change control, documentation)., • Write and optimize SQL queries for troubleshooting, data validation, and operational reporting., • Support integrations and data flows (APIs/interfaces) between MWM/EAM and dependent enterprise systems., • Develop and maintain support documentation such as runbooks, troubleshooting guides, and configuration notes., • Assist with installation, configuration, and troubleshooting of applications on Windows desktops and iOS mobile devices; work with IT teams to resolve device or deployment issues., • Conduct user training and provide ongoing support to ensure optimal application usage., • Perform regular system health checks and proactively identify improvement opportunities., • Assist with planning and execution of new application implementations or major upgrades., • Bachelor's degree or equivalent required., • 5+ years of experience in utility operations and related applications., • Strong background with enterprise asset management and/or mobile workforce management systems (meter management/AMI metering experience is a plus)., • Excellent problem-solving skills, with strong attention to detail., • Strong communication abilities to work effectively with both technical and non-technical stakeholders., • Solid understanding of utility operations and processes., • Hands-on experience supporting MWM and/or EAM systems in a production environment., • Strong SQL skills for troubleshooting, data validation, and reporting (Oracle and/or MS SQL Server preferred)., • Excellent analytical and problem-solving capabilities., • Strong interpersonal and communication skills., • Experience with ITSM and change control processes (ServiceNow/ITIL)., • Ability to support and troubleshoot application installations on Windows PCs and iOS devices, including connectivity, certificate/VPN, and compatibility issues., • Knowledge of IT security best practices., • Strong data analysis and reporting abilities., • Understanding of compliance expectations within regulated utilities., • Ability to translate business requirements into actionable technical solutions., • Proficiency in creating and maintaining support documentation., • Experience working within agile methodologies., • Experience with IFS MWM and/or specific EAM platforms (HxGN, Kloudgin)., • Exposure to meter management or AMI systems (e.g., Sensus, Itron, Neptune)., • Experience supporting integrations and APIs, and coordinating issue resolution across internal teams and vendors., • Exposure to scripting/automation tools (Python, PowerShell)., • Cloud infrastructure certification (e.g., AWS) is a plus.

Job Description The position requires strong analytical skills, deep knowledge of utility operations, and hands-on experience supporting enterprise applications in a regulated environment. Responsibilities • Administer, monitor, and maintain MWM and EAM applications to ensure stable and reliable performance., • Provide Tier 2/3 application support for operations, field, dispatch, and planning teams, including triage, troubleshooting, and root-cause analysis., • Track incidents and service requests in ServiceNow, coordinating resolution with internal teams and vendors; document fixes and workarounds to prevent recurrence., • Execute controlled changes, including configuration deployments, application upgrades, and patching activities., • Ensure data integrity, system security, and compliance with utility/IT controls (access management, audit evidence, change control, documentation)., • Write and optimize SQL queries for troubleshooting, data validation, and operational reporting., • Support integrations and data flows (APIs/interfaces) between MWM/EAM and dependent enterprise systems., • Develop and maintain support documentation such as runbooks, troubleshooting guides, and configuration notes., • Assist with installation, configuration, and troubleshooting of applications on Windows desktops and iOS mobile devices; work with IT teams to resolve device or deployment issues., • Conduct user training and provide ongoing support to ensure optimal application usage., • Perform regular system health checks and proactively identify improvement opportunities., • Assist with planning and execution of new application implementations or major upgrades., • Bachelors degree or equivalent required., • 5+ years of experience in utility operations and related applications., • Strong background with enterprise asset management and/or mobile workforce management systems (meter management/AMI metering experience is a plus)., • Excellent problem-solving skills, with strong attention to detail., • Strong communication abilities to work effectively with both technical and non-technical stakeholders., • Solid understanding of utility operations and processes., • Hands-on experience supporting MWM and/or EAM systems in a production environment., • Strong SQL skills for troubleshooting, data validation, and reporting (Oracle and/or MS SQL Server preferred)., • Excellent analytical and problem-solving capabilities., • Strong interpersonal and communication skills., • Experience with ITSM and change control processes (ServiceNow/ITIL)., • Ability to support and troubleshoot application installations on Windows PCs and iOS devices, including connectivity, certificate/VPN, and compatibility issues., • Knowledge of IT security best practices., • Strong data analysis and reporting abilities., • Understanding of compliance expectations within regulated utilities., • Ability to translate business requirements into actionable technical solutions., • Proficiency in creating and maintaining support documentation., • Experience working within agile methodologies., • Experience with IFS MWM and/or specific EAM platforms (HxGN, Kloudgin)., • Exposure to meter management or AMI systems (e.g., Sensus, Itron, Neptune)., • Experience supporting integrations and APIs, and coordinating issue resolution across internal teams and vendors., • Exposure to scripting/automation tools (Python, PowerShell)., • Cloud infrastructure certification (e.g., AWS) is a plus.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:We are seeking a highly motivated IT Systems Support Engineer to be based at our New Jersey headquarters. As our second IT hire, you will be a key bridge between hands-on user support and deep-tier systems engineering, reporting directly to and collaborating closely with Thea Energy’s Director - IT across all things infrastructure, security, and support. This is a high-impact, high-ownership role for someone who enjoys building robust systems from the ground up. You'll ensure our scientists, engineers, and executives have a frictionless path to the tools they need - with a leading role in shaping how the Company’s digital foundation is built.Key Responsibility Areas:This role spans both strategic and operational IT, from supporting our scientists and engineers day-to-day to building the systems and automation that scale with the Company. • Own day-to-day IT operations as a primary point of contact for user support, while continuously building and improving the underlying infrastructure., • Design and deploy automated workflows to ensure smooth employee onboarding, offboarding, and lifecycle transitions., • Manage physical and virtual server environments, ensuring high availability, consistent patching, and strong security practices., • Optimize cloud environments, manage identity and access, and maintain a strong security posture across the organization., • Maintain office and lab network infrastructure - including VPNs, firewalls, switches, and Wi-Fi - ensuring reliable, low-latency connectivity., • Build and maintain a thorough knowledge base: clear documentation and infrastructure diagrams that the whole team can rely on., • Manage hardware and software lifecycles, including inventory, procurement, and vendor relationships., • Administer and maintain our MDM environment: managing device enrollment, compliance policies, and configuration profiles across Windows and macOS., • Implement and uphold security best practices to protect mission-critical intellectual property and research data., • Proactively identify and reduce technical debt through automation and process improvement.Ideal Experience & Skillsets:, • 5+ years of experience in systems engineering and desktop support across Windows and macOS., • Proficiency in PowerShell, Python, or similar scripting/automation tools., • Experience managing network infrastructure, including firewalls, switches, and access points., • Hands-on experience with at least one major cloud platform (Azure, GCP, AWS, or Google Workspace/O365)., • Experience with modern IT ticketing systems (e.g., ServiceNow, Zendesk, Freshdesk) and structured support workflows., • Strong documentation skills - able to translate complex systems into clear diagrams and written guides., • Excellent communication skills - comfortable explaining technical issues to both engineers and non-technical stakeholders., • A collaborative, low-ego approach: equally comfortable supporting a user with a hardware issue and leading a server migration., • Ability to thrive in a fast-moving, high-growth environment where priorities can shift quickly., • Experience across multiple cloud platforms (Azure, GCP, AWS, Google Workspace/O365)., • Background working in a startup, research, or scientific/engineering environment., • Familiarity with compliance frameworks or security standards (SOC 2, NIST, etc.)., • Experience with email security platforms (e.g. Barracuda, Proofpoint, Mimecast)., • Familiarity with Security Awareness Training tools (e.g. NINJIO, KnowBe4, Proofpoint).Company Benefits:, • Salary range $85,000-$145,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job Title: Data Scientist Duration: 12 months Location: Hybrid (Newark, NJ) and requires your on-site presence on a reoccurring weekly basis as determined by your business. Your manager will provide additional details relative to the specific number of days you are expected to be on-site. Job Description: As a Data Scientist, you will partner with Machine Learning Engineers, Data Engineers, Business Leaders and other professionals to build GenAI and ML models to improve advisor experience, perform lead scoring, and increase sales revenue. You will implement AI and machine learning models that will deliver stability, scalability and integration with other advisor products and services. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to deep technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments, • Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales., • Apply hands-on experience to ensuring best-in-class model development., • Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement., • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure the successful deployment of ML models and application code on Prudential's AI/ML platform., • Bring a deep understanding of relevant and emerging technologies and embed learning and innovation in the day-to-day., • Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies., • Familiarity with Python, SQL, AWS, and JIRA., • Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts., • The Skills and expertise you bring:, • Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs., • Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions., • Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products., • Ability to influence business stakeholders and to drive adoption of AI/ML solutions., • Experience with agile development methodologies, Test-Driven Development (TDD), and product management., • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business, • Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions, • Excellent problem solving, communication and collaboration skills, and stakeholder management Experience and/or deep expertise with several of the following:, • Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude)., • Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products., • Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.

Job Locations US-NJ-Paramus ID 2026-1947 Category Information Technology Type Regular Full-Time The AI Engineer, Biz Ops will build the AIpowered services that form the backbone of our decisionintelligence platform. In this role, you will take AI models developed by AI Scientists and transform them into scalable, productionready applications by designing inference pipelines, APIs, and supporting data flows. You will work closely with Data Engineers to integrate model pipelines with the broader data ecosystem and collaborate with business operations and commercial teams to convert manual, step-driven workflows into AInative services. This includes building reliable batch and realtime inference systems that generate measurable impact across business operations-not limited to any specific domain. This is a highimpact role for engineers who enjoy turning research into products, hardening systems for realworld use, and building the engineering layer that enables AI to operate at scale. While not required, an interest in or exposure to MLOps practices is strongly preferred. Productionize AI/ML models into scalable services (e.g., APIs, batch inference, streaming inference) with strong standards for reliability and performance. • Collaborate with AI Scientists to convert research prototypes into productionready components (feature computation, preprocessing, post-processing, evaluation loops)., • Integrate models with data pipelines built by Data Engineers and ensure seamless endtoend flow from raw data to AIdriven output., • Build and maintain inference pipelines using Python and orchestration frameworks (e.g., Airflow), supporting deployment across cloud and onprem environments., • Implement CI/CD, containerization, and automated testing to ensure safe, repeatable, and automated model deployments., • Establish monitoring and observability for models and services (system metrics, data drift, performance regression, alerting)., • Partner with BizOps and Commercial stakeholders to transform manual workflows into AIenabled services that improve operational decisionmaking., • Optimize end-to-end model serving latency, throughput, and cost using packaging strategies, scaling policies, caching, and parallelization., • Contribute to documentation, reusable templates, and engineering best practices to accelerate AI adoption across the organization., • Education: Bachelor's degree or higher in Computer Science, Engineering, or related technical field., • Experience: 3+ years of software engineering experience, including building or deploying AI systems in production environments., • Skills:, • Strong proficiency in Python for services, pipelines, and ML tooling., • Experience deploying AI models in production across onprem or cloud environments (AWS or Azure)., • Experience with bigdata and orchestration frameworks (e.g., Spark, Airflow) for scalable pipelines., • Strong understanding of software engineering best practices including CI/CD, containerization (Docker, Kubernetes), automated testing, and version control., • Experience with model optimization techniques such as ONNX / ONNX Runtime, model quantization, or other performanceoriented inference tooling. Strongly Preferred • Interest or exposure to MLOps concepts (model registries, feature stores, experiment tracking, automated retraining, monitoring)., • Master's degree or higher in a relevant field., • Experience in regulated industries (e.g., biopharma, healthcare, and finance)., • A portfolio of launched AI/ML projects or contributions to production of AI systems., • Proficiency in SQL and familiarity with modern data warehouses such as Snowflake. Who Thrives in This Role • Engineers who enjoy transforming research into resilient, userfacing products., • Builders who balance rapid iteration with productiongrade engineering standards., • Collaborators who can partner with business teams to convert manual workflows into scalable AI services., • Pragmatic problemsolvers who can operate autonomously and drive impact in ambiguous, crossfunctional settings.

Cloud Engineering, with a focus on network engineering and troubleshooting Expert level proficiency in multiple cloud disciplines. This role is responsible for delivering major transformational initiatives, including AWS Landing Zone deployment, application migration, and multi-cloud rationalization

Your expertise will be crucial in enabling the SAP BDC team to build a modern, scalable data platform that integrates SAP data with cloud-native services from Microsoft, Nvidia, Databricks, AWS, and Google. Integrate Snowflake with SAP data sources and other data platform components, including Datab

About the Role The Forward Deployed Context Engineering Lead (Director) is responsible for designing, deploying, and governing end-to-end context and retrieval architectures that power generative AI and agentic AI solutions for strategic financial services clients. Embedded at client sites using a embedded forward deployment model, this leader translates business imperatives into production-grade AI deployments, context pipelines, tool orchestration frameworks, and evaluation systems that ensure AI workflows are compliant, reliable, and measurable against regulatory and business standards. In highly regulated financial services environments, this role bridges AI innovation with governance frameworks including BCBS 239 (risk data aggregation), NIST AI RMF, ISO 42001, and emerging AI regulations. The holder serves as both a trusted technical advisor and strategic business partner, shaping how AI augments operations. In this role, you will: Strategic Partnership & Client Leadership * Partner with CFO, CIO, COO, Chief Risk Officer, and Chief Compliance Officer to define multi-year AI transformation roadmaps, with emphasis on use case prioritization, governance alignment, and risk-adjusted ROI. * Work "forward deployed" at client sites, embedding within business units and technology teams to own end-to-end solution delivery from discovery through production and value realization. * Lead discovery workshops to uncover high-value AI opportunities, frame problem statements, and shape outcome-driven implementations in core business processes (credit decisioning, market risk, AML/CFT, wealth advisory). End-to-End Context Architecture * Own the complete context fabric that feeds LLMs and agents: data products, RAG pipelines, vector databases, knowledge graphs, semantic layers, tool schemas, memory stores, and orchestration patterns. * Design and oversee implementation of enterprise-scale retrieval systems that integrate multiple data sources (core banking, risk repositories, regulatory data, market data, customer data warehouses) with sub-second latency and high recall. * Architect tool landscapes for agents, defining function schemas, validation rules, pre/post-execution guardrails, and escalation patterns so agents safely interact with core systems (core banking APIs, trading platforms, CRM, regulatory reporting engines). * Establish context quality and freshness standards aligned to use case sensitivity: real-time for trading contexts, hourly for compliance contexts, daily for advisory contexts. AI & Data Governance & BCBS 239 Alignment * Embed data lineage, quality controls, and metadata management into context pipelines to satisfy BCBS 239 principles (completeness, accuracy, timeliness, clarity, granularity) and emerging AI data governance expectations. * Work with Chief Data Officer and data governance teams to ensure context data products meet regulatory lineage requirements, audit trails, and change management protocols. * Design data product contracts that codify context completeness, freshness, and accuracy SLAs and make them machine-readable for automated quality gates. AI Evaluation & Safety Strategy * Define and operationalize comprehensive evaluation strategy covering accuracy, consistency, hallucination detection, bias, fairness, latency, cost, and regulatory compliance by use case. * Establish baseline and continuous metrics for both offline benchmarking (held-out test sets, red teaming) and online monitoring (production feedback, human review, alert escalations). * Partner with Evaluation Engineering and Risk teams to implement automated quality gates in CI/CD pipelines, blocking unsafe or regressing models/prompts/context changes from deployment. * Lead design and execution of red team exercises for high-risk use cases (credit decisioning, investment advice, transaction monitoring), including jailbreak detection, prompt injection, data leakage, and discriminatory output testing. Responsible AI & Governance Integration * Translate NIST AI RMF, ISO 42001, EU AI Act, and internal governance policies into architecture requirements: explainability, auditability, bias monitoring, human oversight, incident response. * Collaborate with Chief Risk Officer, compliance, legal, and audit to define AI governance controls: model risk management, data governance, algorithm risk registers, impact assessments, and escalation workflows. * Establish observability and monitoring frameworks that track AI system health (quality metrics, safety indicators, regulatory drift) and provide dashboards and alerts for business and risk stakeholders. Cloud & Platform Strategy * Own technical platform strategy for AI solutions, including cloud selection (AWS, Azure, GCP), data platform selection (Snowflake, Databricks, Palantir Foundry, Microsoft Fabric), and integration architecture. * Architect secure, scalable, multi-tenant AI infrastructure that meets financial services standards for security, auditability, disaster recovery, and regulatory reporting. * Design and implement MLOps, LLMOps, and model governance workflows to ensure reproducibility, auditability, and rapid, safe iteration on AI solutions in production. Business Development & Executive Engagement * Support go-to-market strategy for AI transformation engagements: solutioning, proposals, statement of work (SOW) development, and executive presentations to C-suite. * Build thought leadership content (whitepapers, case studies, reference architectures) on context engineering, AI governance, and financial services AI transformation. * Mentor and grow a practice or delivery team of context engineers, evaluation engineers, platform engineers, and solution architects to scale repeatable AI capability. Work Model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Dallas, Minneapolis, or Chicago. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations. What you need to have to be considered * 15+ years of experience across software engineering, data engineering, data science, or AI/analytics, with at least 5-7 years leading AI/ML transformation initiatives. * Proven track record leading large-scale AI or digital transformation programs at consulting firms (Deloitte, PwC, Accenture, Cognizant) or equivalent director/senior manager roles in financial services technology. * Demonstrated expertise working in a forward-deployed or embedded model, owning end-to-end solution delivery from architecture through production launch and ongoing optimization. * Hands-on technical expertise in modern AI stacks: LLMs, RAG, vector databases, cloud platforms, and ML engineering practices. * Prior experience in financial services (investment banking, capital markets, wealth management, payments, insurance) or other regulated domains (healthcare, government). * Strong communication skills: ability to translate technical AI concepts for C-suite audiences and facilitate workshops with business and risk stakeholders. These will help you stand out LLM & Agentic Systems * Deep, hands-on understanding of LLM architecture, capabilities, limitations, and fine-tuning approaches; experience with GPT-4, Claude, LLaMA, and domain-specialized models. * Advanced expertise in multi-agent orchestration patterns: hierarchical agents, collaborative agents, tool-using agents, memory strategies, and long-horizon planning for financial workflows. * Proficiency with prompt engineering, in-context learning, chain-of-thought, and few-shot prompting for complex financial reasoning tasks (credit analysis, risk assessment, advisor-style interactions). Context & Retrieval Architecture * Production experience designing and implementing retrieval-augmented generation (RAG) systems, including chunking strategies, embedding models, vector databases (Pinecone, Weaviate, Milvus), and hybrid search (semantic + lexical). * Data engineering expertise: ETL/ELT pipelines, streaming architectures (Apache Kafka, Spark Structured Streaming), data quality frameworks, and metadata management catalogs. * Knowledge graph and semantic layer experience: designing ontologies, entity resolution, relationship extraction, and knowledge graph querying for financial contexts (counterparties, instruments, risk factors, regulatory entities). * Experience with feature stores and data products as foundational context infrastructure; ability to define and operationalize data product contracts. AI Governance, Safety & Evaluation * Familiarity with AI safety and evaluation techniques: benchmark design, task-specific metrics, human-in-the-loop review, red teaming, jailbreak testing, and bias/fairness audits. * Working knowledge of NIST AI Risk Management Framework, ISO 42001, BCBS 239 data governance principles, and emerging financial AI regulations (EU AI Act, Treasury AI guidance). * Experience with model risk management (MRM) frameworks, model cards, impact assessments, and governance workflows for high-risk AI systems in regulated environments. Cloud & Data Platforms * Production architecture and deployment experience on major clouds (AWS-Bedrock, SageMaker, EC2; Azure-Copilot, OpenAI Service, App Service; GCP-Vertex AI). * Proficiency with enterprise data platforms: Snowflake (architecture, Cortex AI), Databricks (LLMs, fine-tuning), Palantir Foundry (ontologies, apps), Microsoft Fabric (data engineering, AI services). * Security, compliance, and observability: encryption at rest/in transit, IAM, audit logging, HIPAA/SOX/GDPR compliance controls, and monitoring/alerting. Software Engineering & AIOps / MLOps * Strong Python and at least one of TypeScript, Java, or Scala; experience building production ML/AI systems, not just prototypes. * Hands-on MLOps, LLMOps, and CI/CD: infrastructure-as-code (Terraform, CloudFormation), containerization (Docker, Kubernetes), experimentation platforms, and model deployment pipelines. * API design and integration: designing REST/GraphQL APIs, integrating AI systems into microservices architectures, event-driven systems, and enterprise applications (core banking, trading systems). We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. Work Authorization: Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship (H-1B, L-1B, L-1A, etc.) Salary and Other Compensation: The annual salary for this position is between $137,250 - $250,500 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: * Medical/Dental/Vision/Life Insurance * Paid holidays plus Paid Time Off. * 401(k) plan and contributions. * Long-term/Short-term Disability. * Paid Parental Leave. * Employee Stock Purchase Plan Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Job Description About the Role: We are seeking a highly skilled Java Developer to join our team in the Information and Media Services industry. As a Java Developer, you will be responsible for developing and maintaining high-quality software applications that meet our clients' needs. You will work closely with our team of developers, project managers, and clients to ensure that all projects are completed on time and within budget. Your work will have a direct impact on the success of our company and the satisfaction of our clients. Minimum Qualifications: • Bachelor's degree in Computer Science or a related field, • 3+ years of experience in Java development, • Strong understanding of object-oriented programming principles, • Experience with Spring Framework and Hibernate, • Master's degree in Computer Science or a related field, • Experience with Agile development methodologies, • Experience with front-end development technologies such as HTML, CSS, and JavaScript, • Experience with cloud-based technologies such as AWS or Azure, • Design, develop, and maintain high-quality software applications using Java, • Collaborate with cross-functional teams to identify and prioritize software features, • Write clean, efficient, and well-documented code, • Troubleshoot and debug software issues As a Java Developer, you will utilize your strong understanding of object-oriented programming principles, as well as your experience with Spring Framework and Hibernate, to design, develop, and maintain high-quality software applications. You will also use your experience with SQL and relational databases to troubleshoot and debug software issues. Additionally, your experience with Agile development methodologies and front-end development technologies such as HTML, CSS, and JavaScript will be beneficial in collaborating with cross-functional teams to identify and prioritize software features. Finally, your experience with cloud-based technologies such as AWS or Azure and DevOps practices such as continuous integration and deployment will be valuable in staying up-to-date with emerging trends and technologies in software development.

Job DescriptionThrive is a NextGen global technology outsourcing provider that empowers small and mid-market organizations to transform their technology into a strategic advantage. Offering a breadth of services from AI and cybersecurity to cloud, compliance, and traditional MSP/MSSP solutions, Thrive’s team of seasoned experts develop strategies that standardize, scale, and automate technology to achieve outsized ROI. From advisory services to a 24×7×365 SOC and NOC, Thrive provides end-to-end IT and cybersecurity management so clients can focus on innovation and growth. Location: hybrid - New York and/or New Jersey office Position Overview: The Director of Corporate Development & M&A is a high-impact, visible leader who will support and help drive the full M&A lifecycle—from sourcing and evaluation through diligence, execution, and post-close integration. This individual will work closely with the SVP of Corporate Development and collaborate cross-functionally with finance, operations, legal, HR, technology, and the integration team. The role provides regular exposure to Thrive’s Executive Leadership Team, Board, and Berkshire Partners. Ideal candidates bring 4–7 years of experience in corporate development, investment banking, private equity, or M&A consulting, with strong strategic, financial, and execution capabilities. Responsibilities: Deal Sourcing & Market Intelligence • Evaluate inbound M&A opportunities and map them against strategic priorities;, • Support proactive sourcing across priority subsectors, geographies, and founder-led ecosystems;, • Build and maintain relationships with founders, bankers, advisors, and industry partners;, • Conduct market mapping, competitive landscape assessments, and sector intelligence;, • Lead financial modeling, valuation analyses, synergy analysis, and scenario planning;, • Build business cases articulating strategic rationale, risks, and financial impact;, • Coordinate cross-functional due diligence from pre-IOI to post-LOI and sign-to-close;, • Manage internal and external stakeholders to ensure timely, cohesive diligence outcomes;, • Support negotiation of key transaction documents with SVP, legal counsel, and Berkshire Partners;, • Collaborate with integration teams to support post-close onboarding and synergy realization;, • Track KPIs and value-creation metrics post-acquisition;, • Conduct strategic assessments and market scans for organic and inorganic growth planning;, • Support capital allocation, annual planning, long-range strategy, and portfolio reviews;, • 4–7 years of experience in corporate development, investment banking, private equity, or related roles;, • Minimum 3 years of hands-on M&A transaction experience, preferably in tech or tech-enabled services;, • Advanced financial modeling and valuation skills;, • Proficiency in Excel and PowerPoint; strong analytical rigor;, • Comfortable interacting with senior executives, founders, advisors, and Board-level stakeholders;, • Highly collaborative with strong cross-functional influence;, • Strong project management abilities in dynamic environments;, • Low-ego, high-integrity, positive team orientation;, • A Proven M&A Record: Thrive has completed 26 acquisitions since 2016, with a 95% employee retention rate within 12 months from acquired companies, • A Wide Customer Base and Global Reach: Thrive serves 2600+ customers around the world, primarily mid-market and sophisticated SMBs. Thrive has a global footprint with offices in multiple countries, including the US, UK, Canada, Australia, Singapore, Hong Kong, and the Philippines Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. Thrive is committed to providing fair and equitable compensation practices for all employees and strive to provide competitive salaries that reflect the value and skills each team member brings to our organization. Salaries are determined according to the job's scope, market data, location, and the candidate’s qualifications, including experience and relevant education. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other legally protected status. Powered by JazzHR 4aypYJVpff

Job DescriptionJob Description Role: Senior Platform Engineer Duration: 6+ Months Location: New Jersey (Hybrid) Job Summary: We are seeking a Senior Platform Engineer with 14+ years of experience in DevOps/DevSecOps and platform engineering to design, build, and automate enterprise container and middleware platforms. The role involves architecting scalable solutions, supporting Kubernetes environments, and driving automation. Key Responsibilities: • Design and implement scalable and highly available platform solutions., • Build and maintain CI/CD pipelines for containerized applications., • Manage Kubernetes platforms (OpenShift preferred; EKS/AKS/GKE acceptable)., • Implement and manage Service Mesh technologies such as Istio., • Automate infrastructure using Terraform (IaC)., • Implement monitoring, logging, and alerting for platform reliability., • Collaborate with security teams to implement DevSecOps practices., • 14+ years of IT experience in Platform Engineering / DevOps., • Strong experience with Kubernetes/OpenShift and containers (Docker/Podman)., • Experience with CI/CD tools (Jenkins, Git, etc.)., • Hands-on experience with Istio Service Mesh., • Experience with Terraform (Infrastructure as Code)., • Cloud experience with AWS (preferred) or Azure., • Scripting skills (Shell, Python, Groovy, or PowerShell)., • Experience with IBM Event Streams, IBM MQ, or IBM App Connect., • Knowledge of IBM CloudPak or WebSphere products.Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description Job Title: Java/Node.js Engineer – Security Remediation & Technical Debt Automation Location: NJ or STL (Hybrid) Employment Type: Contract Experience Level: 7+ years Rate : 55-60$/Hr on 1099 / C2C About the Role We are seeking a highly skilled Java/Node.js Engineer with expertise in application security remediation, technical debt reduction, and automated vulnerability fixes. This role involves identifying, triaging, and remediating security vulnerabilities across Java, Node.js, Ruby on Rails, and WordPress applications. You will also drive automated remediation workflows and work with Generative AI tools (e.g., AWS Bedrock) to accelerate secure coding and vulnerability fixes. This position requires collaboration with InfoSec, QA, DevOps, Architecture, and development teams to continuously improve our security posture. Key Responsibilities Vulnerability Remediation & Secure Coding • Analyze, triage, and remediate vulnerabilities identified through SAST, DAST, and SCA tools (SonarQube, Veracode, Checkmarx, Snyk, OWASP ZAP)., • Refactor insecure Java, Node.js, Ruby on Rails, and WordPress codebases to fix issues such as:, • SQL Injection, XXE, XSS, • CSRF, SSRF, • Insecure Deserialization, • Authentication & session management flaws, • Path traversal or file upload vulnerabilities, • Patch and upgrade vulnerable third-party dependencies (Maven, Gradle, npm, Bundler, Composer) and validate remediation results., • Harden and secure configurations across:, • Spring Boot APIs, • Node.js/Express.js services, • Ruby on Rails frameworks, • WordPress environments and plugins, • Integrate security checks and automated remediation into CI/CD pipelines (Jenkins, GitHub Actions)., • Build or enhance AI-driven security workflows using AWS Bedrock or equivalent GenAI platforms:, • Auto-generate secure code patches, • Summarize vulnerability reports, • Suggest prioritized fixes, • Provide real-time security recommendations for developers, • Identify and fix legacy security issues across Java, Node.js, Rails, and WordPress applications., • Modernize outdated components, remove deprecated libraries, and refactor insecure patterns., • Work closely with InfoSec and QA teams to validate fixes, perform rescans, and close vulnerability tickets., • Partner with development teams to promote secure coding best practices., • Stay current on OWASP Top 10, CWE/SANS 25, CVEs, and emerging security threats across multiple tech stacks. Required Skills • Strong hands-on experience with Core Java, Spring Boot, REST APIs, Tomcat, and secure Java coding., • Proficiency in Node.js, Express.js, JavaScript/TypeScript., • Exposure to Ruby on Rails and WordPress, with the ability to assist in vulnerability remediation and secure configuration., • Strong understanding of application vulnerabilities and mitigation techniques (e.g., XSS, CSRF, SQL Injection)., • Experience with Veracode, Checkmarx, SonarQube, Snyk, or similar scanning tools., • Familiarity with OAuth2/JWT, encryption, secure session management, and API security., • Experience with Docker, Kubernetes, Linux hardening, and AWS cloud security., • Experience using or integrating Generative AI (AWS Bedrock, CodeWhisperer) in security workflows., • Experience with microservices, API gateways, and cloud-native security., • Understanding of OWASP ASVS, threat modeling, and DevSecOps best practices., • Experience with automating remediation workflows using GenAI., • Strong analytical, debugging, and problem-solving skills., • Excellent communication and documentation abilities., • Collaborative mindset with the ability to work across security, development, and DevOps teams., • Self-driven, proactive, and detail-oriented with a commitment to secure, high-quality code.

Job Description Be Part Of A High-Performing Technology Team Join a forward-thinking Commercial Banking technology organization dedicated to building modern, scalable integration platforms that power mission-critical financial systems. This team operates at the center of enterprise application connectivity—designing and delivering high-performance middleware and API solutions that enable seamless communication across global systems and stakeholders. The environment is collaborative, Agile-driven, and innovation-focused, with engineers working closely alongside Product Owners, QA teams, architects, and international business partners. The team values clean architecture, engineering best practices, and thoughtful modernization, while maintaining the stability and rigor required in a regulated financial environment. This role offers the opportunity to contribute to enterprise-scale API platforms supporting global banking operations, including cross-border collaboration with Japanese and English-speaking stakeholders. What’s In Store For You • Opportunity to work on large-scale, customer-facing API platforms within Commercial Banking, • Exposure to modern cloud environments and DevOps practices, • Collaborative Agile team culture with strong engineering standards, • Long-term, high-impact initiatives focused on scalability and modernization, • Design, develop, and maintain scalable middleware and RESTful API applications using Java and Kotlin, • Partner with global stakeholders (Japanese and English-speaking) to translate business requirements into technical solutions, • Contribute to application architecture and apply design patterns to ensure scalability and performance, • Write high-quality, maintainable code with unit testing and automation, • Participate in code reviews and promote engineering best practices, • Support CI/CD pipelines and deployment processes in cloud environments (AWS, Azure, or GCP), • Collaborate within Agile sprint cycles to prioritize and deliver features, • 8–10+ years of application development experience, with strong expertise in Java (Kotlin experience is a plus), • Demonstrated experience designing and supporting customer-facing RESTful APIs, • Strong understanding of JSON, web services technologies, and data structures, • Experience applying design patterns in scalable, enterprise-grade applications, • Hands-on experience with Git, Jira, CI/CD tools, and DevOps practices, • At least 1 year of experience working with public cloud platforms (AWS, Azure, or Google Cloud), • Proven ability to deploy applications to production and support the full application lifecycle, • Experience working in Agile development environments, • Professional-level bilingual fluency in Japanese and English (written and verbal), with ability to collaborate across global teams, • Bachelor’s degree in Computer Science or equivalent experience, • Financial services or banking industry experience preferred

Job Description * Candidates with fake experience are advised not to apply. To avoid fake experiences, if the client decides to interview you, they will validate all previous experiences for all projects as well as work documents (h1B, EAD, GC). Please be prepared to provide these. Any fraudulent document will be forwarded to USCIS fraud division by default. This job is hybrid in Newark NJ This position will be hybrid in NJ Transit HQ, 283-299 Market St. Newark, NJ 07102 Our direct client has an opening for Cloud Infrastructure Engineer (759097) This position is for 6 months, with the option of extension, and is the client is located in Trenton, NJ WE CAN WORK CORP TO CORP OR W2. If you are interested, please submit the following: YOUR CURRENT RESUME YOUR HOURLY RATE Experience planning and executing migration of on-premises to cloud based server environments Required 6 Years Azure, AWS, Microsoft Required 6 Years Linux server environments and OS installation & management. Required 6 Years Microsoft Active Directory, Microsoft Exchange, Microsoft Office 365, Windows Severs, Linux Servers, AWS SysOps, VMware vSphere Required 6 Years DevOps toolsets, such as GitHub, Terraform and Ansible. Required 6 Years

Job Description About the Role: As a Java Developer in the agriculture industry, you will play a crucial role in developing and maintaining software solutions that enhance agricultural processes and productivity. Your primary focus will be on creating robust applications that support data management, analysis, and reporting for various agricultural operations. You will collaborate with cross-functional teams to understand user requirements and translate them into technical specifications. The end result of your work will be efficient, scalable, and user-friendly software that empowers farmers and agricultural businesses to make informed decisions. Ultimately, your contributions will help drive innovation and sustainability in the agriculture sector. Minimum Qualifications: • Bachelor's degree in Computer Science, Software Engineering, or a related field., • Proven experience in Java development with a strong understanding of object-oriented programming., • Familiarity with database management systems and SQL., • Experience in the agriculture industry or knowledge of agricultural processes., • Familiarity with frameworks such as Spring or Hibernate., • Understanding of cloud computing and experience with cloud platforms like AWS or Azure., • Design, develop, and implement Java-based applications to support agricultural operations., • Collaborate with product managers and stakeholders to gather and analyze requirements., • Perform code reviews and maintain high standards of software quality through best practices., • Troubleshoot and resolve issues in existing applications, ensuring minimal downtime. The required skills in Java development will be utilized daily to create and maintain applications that streamline agricultural processes. Your understanding of object-oriented programming will enable you to write clean, efficient, and reusable code. Familiarity with database management will be essential for managing and retrieving agricultural data effectively. Preferred skills, such as experience with frameworks, will enhance your ability to develop robust applications quickly. Additionally, knowledge of cloud computing will allow you to contribute to scalable solutions that can adapt to the evolving needs of the agriculture industry.

Job Description Machine Learning Engineer / AI Engineer Newark, NJ Salary: $120,000 – $180,000 Description / Position Overview This role owns the design, deployment, and long-term performance of production machine learning systems that power data-driven products and operational intelligence. The Machine Learning Engineer is responsible for translating business problems into scalable AI solutions. This includes building end-to-end pipelines, deploying models into production environments, and continuously improving model performance. This is an engineering execution role, not a research-only position. Success requires the ability to move models from experimentation to reliable production systems that drive measurable product and operational impact. Requirements • Experience building and deploying machine learning models in real-world production environments, • Strong Python programming capability and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, • Understanding of statistics, probability, and optimization techniques used in machine learning systems, • Experience working with large-scale structured and unstructured datasets, • Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure, • Ability to build and manage scalable data pipelines supporting ML workflows, • Strong collaboration skills working with product, engineering, and data teams Responsibilities Machine Learning Development • Design, train, and optimize machine learning models for real-world business applications, • Build end-to-end ML pipelines including data ingestion, preprocessing, training, and evaluation, • Select appropriate algorithms and modeling approaches based on problem context, • Continuously improve model performance through experimentation and iteration Production Deployment & Infrastructure • Deploy machine learning models into scalable production environments, • Build APIs and services that operationalize machine learning capabilities inside products and systems, • Manage the full model lifecycle including monitoring, retraining, and drift detection, • Ensure reliability, scalability, and maintainability of ML infrastructure Data & Engineering Execution • Work with structured and unstructured data sources to support model development, • Implement feature engineering strategies that improve model accuracy and reliability, • Collaborate with data engineering teams to maintain clean and scalable data infrastructure, • Optimize model performance and resource efficiency in production systems Cross-Functional Collaboration • Partner with product and engineering teams to translate business needs into machine learning solutions, • Communicate technical insights and model behavior to non-technical stakeholders, • Contribute to AI roadmap planning and prioritization of ML initiatives Must-Haves • Proven experience deploying machine learning models into production environments, • Strong Python and ML framework expertise (TensorFlow, PyTorch, or Scikit-learn), • Experience building scalable ML pipelines and APIs, • Experience working with cloud infrastructure (AWS, GCP, or Azure), • Strong understanding of statistical modeling and machine learning fundamentals Final Invitation to Apply If you are a hands-on machine learning engineer who thrives on building real-world AI systems and taking models from concept to production impact, this is an opportunity to own meaningful technology that drives product innovation and operational performance. Contact Email Resume: Apply Online: Refer a friend, get up to $1000!

Job Description Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Solution Architect in Data Engineering to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem. Responsibilities • Manage large-scale data analytics client engagements in a global delivery model, • Work with business executives to understand business requirements and constraints for the success of the program., • Present solutions to technology and business audiences highlighting the robustness of the solution and how it could help generate business value., • Ideating problem solutions leveraging modern trends in data and analytics solutions and related pattern, • Hold discussions on high-level architecture, platforms, and tools fitments for data and analytics solutions, • Steer discussions in strategizing and implementing digital and cloud solutions., • 12+ years of experience in Big Data, data warehouse, data analytics projects, and/or any Information Management related projects, • Prior experience building large-scale enterprise data architectures using commercial and/or open-source Data Analytics technologies, • Design and develop scalable Databricks-based architectures to process and analyze large-scale life sciences data., • Lead end-to-end data platform architecture, including ETL/ELT pipelines, data lakes, data warehouses, and data governance frameworks., • Implement Databricks on AWS, ensuring security, scalability, and performance., • Utilize Delta Lake, Unity Catalog, MLflow, and Databricks SQL for advanced analytics., • Integrate Snowflake, Redshift, Synapse, and other cloud-native data platforms where required., • Ability to produce client-ready solution architecture, business-understandable presentations and good communication skills to lead and run workshops, • Strong knowledge of data manipulation languages such as Spark, Scala, Impala, Hive SQL, Apache Nifi and Kafka necessary to build and maintain complex queries, streaming, and real-time data pipelines, • Data modeling and architecting skills including strong foundation in data warehousing concepts and experience with data warehouse solutions, such as Amazon Redshift, Google BigQuery, or Snowflake Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description AWS DevOps Engineer We are seeking a DevOps / SRE Engineer to design, build, and operate scalable AWS infrastructure with a strong emphasis on deployments, automation, and CI/CD. This role prioritizes enabling fast, reliable software delivery while maintaining high system availability and performance. You will work closely with development teams to streamline deployment pipelines, improve release velocity, and enforce infrastructure best practices. Responsibilities • Design, build, and manage AWS-based Linux infrastructure for scalable application deployments, • Own and optimize CI/CD pipelines to enable reliable, repeatable, and fast deployments, • Manage application releases, deployments, and rollback strategies across environments, • Automate infrastructure provisioning and application delivery using Infrastructure as Code, • Collaborate with development teams to improve build, test, and deployment workflows, • Troubleshoot deployment failures, pipeline issues, and production incidents, • Implement blue/green, canary, and rolling deployment strategies, • Maintain system reliability, monitoring, and alerting for production services, • Optimize performance, scalability, and cost of cloud infrastructure, • Enforce security best practices across infrastructure and deployment pipelines, • Maintain runbooks, deployment documentation, and operational procedures, • Participate in on-call rotation supporting production systems Required Skills • 5+ years of Linux system administration (RHEL, Ubuntu, Amazon Linux, Rocky/CentOS), • 3+ years of AWS experience (EC2, VPC, IAM, S3, EKS, ALB/NLB, CloudWatch), • Strong experience building and managing CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), • Hands-on experience with application deployments in cloud environments, • Proficiency in Bash and Python for automation, • Strong experience with Infrastructure as Code (Terraform preferred, CloudFormation acceptable), • Experience with containerization (Docker) and orchestration (Kubernetes/EKS), • Solid understanding of networking (TCP/IP, DNS, load balancing, firewalls), • Familiarity with observability tools (Prometheus, Grafana, ELK/OpenSearch, Datadog), • Experience implementing deployment strategies (blue/green, canary, rolling updates), • Strong focus on automation, deployment efficiency, and developer enablement, • Comfortable working in fast-paced environments with frequent releases, • Collaborative mindset with strong communication across DevOps and engineering teams, • Benefits are offered such as medical/dental/vision insurance and vacation time. 401k will be obtained as a benefit after 1 full year of service., • You will be placed at our Fair Lawn, NJ office, Please do not apply if you are not local or are not willing to relocate. Cb9hT0HISD

Job DescriptionTitle: Investment Analytics – UI EngineerYour Role:We are looking for a UI/UX Designer & Developer that excels at turning a business concept into a functional web application. The responsibilities will include crafting/reviewing wire frames and then translating them into front-ends that are highly intuitive and flexible. Huge plus if you're the one who can create the wires! The teammate must be able to work in a very fast-paced and dynamic environment and possess exceptional eye for detail and core understanding of user experience principles and best practices of human interface design. Major Duties/Responsibilities: · Work with the Engineering team and Product Owner to ensure the technical feasibility of UI/UX designs, and to ensure the designs are responsive in nature. · Develop and design UI/UX - starting from the Information Architecture through to front end implementation. · Perform unit testing at the page level. · Reviews specifications and provides time estimates on the development of projects and features · Builds reusable code, templates, module, artifacts, and libraries for future use. · Utilizes SEO best practices, ensure site is responsive and adapts to the different break points and screen sizes. · Meet established deadlines.Your team:UBS Asset Management's growth strategy requires a highly scalable and robust global operating platform for effective and efficient investment research, low organizational complexity, ability to grow top line without linear cost growth, and fully align investment with strategic growth priorities. To achieve this goal, Asset Management is renovating its front-office technology stack to. AM Investment Domain Data Program will create a competitive advantage for the business through unique and adaptive data, analytics & research capabilities. Current AM data architecture is highly fragmented and does not satisfy divisional needs. The objective of AM Investment Domain Data Program is to drive a centralized set of services, with data integrity & governance, high performance, smart analytics & flexibility.Skills/qualifications:Minimum Required Skills and Education: · Bachelors (IT/Computer Science Preferred); Master’s Degree preferred (IT/Computer Science Preferred) or equivalent experience · Proficient understanding of web markup language, including HTML5, CSS3, and Web scripting. · Proficient understanding of client-side scripting and JavaScript frameworks, React/Redux (preferred), Angular, jQuery, Bootstap etc. · Strong experience in developing analytics dashboards/charts using D3, with interactive, real time, drill-downs user interactions. · Experience in dealing with various data formats like JSON, XML, binary etc. · Experience with code repository systems, extensive knowledge of responsive design methodologies and ability to integrate with APIs (SVN, Git). · Proficient understanding of cross-browser compatibility issues and design. · Experience in refactoring front-end code to support changes in design requirements. · Knowledge of image authoring tools, to be able to crop, resize, or perform small adjustments on an image. · Excellent ability to manage timelines and be self-directed. · Rapid Prototyping skills and Responsive Design Methodologies including working experience with prototype software · Experience in developing detailed design documentation and shows processing logic for simple programs. · Must have a passion for front end development and be a self-starter. · Ability to work well in a team environment and enjoy collaborating with other team members to provide the best solution. Optional Skills:· Experience backend development using Java, Scala, Python, Node.js · Experience with Cloud architecture & service like AWS, Azure · Strong UX & graphic designer skills

Job Description Job Title: QA Lead / Senior Quality Assurance Engineer Location: NJ or STL (Hybrid) Employment Type: Contract Experience Level: 7+ years Rate: 45$/Hr on 1099/ C2C Overview We are seeking an experienced and detail-oriented Senior QA Engineer to drive quality strategy, test planning, and execution across multiple product teams. This role requires strong technical expertise in both manual and automated testing, leadership capabilities, and the ability to ensure delivery of high-quality, reliable software. The ideal candidate is proactive, collaborative, and passionate about building scalable QA processes. Key Responsibilities • Lead overall QA strategy, planning, and execution across multiple teams or product releases., • Design, develop, and maintain automated test scripts for regression, integration, and functional testing., • Perform manual testing to validate new features, user workflows, usability, and edge cases., • Test vulnerability fixes and ensure the application works as expected, validating that security patches do not introduce regressions or impact existing functionality., • Collaborate closely with developers, BAs, and Product Owners to define clear acceptance criteria and ensure thorough test coverage., • Establish and govern QA processes, standards, and best practices across teams., • Review and analyze requirements, specifications, and technical design documents for clarity, completeness, and testability., • Maintain and improve automation frameworks, integrating them seamlessly with CI/CD pipelines., • Identify, document, prioritize, and track software defects, partnering with engineering teams for timely resolution., • Mentor and guide junior QA engineers in both manual and automation testing techniques. Required • 5+ years of experience in software QA, including 2+ years in a lead or senior QA role., • Strong experience in both manual and automated testing for web or API-based applications., • Hands-on expertise with automation tools such as Selenium, Cypress, Playwright, or Postman., • Solid understanding of QA methodologies, SDLC, and Agile/Scrum practices., • Proficiency with scripting languages such as Python, JavaScript, or Java for automation., • Experience with CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps., • Excellent analytical, debugging, and problem-solving skills., • Strong communication and collaboration abilities., • Experience with API testing and performance testing tools such as JMeter or LoadRunner., • Knowledge of version control systems, particularly Git., • Experience testing in AWS or other cloud environments., • Demonstrated leadership and mentorship within cross-functional teams., • High attention to detail with a passion for delivering high-quality, reliable software., • Ability to balance strategic QA oversight with hands-on participation., • Strong communication skills, able to translate technical issues into clear business outcomes.

Job DescriptionSenior Systems Engineer /Core Infrastructure, VMware *US Citizens or GC Holders *On-site daily in Jersey City, NJ Position Overview We are seeking a highly skilled and experienced Senior Systems Engineer to join our IT Infrastructure team. This role focuses on the design, implementation, management, and optimization of core infrastructure systems with a specialization in VMware and related technologies. The Senior Systems Engineer will play a key role in ensuring the stability, scalability, and security of the organization’s IT infrastructure. Key Responsibilities • Core Infrastructure Management, • Design, deploy, and manage enterprise infrastructure, including servers, storage, and networking components., • Monitor system performance, troubleshoot issues, and implement improvements to ensure high availability and reliability., • Lead infrastructure-related projects, including upgrades, migrations, and system integrations., • VMware Administration, • Architect, implement, and maintain VMware vSphere environments, including ESXi hosts and vCenter servers., • Optimize virtual infrastructure for performance, scalability, and cost-effectiveness., • Manage virtual machine provisioning, snapshots, and backups., • Configuration Management, • Develop and maintain scripts (PowerShell, PowerCLI, Python, etc.) for system automation and process improvements., • Automate repetitive tasks, enhance monitoring capabilities, and ensure system configurations adhere to best practices., • Implement and maintain security measures to protect core infrastructure systems., • Ensure compliance with organizational policies, industry standards, and regulatory requirements., • Collaboration and Leadership, • Work closely with cross-functional teams, including network engineers, database administrators, and application developers., • Mentor junior team members and provide technical leadership. Core Systems and Infrastructure: • Windows Servers: Configuration, management, and performance tuning, • Active Directory (AD): Management of users, groups, and roles, • Group Policy (GPO): Administration and customization, • DNS and DHCP: Configuration and troubleshooting, • Public Key Infrastructure (PKI): Implementation and management, • VMware vSphere, ESXi, and vCenter, • Backup and replication tools: Veeam, Rubrik, Zerto, CommVault, • High-availability design, clustering, and disaster recovery (D.R.) solutions, • SAN, NAS, and Storage Spaces Direct, • Familiarity with NetApp, Dell EMC, and HPE storage solutions, • Tools: SolarWinds, SCOM, PRTG, • Synthetic transactions and real-time alerting, • Performance tuning for Windows servers and virtual environments, • Root cause analysis for recurring performance issues Qualifications • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)., • Experience: Minimum of 7 years of experience in IT infrastructure engineering, with at least 5 years focused on VMware technologies., • Certifications:, • VMware certifications (e.g., VCP, VCAP, or VCDX) are strongly preferred., • Excellent problem-solving and analytical abilities., • Strong communication skills, both written and verbal., • Ability to work independently and collaboratively in a fast-paced environment., • Commitment to continuous learning and professional development.

Job DescriptionCompany Description On-Site 1yr contract $10950/month About the Role We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure. You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value. Job Description • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description Job Title: Senior Product Manager – API Integrations & Technical Support Location : Hybrid Compensation : 50-60$/Hr on C2C/1099 Work Authorization: GC, USC Position Summary We are seeking a Senior Product Manager to lead the strategy, design, and execution of enterprise API integrations and technical support solutions across our healthcare payer ecosystem. This individual will play a key role in enabling secure, scalable, and standards-based interoperability between internal systems, provider networks, third-party platforms, and regulatory agencies. This role demands a deep understanding of API lifecycle management, healthcare data standards (e.g., HL7, FHIR, X12), and enterprise integration strategies, combined with strong leadership and cross-functional collaboration skills. The ideal candidate will have experience delivering technical solutions in complex healthcare payer environments, with a focus on performance, reliability, and supportability. Key Responsibilities · Lead the product lifecycle for API integration capabilities — from strategy and roadmap definition through development, deployment, and ongoing support. · Define and maintain API product specifications, data models, standards, and usage documentation to enable secure and consistent integrations across payer platforms. · Partner with engineering, architecture, data governance, and business stakeholders to map source systems and data requirements to external and internal integration needs. · Drive alignment between business requirements (e.g., provider access, claims integration, eligibility checks) and technical delivery, ensuring APIs meet the performance, security, and compliance needs of a healthcare organization. · Collaborate with technical support teams to define and evolve API error handling, monitoring, versioning, and issue resolution protocols. · Lead technical support strategy for APIs, ensuring partners and developers have the tools, documentation, and guidance needed for successful integration. · Work with analytics and engineering teams to analyze API usage patterns, identify performance issues or opportunities, and define KPIs for platform reliability and customer satisfaction. · Facilitate cross-functional planning and agile execution, including backlog grooming, sprint prioritization, and go-to-market readiness. · Support enterprise interoperability and compliance initiatives (e.g., CMS Interoperability Rule, TEFCA) by managing APIs and integrations aligned with regulatory requirements. Required Qualifications · 7+ years of experience in product management or technical product leadership, including 3+ years specifically focused on APIs and system integrations in a healthcare payer or similarly complex, regulated environment. · Strong understanding of payer business domains, including claims processing, eligibility and enrollment, provider systems, and EHR/EMR integration. · Proven ability to write or review API specifications and documentation (e.g., Swagger/OpenAPI), data models, and integration guides. · Experience with data mapping, source-to-target documentation, and working with enterprise data teams to align API functionality to source systems. · Deep familiarity with RESTful API design, API lifecycle management, and platforms like Apigee, Mulesoft, AWS API Gateway, or equivalent. · Strong understanding of FHIR, HL7, X12, and other healthcare interoperability standards. · Ability to analyze and report on technical issues, usage trends, and integration KPIs. · Excellent collaboration and communication skills; ability to interface effectively with engineers, business teams, and external partners. · Hands-on experience supporting technical troubleshooting and resolution for partner or internal developer API issues. Education · Bachelor's degree in Computer Science, Information Systems, Healthcare Administration, or a related field required. · Master’s degree or certifications in Product Management, Healthcare IT, or Cloud/Integration Platforms preferred. Preferred Experience · Experience working with or integrating provider portals, clearinghouses, or EHR platforms (e.g., Epic, Cerner). · Knowledge of CMS interoperability regulations, ONC guidelines, and payer data exchange requirements. · Familiarity with service-level management for APIs, including uptime SLAs, support tiers, and incident response. · Prior involvement in modernizing legacy systems or leading digital transformation initiatives in payer environments.

Job DescriptionAHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. The AHEAD Security Specialty Solutions Engineer (SSE) will be focused on security technologies and solutions. The SSE is considered a subject matter expert in this area, with responsibility for selling and designing complex security solutions. The SSE is also considered an organizational thought leader for security within the company. You will work in partnership with sales representatives, practice leaders, and other SSE team members to build a market strategy and assist with account planning for existing and prospective clients. As part of this strategy, you will help sales representatives identify potential security technologies and vendors to partner with for individual clients or in a given region. You will assist with driving this strategy throughout a given campaign. In partnership with other senior and principal SSEs in your practice, you will assist with diagrams, bill of materials, proposal content, and other documentation associated with active security sales campaigns. You will also assist with achieving the proper training and certifications necessary to sell the security solutions we are positioning. Time management and prioritization are essential attributes to be successful. In this capacity, you will work to define security strategies, compare and contrast alternative approaches, and build key relationships, as well as size and configure security products. Positioning and leveraging subject matter experts and other AHEAD consultants is a necessity to scale your effectiveness within accounts. Roles and Responsibilities • Active participation in the AHEAD Security team and related virtual teams., • Be a thought leader within the Solutions Engineering organization, responsible for designing, architecting, and, at times, consulting for AHEAD clients in the security domain., • Build skills, relationships, and industry credibility across many segments to drive product, services, and consulting sales in the security space., • Support the sales teams during engagements by providing advice, solutions, or proposals optimized to meet customer technical and business requirements., • Develop relationships with other Security SSE team members, leaders, and partners in support of sales objectives., • Strategize and execute technical sales calls., • Complete required pre-sales documentation (configurations, pricing, services, presentations, justifications, etc.) quickly and accurately., • Qualify sales opportunities in terms of customer technical requirements, decision-making process, and funding., • Present and market the design and value of proposed AHEAD security solutions and business justifications to customers, prospects, and AHEAD management., • Participate in the mentorship of entry-level team members., • Possess strong, detailed product/technology/industry knowledge in the security domain., • Knowledge of job-associated software and applications. Qualifications, • Experience with any SASE vendor is a significant differentiator, • 3 – 5 years technical experience with security controls in one or more areas such as: Firewalls, IDS/IPS, NTA, NDR, NGAV, EDR, SIEM, Vulnerability Scanning, DLP, Penetration Testing, • Experience in architecture design that brings together and integrates solutions across multiple vendors, • 3 - 5 years acting as a consultant for clients, advising on technical solutions and participating in pre-sales and solution development., • Familiarwith Public Cloud providers: AWS, Azure, GCP, • Ability to grasp new technology concepts quickly and assist others in understanding them as well., • Ability to evaluate new technologies and provide internal training, • Ability to understand customer needs, define requirements, and design solutions, • Ability to develop and present architectural recommendations and implementation/ assessment services, • Expertise with Vendor Configuration Tools Preferred Skills, • Excellent written and verbal communication skills, • Excellent presentation skills, • Strong Technical Aptitude, • Provide technical leadership assuring quality, maximizing team output, • Self-motivated Preferred Certifications, • Industry: CISSP, CISA

Job Description Job Description: Palantir Data Engineer We are seeking a seasoned Data Engineer with 3-7 years of experience in data engineering, cloud platforms and distributed systems, along with 2+ years of hands-on experience with Palantir Foundry/ AIP. The ideal candidate will work on designing scalable data solutions, building robust data pipelines, modelling enterprise datasets and enabling analytics and AI/ML use cases on Palantir Foundry. Experience in the insurance domain is a plus. Location – Jersey City, NJ Key Requirements • 3-7 years of overall experience in data engineering, building and maintaining large-scale data pipelines and platforms., • 2+ years of hands-on experience with Palantir Foundry, including data ingestion, pipeline builder, transformations and working with Foundry datasets and applications., • Experience building interactive applications using Foundry Workshop, Slate and custom frontends using TypeScript., • Proficiency in programming languages such as Python, PySpark, and TypeScript/JavaScript., • Strong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift)., • Deep understanding of microservices architecture and distributed systems., • Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) and their integration into data pipelines., • Experience with big data technologies like Snowflake., • Strong problem-solving and performance optimization skills., • Exposure to modern DevOps practices, including CI/CD pipelines and container orchestration tools like Docker and Kubernetes., • Experience working in agile environments delivering complex data engineering solutions., • Palantir Foundry certification or demonstrated project experience is highly preferred., • 3+ years of work experience with Data Engineering, • 2+ years of work experience with Palantir, • 3+ years of work experience with Python (Programming Language)

Job DescriptionOn-site Position Who You Are You are an innovative and detail-oriented Full-Stack Engineer with a passion for building reliable, secure, and scalable applications. You thrive in complex enterprise environments, enjoy collaborating with diverse teams, and are committed to continuous learning and technical excellence. You’re someone who finds energy in problem-solving, optimizing cloud architectures, and delivering high-quality software that directly impacts millions of users. You take ownership of your work, enjoy mentoring others, and value process discipline — especially in environments that demand precision, performance, and compliance. If you want to grow with a mission-driven company, contribute to world-class projects with global clients like JP Morgan Chase, and help elevate Latin American tech talent to its fullest potential, this is the role for you. Who We Are MAS means “more” in Spanish — and that’s what we stand for. We believe in providing more opportunities, more inclusion, and more impact. Founded by a Latina engineer from Medellín and based in Tampa, Florida, MAS Global Consulting is a 100% Hispanic and woman-owned company, recognized as a Great Place to Work and one of the Fastest-Growing Companies in the US. We connect top Latin American talent with North American clients to build digital, data, and cloud solutions. Our teams are currently helping world-leading organizations like JP Morgan Chase, Johnson Controls, and Dell to modernize platforms, deliver innovation, and scale digital transformation. How You Will Make Impact As a Full-Stack Java Developer, you will design, build, and optimize microservices and customer-facing applications that process massive volumes of secure transactions daily. You will work directly with Chase engineers under a time-and-materials engagement, embedded in agile delivery teams. Your contributions will drive real impact by improving system performance, enhancing observability, and enabling data-driven financial solutions at scale. Key Responsibilities • Design and develop RESTful APIs and microservices using Java (11+), Spring Boot, and Spring Cloud frameworks., • Implement event-driven architectures with Kafka (producers, consumers, schema management, and streaming)., • Deploy and manage services on AWS ECS/Fargate, using Terraform or CloudFormation for Infrastructure-as-Code and Spinnaker for CI/CD automation., • Integrate and maintain data flows with Cassandra, AWS S3, or Spark-based pipelines., • Collaborate with frontend teams using React or Angular to deliver seamless, full-stack solutions., • Leverage Python for automation, data validation, or integration scripting (nice-to-have)., • Ensure quality through Test-Driven Development, automated testing, and continuous integration practices., • Partner with DevOps and QA teams to enhance resilience, scalability, and performance across distributed systems., • Participate in sprint planning, design reviews, and retrospectives while following Agile/Scrum practices., • Champion best practices in security, code quality, and documentation, ensuring compliance with Chase’s standards.You Have:, • BS/BA degree or equivalent experience in Computer Science, Engineering, or related field., • 7+ years of experience building enterprise-grade applications using Java / Spring Boot., • Proven experience developing and deploying microservices on AWS Cloud (ECS, Fargate, Lambda)., • Solid understanding of Kafka, Docker/Kubernetes, and distributed system design., • Hands-on experience with CI/CD pipelines (Spinnaker, Jenkins, or GitHub Actions)., • Experience with frontend frameworks like React or Angular for full-stack delivery., • Familiarity with Cassandra, SQL/NoSQL databases, and data streaming concepts., • Working knowledge of Python3 for automation or data processing (nice-to-have)., • Exposure to observability tools like Datadog, Splunk, or Dynatrace for monitoring and troubleshooting., • Experience working in Agile environments and collaborating in cross-functional teams., • Excellent communication skills — able to explain technical concepts to both engineers and product stakeholders.Bonus Skills (Nice to Have):, • Knowledge of Apache Spark, Flink, or data engineering concepts., • Familiarity with financial services, regulated environments, or compliance-heavy systems., • Experience integrating AI/ML-powered recommendation systems or event-driven personalization logic., • Awareness of performance testing, NFR validation, and resilience patterns (DLQ, retries, fallback).Benefits, • Health: Medical, dental, and vision coverage., • Time Away: Vacation, holidays, wellness days, and parental leave., • Financial: 401(k), basic life, and AD&D insurance. Powered by JazzHR 1Vxvxla96D

Job DescriptionSalary: Competitive salary range: Based on experience and market value Role: AI/ML (This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.) Summary: Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients. About Adidev Technologies Inc. Adidev Technologies,() is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation. Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience. Global Presence:Our diverse employee workforce spans four continents. Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA. How We'll Guide You Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients. Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success. Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients. Career Growth: We facilitate industry experience to propel your technical journey forward. Key Responsibilities: Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions. Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring. Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions. Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences. Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement. Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency. Conduct exploratory data analysis to extract valuable insights and influence strategic decisions. Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks. Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices. What Youll Bring Experience architecting and developing AI or machine learning solutions on platforms such as AWS, Databricks, Azure, Google Cloud and OpenAI. Software engineering and/or Data Engineering background, especially in one of the major clouds. Hands-on experience with Deep Learning, LLM, Python, TensorFlow, PyTorch and other AI frameworks Experience putting ML/AI into production, and ability to talk through best practices and pitfalls. How to Apply: Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise. Perks and Beyond! Competitive salary range: Based on experience and market value Pack your bags! Paid relocation is on us. Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to Embark? we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects. At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth. Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life. Your unique perspective could be the catalyst for our next revolutionary breakthrough

Job Description The position is responsible for assisting in the architecture, design and administration of various physical and private/public cloud-based infrastructure, support and management of multiple operating systems and associated server hardware and cloud. This position ensures installation, upgrade, change control, real-time monitoring, accuracy, coordination, troubleshooting, problem resolution, capacity planning, backup and recovery, and disaster recovery (DR) architecture, design and planning for systems supported. Experience with industry leading scripting/automation toolsets and product suites. 24x7 availability in an OnCall rotation is required. This position requires comprehensive knowledge within a functional area. Work is performed under general direction and is reviewed upon completion for adequacy in meeting objectives and to ensure compliance with processes, standards and policies of the organization. Provides technical solutions to a wide range of difficult and complex problems. Solutions are imaginative, thorough, practical, and consistent with the objective of the organization. May train and mentor less experienced professionals. Essential Duties & Responsibilities: Serve as a primary resource for the design, administration and monitoring of our physical and cloud-based Infrastructure systems and technologies. Maintain understanding of future direction of technologies and products for application or IT systems supported. Analyze, administer, modify, configure and lead patch management for multiple, complex, and/or advanced operating systems. Design, implement and provide real time support and updates for servers and datacenters. Plan or support all phases of moderately complex projects. Implement consistent project management processes and standards for area of specialization. Provide project cost estimates for consideration in functional budget. Provide input to planning groups on the impact of prospective upgrades and work effort required. Perform impact analysis of new or expanding systems and coordinate with personnel to determine upgrades necessary to meet service level requirements. Ensure a high degree of accuracy, coordination and administration of respective data centers, systems and applications. Assist in coordination, and monitoring of systems and system software for problems or needed modifications. Install and upgrade application & infrastructure systems (i.e. operating systems, storage systems, Data Center hardware) independently. Maintain systems including installation of patches, performance monitoring, capacity planning, and tuning. Establish, test, and implement procedures for application or data backup and recovery. Develop, test, implement, and maintain disaster recovery infrastructure, plans and procedures. Provide direction to less experience administrators or technicians on department processes and complex technical issues. Provide 24x7 coverage via an OnCall rotation Minimum Education & Experience: Bachelors Degree in Information Systems, Information Technology, Engineering, and/or related discipline. In lieu of a degree an additional three (3) years' directly related experience will be considered. Minimum of five (5) years' of directly related experience. Preferred Qualifications: Experience planning and executing migration of on-premises to cloud based server environments Azure certifications AWS certification Microsoft certifications Project management Knowledge, Skills, and Abilities: Comprehensive knowledge of Microsoft Server technologies 2016, 2019, 2022 including installation, support and management Comprehensive knowledge of Linux server environments and OS installation & management. Comprehensive knowledge of most aspects of IT design & administration for on-prem, private cloud and public cloud solutions. Comprehensive experience with multiple toolsets and technologies: Microsoft Active Directory, Microsoft Exchange, Microsoft Office 365, Windows Severs, Linux Servers, AWS SysOps, VMware vSphere (ESXi)/NSX, Dell Hardware, Rubrik, Solarwinds monitoring, Azure, AWS, other Cloud based computing. Comprehensive knowledge of fundamental networking/distributed computing environment concepts, such as TCP/IP, DNS and DHCP. Comprehensive knowledge of DevOps toolsets, such as GitHub, Terraform and Ansible. Strong analytical skills and experience; ability to recognize, analyze and solve complex problems. Ability to coordinate the work of third-parties to ensure effective and timely solutions for integration projects and day-to-day troubleshooting. Ability to apply principles of logical thinking to define problems, collect data, establish facts and draw conclusions. Ability to distill data and analysis into high-level reports and summaries. Ability to discern data inaccuracies through technical experience and knowledge. Ability to develop system solutions for operational problems. Ability to write technical instructions in the use of programs and/or program modifications. Ability to plan, implement, test, and troubleshoot system software. Strong collaboration skills to partner effectively across various levels of the organization. Strong oral and written communication skills with the ability to communicate at all levels of the organization. Ability to communicate technical guidance and instruction to users on the use of systems and/or applications. Strong organization and process improvement skills. Ability to effectively handle pressures and demands of deadlines and competing priorities. Ability to handle confidential information and material with the highest degree of professional responsibility. Ability to interact with internal business partners at a senior and management level to clarify requirements and business needs for changes and enhancements. Ability to prioritize tasks to meet business needs, including prioritizing the work of others on the team, when needed. Ability to learn and utilize a working knowledge of broad business environment, energy industry, and corporate operations. Ability to interact in a team environment. Proficient use of Microsoft Office Suite Working Conditions: Ability to produce quality work and meet deadlines in fast paced environment Ability to work non-standard work hours as needed or required to meet established deadlines Ability to work indoors, in an office environment, regardless of whether cubicle, open office or private office Subject to normal office noise levels

Job DescriptionCompany Description Job Description Job title: Full Stack .Net AWS Cloud Developer Location: Newark, NJ Job summary: The client is looking for a versatile and pragmatic Full Stack AWS Cloud Developer to architect, build, and maintain scalable cloud/on-prem hybrid applications. They must have a deep understanding of the front-end and back-end aspects of application development. On the front-end, they must be able to design and implement user interfaces using HTML, CSS, and JavaScript. On the back-end, they must be able to work with SQL and NoSQL databases, web services, and other server-side and serverless resources. They must be able to work across the stack—from intuitive front-end interfaces to robust back-end services—leveraging AWS platform to deliver secure, high-performance solutions. Key Responsibilities are: • Design and develop full-stack applications using modern frameworks (e.g., React, Angular, Node.js, Python, .NET, JavaScript), • Build and deploy cloud-native services on AWS using Lambda, API Gateway, ECS, S3, DynamoDB, RDS, and more, • Implement CI/CD pipelines using Azure Pipelines, GitHub Actions, • Participate in requirements discussions and transform them into useful applications in line with service goals., • Support, maintain and enhance existing applications and fix issues., • Collaborate with peers to create the most effective solution possible using the .Net framework and Microsoft tech stack., • Take responsibility for identifying and reducing technical debt in existing code structure while boosting application effectiveness and improve performance., • Deliver error-free code that complies with secure coding practices., • Able to provide technical assistance for web, mobile, and desktop applications., • Incorporate data storage systems and preserve code quality., • Ensure application security and scalability, following AWS best practices and Well-Architected Framework, • Collaborate with cross-functional teams including DevOps, UX, and product managers to deliver end-to-end solutions, • Monitor and optimize performance using CloudWatch, X-Ray, and other observability tools, • Document architecture and workflows using Confluence, diagrams, and version-controlled README files, • Hands-on experience with AWS services including Lambda, EC2, S3, IAM, and DynamoDB, • Knowledge of authentication/authorization patterns (OAuth2, Cognito, JWT), • Strong debugging, testing, and performance tuning skills, • Knowledge of frontend frameworks like Next.js, Vue, or Svelte Regards, Hameed Shaikh Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionAbout USInterior Marketing Group (IMG) is the premier luxury design and marketing firm specializing in staging, interior design, and property marketing for high-end real estate. Trusted by the industry’s top agents, developers, and homeowners, we create visually compelling spaces designed to captivate buyers and drive results. Our work has been featured in Architectural Digest, Forbes, The Wall Street Journal, The New York Times, Elle Decor, and Bravo’s Million Dollar Listing, making IMG one of the most recognized names in luxury real estate design. We are seeking a detail-oriented and organized Inventory Control Manager to join our staging warehouse team. This role is responsible for overseeing the accurate receipt, tracking, and organization of inventory while also assisting with general warehouse duties. The ideal candidate will have experience in inventory management, receiving shipments, and maintaining a well-organized warehouse environment. Key Responsibilities • Oversee all incoming and outgoing inventory for staging jobs using the RentalWorks system., • Ensure that all items used in staging jobs are accounted for and returned to the warehouse in a timely manner., • Perform regular audits to confirm inventory accuracy and report any discrepancies., • Maintain an organized system for logging damaged, missing, or retired items., • Collaborate with the staging and warehouse teams to coordinate item check-in and check-out processes., • Train new and existing staff on the proper use of the RentalWorks system., • Troubleshoot basic technical issues with the RentalWorks platform or escalate to appropriate support., • Assist in physical inventory counts and help with implementing best practices in inventory management., • Maintain clean, orderly, and safe inventory storage areas., • Provide reports and inventory status updates to leadership as needed.Qualifications & Skills, • Bachelor’s degree in Computer Science, IT, or a related field (or equivalent experience)., • Proficiency in Python for software development and automation., • Experience with inventory management systems or ERP platforms., • Knowledge of database management (SQL, PostgreSQL, or NoSQL)., • Familiarity with networking, cybersecurity, and cloud-based services (AWS, Google Cloud, or Azure)., • Ability to diagnose and resolve technical support issues., • Strong problem-solving and communication skills.Preferred Experience, • Previous experience in inventory control, warehouse operations, or a similar role., • Proficiency with RentalWorks or similar inventory management systems (experience with RentalWorks is strongly preferred)., • Strong organizational and communication skills., • Ability to lift and move items as needed (up to [insert weight, e.g. 50 lbs])., • Comfortable working in a fast-paced, team-oriented warehouse environment.

Job Description ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in five healthcare segments. ELLKAY’s solutions continue to serve laboratories and ambulatory practices and have expanded to empower hospitals and health systems, healthcare IT vendors, ambulatory practices, health plans, and other healthcare organizations with cutting-edge technologies and solutions that drive their growth and interoperability strategies. Today, ELLKAY remains true to our core values, building strong partner relationships and offering unparalleled service and support while providing innovative, scalable solutions to the challenges our customers face in today’s data-rich world. ELLKAY's experience, customer-focused approach, and reputation for innovation, speed, and accuracy differentiate ELLKAY as a premier partner for your interoperability needs and data management strategy. Job Description: We are seeking a Snowflake Data Architect with strong experience designing cloud data platforms and building/orchestrating ETL/ELT pipelines. This role will lead end-to-end data architecture on Snowflake, define standards and best practices, and partner with engineering and business teams to deliver scalable, secure, and high-performing data solutions. The ideal candidate is hands-on, comfortable guiding teams, and experienced in modern orchestration and automation practices. Essential Duties & Responsibilities: • Define strategy for legacy system decommissioning, including data extraction, migration, translation, validation, and long-term archival access., • Architect ETL/ELT data pipelines from legacy electronic medical record (EMR/EHR) systems (e.g., Cerner, eClinicalWorks (eCW), NextGen,) including both structured and unstructured content into the LKOasis platform leveraging Snowflake., • Own and architect the Medallion architecture (Bronze/Silver/Gold layers), establishing standards for ingestion, curation, quality, lineage, and consumption-ready datasets., • Build strategy to identify change records (CDC/incrementals) and implement them in a Medallion (Bronze/Silver/Gold) design so downstream tables always reflect the latest changes., • Design, build, and optimize ETL/ELT pipelines for batch and incremental processing., • Orchestrate pipelines using tools such as Airflow, ADF, dbt or similar schedulers/orchestrators., • Establish and enforce best practices for performance and cost optimization (warehouse sizing, workload isolation, clustering, query tuning)., • Implement Snowflake capabilities such as stages, file formats, Snowpipe, Streams/Tasks, stored procedures, and secure data sharing as needed., • Create data quality, testing, and monitoring frameworks (validation checks, SLAs, alerting, incident triage)., • Develop security and governance controls (RBAC, masking policies, row access policies, audit/logging)., • Partner with stakeholders to translate requirements into curated datasets/data products and documentation., • Lead implementation of Snowflake Container Services (SCS) to run and manage containerized workloads that support data ingestion, processing, and platform integrations within Snowflake., • 7+ years of experience in data engineering and/or data architecture, including 3+ years working with Snowflake., • Proven experience building and orchestrating ETL/ELT pipelines in production environments., • Strong expertise in Snowflake architecture and development (SQL, performance tuning, Snowpipe, Streams/Tasks, UDFs/stored procedures)., • Hands-on experience with at least one orchestration/transformation stack. Airflow and/or dbt preferred., • Strong SQL skills and programming experience., • Experience with cloud platforms and storage (AWS S3, Azure ADLS, or GCP GCS)., • Strong understanding of data integration patterns (CDC, incremental loads, semi-structured data like JSON/Parquet)., • Experience implementing data governance and security controls in cloud data platforms., • SnowPro certification (Core or Advanced). ELLKAY offers a comprehensive and competitive benefit package that starts day one! Including: • Medical, Dental, and Vision benefits, • Employer-paid Life and LTD, • 401k w/ matching – once eligibility is met, • Work/life balance, • Paid Volunteer Program, • Flexible working hours, • Generous FTO, • Remote work options, • Employee Discounts, • Working with talented, collaborative, and friendly people who love what they do, • Professional growth within, • Innovation environment At ELLKAY, we are committed to operating as a hybrid workplace, offering employees flexibility in how they structure their time between in-office and remote work. We recognize the significance of fostering connections, collaboration, and creativity within our office culture and its positive impact on our business. Our philosophy of operating as a hybrid workplace underscores our dedication to enabling employees to tailor work-life balance to their individual preferences. For those who do not live within 40 miles of one of our offices, we are open to considering remote work for candidates whose skills and experience strongly align with the role. While we prioritize a hybrid work environment for most roles, we understand the importance of flexibility and are open to remote work for specific positions and specialized skill sets. For more information on our company, visit . ELLKAY LLC is a Smoke-Free Workplace. ELLKAY, LLC 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.

Job DescriptionCompany Description Veolia in North America is the top-ranked environmental company in the United States for three consecutive years, and the country’s largest private water operator and technology provider as well as hazardous waste and pollution treatment leader. It offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting and resource recovery. Veolia helps commercial, industrial, healthcare, higher education and municipality customers throughout North America. Headquartered in Boston, Veolia has more than 10,000 employees working at more than 350 locations across North America. Job Description Student Exploration and Experience Development (SEED) is a 12-week internship opportunity at Veolia for students to gain hands-on experience in sustainability and ecological transformation. They will work on real-world projects, receive mentorship from industry professionals, and participate in workshops and networking events. The program aims to nurture talent, promote innovation, and foster meaningful connections between students and industry professionals. Overall, the SEED program provides students with the skills, knowledge, and connections needed to make a positive impact in the industry. Program Dates: June 1, 2026 to August 21, 2026. Position Purpose: Internships at Veolia: Gain hands-on experience in at least one career function from Corporate, Engineering, Maintenance, Manufacturing, Operations, Sales, Supply Chain or Technology Primary Duties/Responsibilities: • Assist in setting up and configuring AWS resources (EC2, S3, VPC, Lambda, etc.), • Help with basic Infrastructure as Code using tools like Terraform or AWS CloudFormation., • Support monitoring, logging, and basic troubleshooting of cloud environments., • Participate in automating routine tasks and deployments., • Help test and deploy small platform features or improvements., • Work on documentation for cloud setups and processes., • Join team meetings, stand-ups, and code/infrastructure reviews., • Environments vary by internship function from office to field to plant., • Our aim is to provide tangible industry job experience to each intern.Qualifications Education/Experience/Background: • High School Diploma/GED is required., • Working towards a four year degree and you have Senior status in Computer Science, Data Science, or a related major., • Strong communication skills, including written, verbal, listening, presentation and facilitation skills., • Demonstrated ability to build collaborative relationships. Additional Information Pay Range: $21.00 to $25.00 per hour. Benefits: Interns are considered temporary employees. Medical and basic life insurance coverage is available to temporary employees scheduled to work 20 or more hours per week immediately following 60 days of service. Employees must elect or waive medical coverage within 45 days of their eligibility date. Veolia observes 11 holidays. We are 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 protected veteran status. Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law.

Job Description Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package: Available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are searching for a Senior Full Stack Engineer (Node.js + React) with strong hands-on experience building scalable, high-performance web applications powering complex, data-intensive AI products used by Fortune 500 customers. This role is ideal for an engineer who enjoys owning features end to end—from backend architecture to polished frontend delivery—someone who can design APIs, build scalable services, craft intuitive user interfaces, and ship production-ready features at scale. What Youll Do • Design, build, and maintain scalable full stack applications using Node.js, React, and TypeScript., • Architect and develop robust backend services, APIs, and data models., • Build modern, production-grade web interfaces with React., • Own features end to end, from technical design and implementation to deployment and production support., • Optimize performance across the stack (frontend rendering, API latency, database queries)., • Collaborate closely with product, design, and AI/ML teams to ship user-facing features., • Establish best practices around testing, code quality, observability, and CI/CD., • Improve overall system architecture, scalability, and developer experience., • Debug and resolve production issues across both frontend and backend systems. What Were Looking For • 5+ years of experience as a Full Stack Engineer., • Strong proficiency in Node.js (Express, NestJS, or similar frameworks)., • Strong proficiency in React and TypeScript in production environments., • Experience designing RESTful APIs and working with databases (PostgreSQL, MongoDB, or similar)., • Solid understanding of modern web architecture and distributed systems fundamentals., • Experience building scalable, secure, and high-performance applications., • Familiarity with cloud environments (AWS, GCP, or Azure)., • Comfortable owning features and shipping to production independently., • Strong collaboration skills across product, design, and backend/ML teams. Bonus Points • Experience building data-heavy dashboards or real-time web applications., • Familiarity with modern state management solutions (Redux, Zustand, React Query)., • Experience with event-driven architectures or message queues., • Exposure to AI-driven or ML-powered products., • Startup experience or comfort working in fast-moving, ambiguous environments. Why This Role Will Pivot Your Career • Research pedigree: MIT CSAIL founders with deep AI and systems expertise., • Customer impact: Build products used by Fortune 500 clients., • Industry momentum: Alumni behind major acquisitions (MosaicML Databricks, Run:AI NVIDIA, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding planned for 2026., • Ownership: Lead full stack architecture and mission-critical product features., • Engineering depth: Work on challenging scalability, performance, and AI infrastructure problems. Benefits • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision, • 401(k) Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Job Description Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world. We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization. Requirements Key Responsibilities • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc., • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases., • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring., • Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets., • Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems., • Lead the migration of legacy data systems to modern cloud-based data architectures., • Develop and maintain CI/CD pipelines for data workflows and platform automation., • Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications., • Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices. Required Skills • Strong experience as a Data Engineer working with AWS cloud services., • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools., • Experience building data pipelines using Databricks, Apache Spark, and SQL., • Experience with Apache Airflow for workflow orchestration., • Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks., • Experience with CI/CD pipelines and version control systems (Git)., • Exposure to Generative AI or LLM-based applications., • Experience supporting data pipelines for AI/ML workloads., • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures., • Experience working with LLM APIs or AI frameworks such as LangChain. Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.