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We are currently sourcing for a Software Engineer for CAT Regulatory Reporting Team to work in Jersey City, New Jersey. The Role Software Engineer will be working in development and delivery of high quality, timely and maintainable software solutions in an agile environment which meet functional and non-functional business requirements. This role will involve partner & stakeholder engagement, design and release support. • Designing and implementing technology solutions for the Fidelity Capital Markets Regulatory Reporting business, • Working closely with our business partners to contribute to business-critical initiatives, • Demonstrate software engineering excellence through continuous integration, continuous deployment,, • Keeps current with IT blueprint, frameworks and technologies that would benefit us and improve our productivity; guides junior team members on technology, • Collaborate with multiple stakeholders/large cross functional teams as part of work delivery, • Follows practices and contribute towards innovative solutions to increase productivity, • Bachelor's degree in computer science or related field required, • At least 10 years of software engineering experience, • Strong background in designing and developing large Reporting Platforms., • Extensive experience with KDB+, • Proficient in Linux , python and Java, • Familiar with Control M, • Highly proficient in managing High volume of data set., • Proficient in SQL and a working knowledge of relational and time series databases, • Experience with designing APIs, distributed systems, asynchronous workers and resilient messaging services, • An understanding of microservice architecture and on Prem and cloud-based deployments, • Ability to build reliable software that can withstand unreliable environments, • Can provide leadership and mentorship across small, agile teams in a very collaborative environment where your ideas are welcome, • Solid analytical, communication, and organizational skills, • An interest in and experience with cryptocurrencies and a passion for keeping up to date in the space., • Have the drive and ability to deliver software with a high degree of automation, • Proficient with version control systems and can handle development for multiple releases in parallel, • Have the spirit and willingness to contribute to org level innovation, • Have a learning mindset and is able to demonstrate versatility in addition to your specialization, • Should have the ability to work effectively with both partners and project team members, • Have Knowledge of Agile methodologies or iterative development processes, • Have Knowledge of Acceptance test-driven development a plus., • Have Ability to take ownership, • Coach team members and take accountability for the deliverables, • Excellent collaboration and Interpersonal skills, • Great attitude, being a mentor, team player and effective contributor, • You have Focus on productivity As a Software Engineer you will be an integral part of the Regulatory Reporting team. You’ll get the opportunity to develop your skills, collaborate across Fidelity teams and continue to learn in a fun, collaborative, iterative, and rapidly changing environment. This is a hands-on role where you will write code for product features. It is a great opportunity to build secure, scalable, resilient on Prem and cloud-based services utilizing modern software development practices. You will get the opportunity to develop your skills, collaborate across Fidelity teams and continue to learn in a fun, collaborative, iterative, and rapidly changing environment. The Fidelity Regulatory Reporting Team is responsible for platform services and APIs that report CAT 605 and 606 reporting to FINRA. Platform contains highly advanced KDB software that ingests high volumes of equity and options trading data and generates relevant reports and sends it to FINRA daily. The base salary range for this position is $107,000-216,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate’s relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of ___ to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Most roles at Fidelity are Hybrid, requiring associates to work onsite every other week (all business days, M-F) in a Fidelity office. This does not apply to Remote or fully Onsite roles. Please consult with your recruiter for the specific expectations for this position. Information Technology

Term: Long Term Consulting position Location: Charlotte , NC, new jersey NJ, Plano, TX, Chicago, Seatle, WA, San Francisco, CA, Kennesaw, GA, Richmond, VA (few more ) Position type: Long term contract / contract-to-hire possible Must be 3x onsite/Week Inperson interview is must * *H1B Transfer candidates are WELCOME to apply! Green Card, EAD and US Citizens are encouraged to apply. * About the Role • We are a highly technology-driven platform that has completed a RAG Proof of Concept and is now building a production-grade GenAI platform., • This is not a research role and not a “ChatGPT user” role., • We are looking for engineers who build AI systems, not those who simply use AI tools., • If you have a strong data engineering foundation and have transitioned into GenAI, this role is for you. What You Will Build • A production-ready RAG (Retrieval-Augmented Generation) platform, • RAG-as-a-Service APIs that can be reused by multiple applications, • AI agents to automate enterprise workflows, • Scalable, secure, monitored GenAI services, • This is hands-on engineering work — from data ingestion to APIs to production monitoring Required Skills (Must Have) • Core Engineering, • Strong Python development (real application code, not scripts), • Experience building API-based services (FastAPI or similar), • Comfortable working in multi-repo codebases using VS Code (not notebook-only), • Data Engineering Foundation, • Hands-on experience with Spark / PySpark, • Building and maintaining data pipelines, • Working with large datasets in production environments GenAI / RAG Engineering • Hands-on experience building RAG systems, not just using tools, • Strong understanding of:, • Document ingestion & chunking, • Embedding generation, • Vector databases, • Retrieval logic, • Prompt construction using retrieved context, • Ability to clearly explain RAG architecture end-to-end

Hybrid 50% ON SITE, half remote, work site either Jersey City, NJ or Westlake, TX Our client seeks a Principal Software Engineer to advance an enterprise AI/ML platform within a large, highly regulated industry environment. This role is ideal for a seasoned engineer who has “been around the block” — someone who has designed, built, and operated enterprise-scale platforms and can provide long-term architectural and technical leadership. The role will design and deliver reliable, secure, and cost-efficient capabilities for model packaging, deployment, serving, and observability. You will collaborate with platform engineers and data scientists to operationalize models at scale on AWS, drive standards, and improve reliability and velocity across teams. In this role, you will address complex technical challenges using Python code and have a focus area in delivering machine learning solutions at an enterprise scale. You’ll work on core platform services that enable machine learning and generative AI models to be safely, securely, and cost‑effectively deployed across the organization. A major focus of this role is a Python-based web service that acts as a gateway for AI models. You will be responsible for developing, building, and enhancing platform capabilities that are reliable, secure, and cost-efficient. This position offers the opportunity to collaborate with multiple teams to implement practical and robust solutions widely used in production. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $65.00 to $70.00/hr. w2 Responsibilities • Design, build, and evolve enterprise-scale Python services that support AI/ML and generative AI use cases., • Lead the technical direction and standards for model packaging, deployment, serving, and observability., • Partner closely with data scientists and application teams to operationalize models and accelerate adoption across the business., • Own and enhance a Python-based API and web service used as a gateway for AI tools, including usage tracking and cost controls., • Drive best practices for cloud-native architecture in AWS, with a focus on reliability, security, and cost efficiency., • Define and improve CI/CD pipelines, reusable frameworks, and paved paths to increase engineering velocity., • Lead incident response, root cause analysis, and post-mortems; implement systemic improvements to prevent recurrence., • Mentor senior and mid-level engineers and provide cross-team technical leadership., • Develop and evolve Python based platform capabilities for enterprise-scale ML packaging, deployment, serving, and observability. This will focus on fullstack work as well as model and data observability including drift detection, prediction quality monitoring, uncertainty signals, and diagnostics., • Partner with Data Scientists to package, scale, and operationalize models with clear APIs, guardrails, and automation, work to enable secure, scalable access to traditional and generative models through enterprise gateways and services., • Set platform strategy and standards for ML packaging, deployment, serving, and observability., • Lead cross-platform incident response and post-mortems, driving systemic fixes., • Introduce reusable frameworks and CI/CD templates to enhance engineering velocity., • 8+ years, typically 10+, building and operating production platforms at scale., • Deep Python development experience and distributed systems expertise with production-grade services. Requires In-depth Python development experience, including building APIs and production-grade services., • Familiarity with Java or Groovy (HIGHLY preferred)., • Technical Expertise:, • Deep expertise in Python and distributed systems, requires strong background in distributed systems and enterprise-scale platforms., • Proficiency in Linux and scripting., • Cloud platform leadership, particularly in AWS (S3, Lambda, Batch). Requires extensive experience designing and operating applications deployed in AWS (S3, Lambda, Batch, and related services)., • Experience with DevOps and CI/CD, including Jenkins and Git-based workflows., • Expertise in Infrastructure as Code (CloudFormation, Terraform/OpenTofu)., • ML enablement in production, including model packaging and deployment strategies, requires practical experience enabling ML in production, including deployment strategies, performance tuning, and observability., • Leadership: Cross-organizational technical leadership and mentoring experience.Proven ability to provide long-term design input and technical leadership on complex, enterprise initiatives., • Strong communication skills — able to clearly explain complex systems and design decisions to technical and non-technical stakeholders. Nice to Have • Exposure to Java or Groovy in enterprise environments., • Familiarity with Docker-based frameworks for model packaging and deployment., • Experience with generative AI platforms and managing secure access to tools such as large language models., • Exposure to Azure or GCP in addition to AWS., • Experience in cost governance or usage monitoring for shared platforms. Education Requirements • Bachelor’s degree, Controller’s degree, or equivalent experience in Computer Science, Software Engineering, or a related field., • AWS certification (preferred). Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process. 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 -032026-106119

Job Title: Vice President – AI/ML Engineer (Individual Contributor) Location: Jersey City, Dallas, Menlo Park, Seattle (Onsite) Employment Type: Full-Time About the Company Our client is a leading global investment banking, securities, and investment management firm serving a diverse client base including corporations, financial institutions, governments, and high-net-worth individuals. Headquartered in New York, the firm has a strong global presence across major financial centers. The organization is known for its strong culture built on integrity, excellence, innovation, and teamwork, with a focus on delivering best-in-class solutions to its clients. Business Unit Overview Enterprise Technology Operations (ETO) is part of the firm’s Core Engineering division, focused on delivering scalable production management services. The unit emphasizes operational excellence, automation, and risk reduction through advanced engineering and data-driven solutions. Within ETO, the Production Runtime Experience (PRX) team leverages software engineering, machine learning, and automation to improve monitoring, alerting, and operational workflows across large-scale systems. Team Overview The Machine Learning and AI team within PRX focuses on applying advanced Machine Learning and Generative AI (GenAI) to optimize large-scale infrastructure and application environments. By combining statistical modeling, anomaly detection, predictive analytics, and LLM-driven agentic systems, the team delivers scalable, reliable, and cost-efficient production management solutions. Role Overview This is a hands-on individual contributor role focused on designing and implementing GenAI-powered agentic solutions to improve production operations. You will work on building intelligent systems capable of diagnosing issues, reasoning through complex scenarios, and executing automated actions in large-scale production environments. Key Responsibilities • Design and develop Agentic AI systems using LLMs, retrieval, and secure execution frameworks, • Build and productionize LLM-based solutions, including RAG pipelines and evaluation frameworks, • Integrate AI solutions with observability, incident management, and deployment systems, • Develop systems for automated diagnostics, remediation, and workflow optimization, • Collaborate with engineering and operations teams to translate business needs into AI solutions, • Implement governance, safety, and reliability mechanisms for AI systems, • Optimize performance, scalability, and cost efficiency of AI applications, • Drive engineering best practices, design reviews, and continuous improvement Qualifications • Bachelor’s degree in Computer Science, Engineering, Applied Mathematics, or a related field (Master’s/PhD preferred), • 7+ years of experience in software engineering and/or machine learning Required Skills • Strong programming experience in Python, Java, Go, or C/C++ (Python preferred), • 3+ years building and deploying production-grade machine learning systems, • Hands-on experience with Large Language Models (LLMs) including prompt engineering, fine-tuning, and RAG pipelines, • Experience building agent-based AI systems and tool integrations, • Solid understanding of machine learning algorithms, statistics, and data structures, • Experience with REST APIs, distributed systems, and microservices architecture, • Strong problem-solving skills and ability to work in high-impact environments Preferred Skills • Experience with cloud platforms (AWS preferred), • Familiarity with containerization and orchestration (Docker, Kubernetes), • Experience with MLOps, model deployment, and monitoring frameworks, • Exposure to financial services or large enterprise environments Key Competencies • Strong analytical and problem-solving mindset, • Ability to communicate complex concepts clearly, • Collaborative and team-oriented approach, • High ownership and accountability

As a Data Science/Data Engineer Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims. This internship is ideal for a technically curious, motivated problem-solver who wants hands-on data science experience. RESPONSIBILITIES • Support the design, construction, and optimization of robust data pipelines to enable machine learning and analytical modeling., • Contribute to the design and implementation of data and ML workflows using orchestration tools such as Dagster, Airflow, or similar frameworks., • Help implement data quality checks, validation routines, and monitoring for automated data workflows., • Assist in organizing and managing internal GitHub repositories to standardize ML project structures and best practices., • Collaborate with data scientists and engineers to automate the ingestion, transformation, and delivery of data for model development., • Contribute to initiatives migrating analytical processes into cloud-based data lake architectures and modern platforms such as AWS or Snowflake., • Develop reusable and well-tested code to support analytical pipelines and internal tools using Python and SQL., • Conduct data mining, cleansing, and preparation tasks to build high-quality analytical datasets., • Participate in model development, including data profiling, model training, validation, and interpretation., • Build and evaluate predictive models that enhance profitability through improved segmentation and estimation of insurance risk., • Assist in studies evaluating new business models for customer segmentation, retention, and lifetime value., • Collaborate with business leaders to translate insights into operational improvements and cost efficiencies. QUALIFICATIONS • Currently pursuing or recently completed a Master’s in Data Science, Computer Science, Statistics, Economics, or related field., • Proficiency in Python (Pandas, NumPy, Scikit-learn, XGBoost, or PyTorch) and SQL., • Understanding of data engineering concepts, ETL/ELT workflows, and machine learning deployment., • Exposure to workflow orchestration tools (e.g., Airflow, Dagster, Prefect) and Git/GitHub for collaborative development., • Familiarity with Docker, CI/CD pipelines, and infrastructure-as-code tools such as Terraform preferred., • Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus., • Experience with common modeling techniques (e.g., GLM, tree-based models, Bayesian statistics, NLP, deep learning) through coursework or projects., • Strong analytical, communication, and problem-solving skills., • A self-starter mindset, with attention to detail and enthusiasm for learning new technologies. SALARY RANGE The pay range for this position is $35 hourly. ABOUT THE COMPANY The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent."

Starburst Platform Engineer / Admin Location: Jersey City, NJ/ Plano TX/ Charlotte, NC(preferred location)/ Richmond, VA and Chicago, IL W2 In-person interview Must have: • Develop and enhance their shared platform, Starburst Trino, • Automation with Python and scripting Role Description: • Installation and Configuration of Starburst., • Coordinate/Plan & Execution activities related to platform maintenance, Disaster Recovery and Software release management, • L3+ escalation for Platform Issue resolution, troubleshooting and root cause analysis, • Configuration and tuning of production and lower-level environments, • Perform Capacity & Stability monitoring - Assist with Platform metrics collection and reporting, • Contribute to definition, review, documentation & communication of standards and Best Practices

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

About Diversified: Diversified is a global leader in audio visual and media innovation, recognized for designing and building the world's most experiential environments. Our award-winning team specializes in delivering solutions for the most complex, large-scale and immersive installations. Serving a global clientele that includes major media organizations and retailers, sports and live performance venues, corporate enterprises, and government agencies, Diversified partners with clients to create spaces that bring people together and keep them coming back. What to Expect: At Diversified, we're on a mission to create a world without boundaries, where technology enables all people to connect and experience the moments that matter, wherever they choose to be. With clients spanning the globe and an exciting pipeline of projects across industries, Diversified offers more than just a job. We offer a career path with the flexibility to grow personally and professionally, wherever your ambitions take you. As a Diversified associate, you'll dive headfirst into big, complex, and rewarding projects that push the boundaries of what's possible. Plus, you'll enjoy a flexible work environment, competitive compensation and benefits, and a culture that celebrates diversity and inclusion. IF YOU CAN DREAM IT, YOU CAN DO IT AT DIVERSIFIED. How You'll Contribute: The Senior Microsoft Fabric Data Engineer is responsible for architecting, implementing, and optimizing enterprise-scale data solutions using the Microsoft Fabric platform. This role designs modern lakehouse and warehouse architecture, integrates operational systems via Synapse Link, and helps to ensure strong data governance and compliance through Microsoft Purview. This role partners closely with analytics teams and business stakeholders to deploy features that support advanced reporting, self-service analytics, and AI-driven insights. What You'll Do: • Design and implement enterprise data solutions using Microsoft Fabric, including Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, MS Graph, and Real-Time Analytics., • Develop medallion or similar data architectures within OneLake., • Optimize performance, cost, and scalability across Fabric workloads., • Establish CI/CD processes and DevOps practices for Fabric deployments., • Integrate source systems (ERP, CRM, operational databases) using Fabric, Synapse Link, MDMs, and other ingestion frameworks., • Build and maintain robust ETL/ELT pipelines using Fabric Data Factory capabilities., • Design dimensional and semantic models to support PowerBI and enterprise analytics., • Implement enterprise data governance using Microsoft Purview, including data cataloging and lineage, classification and sensitivity labeling, and policy enforcement and access controls (eg., RBAC)., • Ensure regulatory compliance (eg., GDPR, SOC 2)., • Monitor and optimize system performance, reliability, and availability. Establish logging, alerting, and observability practices., • Support incident response and root-cause analysis for production workloads., • Translate business requirements into technical architecture., • Collaborate with analytics, BI, data science, and application development teams. What You'll Bring: Education/ Certifications: • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent education and experience). Required Skills/Qualifications: • 5+ years of experience in data engineering, data warehousing, or analytics engineering., • 2+ years of hands-on experience with Microsoft Fabric., • Experience designing lakehouse architectures at enterprise scale., • Proficiency in SQL, Python, Spark, etc., • Experience deploying and managing Microsoft Purview for governance and lineage., • Understanding of Azure identity and security (Azure AD/Entra ID, RBAC, managed identities, security principals)., • Understanding of Azure/Fabric billing and utilization analysis., • Experience with CI/CD pipelines (Azure DevOps or GitHub Actions)., • Strong analytical and problem-solving skills. Preferred Skills/Qualifications: • Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Azure Data Engineer Associate)., • Experience with Synapse Link., • Experience with DataBricks, • Experience with MDM platforms (esp. Profisee)., • Experience leveraging data assets from various systems including Microsoft Dynamics 365, PowerBI, SharePoint, Smartsheet, ConnectWise, ExperLogix, D-Tools, ServiceNow, • Experience integrating streaming or near real-time data workloads., • Familiarity with PowerBI semantic models and enterprise BI governance., • Experience implementing data quality frameworks and metadata-driven pipelines., • Knowledge of Delta Lake and open table formats., • Master's degree in a quantitative or technical discipline. What We Offer: Along with competitive compensation, you will be eligible for the following benefits: • Multiple medical plan options to suit your family's needs, • Dental (including orthodontic coverage) and vision plans, • Company paid Basic Life, AD&D, Short-Term and Long-Term Disability Insurance, and Employee Assistance Plan (EAP), • Healthcare and Dependent Care Flexible Spending Accounts (FSA), • 401k with Employer Match, • Paid Time Off and Paid Holidays, • Voluntary Benefits: Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance, Homeowners and Auto Insurance, Supplemental Term and Dependent Life and AD&D, and Legal Services, • Commuter Benefits Diversified is an equal opportunity employer committed to fostering an inclusive and diverse workplace. All aspects of employment will be based on job requirements, individual qualifications, merit, performance, and business need. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected characteristic under applicable law. We believe in fair and equitable hiring practices and strive to create an environment where all individuals feel valued and empowered. If you require a reasonable accommodation to participate in the application or interview process due to a disability, please contact so we can assist you. Our compensation ranges reflect the cost of labor across several US geographic markets. The pay details below range from our lowest geographic market up to our highest geographic market. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills and experience depending on the position offered, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.

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.

Job Title: QA Engineer Location: Hybrid- Newark, NJ Duration: 12 months Overview The Engineering team is seeking a candidate to lead the design and development of AI-powered test automation capabilities across client. This role will leverage AI and LLM technologies to fundamentally transform how functional, regression, and integration testing is created, maintained, and executed. We are looking for someone who combines strong quality engineering fundamentals with a passion for AI-driven development. The successful candidate will define the strategy for AI-powered test automation, build frameworks that use AI to generate and maintain test suites, and establish standards that ensure consistent quality across applications. Key Responsibilities Test Automation & AI Integration • Design and build AI-powered test automation frameworks that leverage LLMs to generate, execute, and maintain test cases for functional, regression, and integration testing, • Develop AI-driven approaches to analyze application code and automatically generate meaningful test coverage, • Build and maintain reusable automation components that integrate AI capabilities into existing test pipelines, • Create self-healing test suites that use AI to adapt to application changes and reduce maintenance overhead Strategy & Standards • Define the overall strategy and roadmap for AI-powered quality engineering across the organization, • Establish standards for test automation quality, coverage thresholds, and AI-generated test validation, • Evaluate and integrate AI/LLM tools into the testing lifecycle, assessing their reliability and enterprise fit, • Define best practices for prompt engineering in the context of test generation and validation, • Track and report on the effectiveness of AI-driven testing compared to traditional approaches Collaboration • Partner with agentic code development and AI tooling teams to ensure quality is embedded throughout the AI-powered SDLC, • Work with development teams to integrate AI-driven testing into their CI/CD pipelines, • Collaborate with InfoSec and compliance teams to ensure AI-generated tests meet enterprise requirements, • Share knowledge and best practices across teams, building organizational capability in AI-powered testing Qualifications Required Experience • Extensive experience in quality engineering, test automation, or software development in an enterprise environment, • Demonstrated experience building and maintaining test automation frameworks, • Strong programming background in multiple languages (Python, JavaScript/TypeScript, Java, etc.), • Experience with AI/LLM tools and platforms (Claude, ChatGPT, Copilot, or similar), • Fluency with Agile delivery methodologies and Test-Driven Development (TDD), • Experience integrating test automation into CI/CD pipelines Technical Skills • Deep knowledge of test automation frameworks and tools (Selenium, Playwright, Cypress, or similar), • Understanding of prompt engineering principles applied to test generation and validation, • Experience with API testing, contract testing, and integration testing patterns, • Familiarity with AI agent frameworks and how they can be applied to testing workflows, • Knowledge of DevOps practices and CI/CD tooling, • Strong technical troubleshooting and problem-solving skills Preferred • Hands-on experience with Claude Code or similar AI development tools, • Experience with MCP (Model Context Protocol) integrations Soft Skills • Ability to define and communicate a technical vision for AI-powered quality engineering, • Strong analytical mindset - able to evaluate AI-generated outputs critically, • Self-directed with ability to work independently while collaborating across teams, • Ability to learn quickly in the fast-moving AI space, • Strong written and verbal communication skills Education - Bachelor's or Master's degree in Computer Science, Information Systems, or related technical field

Job Title: Business Intelligence Engineer Location: Jersey City NJ Contract Job summary: This is Associate BI Engineer role in Corporate Services Technology. This is a hands-on role where candidate will work closely with team leads and will have opportunities to learn different domain and skills under their mentorship. Key responsibilities • Application development and testing, building data integrations between systems, troubleshooting issues, and collaborating with cross‑functional teams to ensure high‑quality technical delivery, • Hands-on Experience in designing reports/dashboards using Power BI., • Hands-on experience in creating data models in Power BI., • Design, develop, and maintain scalable applications and data pipelines using Python, • Troubleshoot, debug, and enhance existing applications and dashboards, • Experience with Git/GitHub., • Assist in database migrations, upgrades, and patching., • Support month end and quarter end processes, • Document process workflows, data flow diagrams Required Qualifications: • 5+ years of industry experience, • Proficiency in Power BI, including dashboard creation, DAX, and data visualization best practices, • Strong hands-on experience with Python (e.g., pandas, NumPy, APIs, scripting), • Experience working with relational databases (e.g., SQL Server, PostgreSQL, MySQL) and in SQL (writing queries, joins, aggregations, stored procedures), • Strong problem-solving and analytical skills Preferred Qualifications Experience working in the finance industry.

Job Title : AI DevOps Engineer Location : Iselin ,NJ Job Description : An AI DevOps Engineer bridges the gap between artificial intelligence development and operations, ensuring that AI models and systems are deployed efficiently, monitored effectively, and maintained reliably in production environments. Key Responsibilities and Duties Formulates system scope through research and fact-finding to develop or modify moderately complex information systems. Evaluates and implements changes to existing system logic difficulties and documentation as necessary. Reviews flow charts, models, and procedures and feasibility studies to design possible system solutions. Reviews technical documentation to guide system users and to assist with the ongoing operation, maintenance, and development of the system. Collaborates with system analysts, engineers, and programmers to design systems and to determine project limitations and capabilities, performance requirements, systems performance standards, and interfaces. Identifies and documents all system constraints, implications and consequences of various proposed system changes. Educates end users on system designs and functionalities through creation of training materials and conducting demos. Evaluates the efficiency and effectiveness of application operations and troubleshooting problems. Skills : LLM ( Claude/ OpenAI) with focus on reasoning/agentic use cases Agentic AI framework LangChain, LangGraph, CrewAI Context Engineering MCP Vector databases RAG Python language proficiency is must. Deep understanding of cloud engineering as related AI, DevOps, Automation Strong troubleshooting and problem-solving abilities Excellent communication skills to work with both data scientists and operations teams Familiarity with agile development methodologies Knowledge of security best practices for AI systems Ability to balance technical requirements with business needs

A financial firm is looking for a Python Engineer to join their team in Jersey City, NJ.Compensation: $150-200K Within this role, you will be responsible for the design, development, testing, support, and maintenance of software applications.The primary technology will be Python, SQL, C#/.Net, middl

Job Title: Security Engineer Duration: 6 months Location: Hybrid (Newark, NJ) Responsibilities • Configure and build applications ensuring that the solution follows latest practices and industry standards for SSPM using modern design patterns and architectural principles; remove technical impediments, • Be responsible for administration of the platform (User/Role management, security configuration, integrations, etc), • Onboard and maintain out of the box integrations to other SaaS tools, • Develop and maintain custom integrations using the AppOmni developer platform (python based) which run in our container environment, • Leverage the AppOmni API to automate functionality, • Partner with stakeholders across the Information Security Office on AppOmni capabilities and support, • Develop high quality, well documented and efficient code adhering to all applicable Prudential standards?that stay aligned with platform vendor roadmap and direction, • Design the business logic and integration patterns with Prudential Ecosystem, using modern integration, data, and security patterns, • 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. The Skills & Expertise You Bring • Bachelor of Computer Science or Engineering or experience in related fields, • Previous technical experience working with SaaS platforms (development/administration), • Experience working with/implementing security controls offered by SaaS tools, • 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 Preferred qualifications: o A strong security focused mindset with relevant experience o A strong understanding of CI/CD principles and running jobs in AWS (Ex. Containers) o Collaboration skills to work with business partners and agile teams o Knowledge of GitHub, DevOps automation tools & practices o Experience with agile development methodologies and Test Driven Development (TDD) o Testing tools such as SOAPUI, Postman, Selenium o Financial/Insurance industry experience is a plus, not a must

One of our clients which is having operations globally is looking a Python Engineer – AI/ML & Basic GenAI , Jersey City, NJ (3 Days onsite/ week). Title: Python Engineer – AI/ML & Basic GenAI. We are seeking a Python Engineer with experience in AI/ML and Generative AI (GenAI), along with

Databricks Fullstack Engineer will be responsible for: Design and implement Databricks Lakehouse / Lakebase platforms using Medallion Architecture, Unity catalog Build and deploy Databricks Apps with Python based backends Develop end-to-end data pipelines (batch & streaming) on Azure Databricks Buil

Current role demand (expressed with variety) SynergisticIT commonly supports hiring pipelines for roles such as junior software programmer, Java full stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and

Job Description Job Description Title: Azure Data Engineer Location: Hybrid/Jersey City, NJ Contract Duration: 12 Months Summary: Experience on ADLS, Azure Databricks, Azure SQL DB and Datawarehouse Strong working experience in Implementation of Azure cloud components using Azure Data Factory , Azure Data Analytics, Azure Data Lake, Azure Data Catalogue Experience: Have knowledge in Azure Storage services (ADLS, Storage Accounts) Expertise in designing and deploying data applications on cloud solutions on Azure Hands on experience in performance tuning and optimizing code running in Databricks environment Good understanding of SQL, T-SQL and/or PL/SQL Should have experience working in Agile projects with knowledge in Jira Good to have handled Data Ingestion projects in Azure environment Demonstrated analytical and problem-solving skills particularly those that apply to a big data environment Experience on Python scripting, Spark SQL PySpark.

Job Description Sourgum is transforming the $100B+ waste and recycling industry through cutting-edge technology that makes waste removal simpler, smarter, and more cost-effective. Our innovative haulsourcing platform powers high-quality waste and recycling services for businesses at significantly lower costs—saving our customers an average of 20%. Leveraging proprietary datasets, an advanced operating system, and a carefully curated network of 5,000+ trusted vendors, we help companies of all shapes and sizes streamline their operations while advancing sustainability efforts. We’re a fast-growing, venture-backed company (just closed our Series A!) on a mission to modernize an outdated industry — and we’re just getting started. Our investors include Spark Capital, Founder Collective, Suffolk Technologies, 186 Ventures, and River Park Ventures, the same funds that backed category-defining companies like Slack, Anthropic, Uber, Venmo, and Amazon Pharmacy. If you’re driven by the opportunity to build something groundbreaking, we’d love to meet you. The Role: We’re looking for a Product Support Engineer who thrives on solving complex problems and improving the stability of our platform. This role is focused on debugging, maintaining, and improving our existing codebase — not testing or identifying bugs, but actually fixing them. You’ll work closely with QA, and the Engineering team to ensure issues are resolved quickly and permanently, helping deliver a more stable and reliable experience for our users. What you’ll be doing: * Investigate, reproduce, and resolve software bugs identified by QA, customers, or internal teams. * Dive deep into the codebase to identify root causes, design effective fixes, and prevent regressions. * Collaborate with Support and Engineering to triage issues and prioritize fixes. * Write high-quality, maintainable code that improves stability and performance. * Contribute automated tests or monitoring to ensure long-term reliability. * Participate in code reviews and contribute to improving overall code quality and technical debt reduction. * Document bug patterns, fixes, and debugging techniques for internal knowledge sharing. * Occasionally support production hotfixes or emergency patch releases in coordination with DevOps or SRE. The qualifications you need: * 3+ years of professional software engineering experience (or strong equivalent skills). * Proficiency in one or more modern programming languages (e.g., Python, JavaScript/TypeScript, Node, Go, C#). * Strong debugging skills — comfortable reading unfamiliar code, logs, and stack traces. * Understanding of software lifecycle, CI/CD pipelines, and version control (Git). * Experience working with QA or support teams on issue resolution. * Curiosity and persistence in root-cause analysis — you like “making things right” more than “starting from scratch.” * (Nice to have) Experience with observability tools (e.g., Sentry, Datadog, Grafana) or issue trackers (e.g., Jira, Linear). Benefits * Company stock options as part of your compensation package, giving you the opportunity to share in our company's success and build long-term financial growth. * A positive and collaborative work environment with a focus on innovation and sustainability. * Flexible/Unlimited PTO * Comprehensive benefits package including health insurance (medical, dental, vision, LTD, Life Insurance, etc.), retirement plans (401K). * Access to hundreds of gyms, studios, and wellness apps—all through one easy membership provided by your Wellhub. * Yearly Personal Development Budget * Opportunities for professional development and career advancement within a growing company.

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

Proficient in coding in Python.

Strong proficiency in Python and software engineering principles. Expertise in GenAI frameworks, prompt engineering, and model serving. The Senior Machine Learning Engineer will play a crucial role in advancing our GenAI capabilities, pushing the boundaries of innovation while ensuring practical app

A major global financial institution seeks a Senior Principal Software Engineer in Jersey City, NJ, to architect and implement data platforms. The role demands expertise in Databricks, Apache Spark, and strong programming skills in Python/Java. Candidates should be adept in building scalable data pi

A leading financial services firm is seeking a Full-Stack Software Engineer to join the Fidelity Labs team.

Job Description:The RoleThe Full-Stack Software Engineer for Fidelity Private Shares in Fidelity Labs is a pivotal role for the continued success and growth of the business. You bring a strong technology background with a passion for coaching and growing engineering talent**The Expertise and Ski

Job Description Fortegra is building a next-generation engineering capability focused on AI-accelerated development and rapid application delivery. We are seeking Full Stack Engineers who thrive in fast-moving environments and have deep experience designing, building, and deploying enterprise-grade applications. The ideal candidate is a high-agency engineer with strong expertise in React-based front-end systems, modern backend frameworks, and secure public-facing application architecture, combined with hands-on experience using AI-driven development tools and agentic coding workflows. Domain experience in Insurance or Financial Services is a big plus. If you are excited about using tools like Claude Code, GitHub CoPilot, Cursor, Lovable, Replit, and other AI-native development tools to dramatically accelerate product development, we want to talk to you. What You’ll Do: Build and Ship Production Applications: • Architect and develop enterprise-grade full stack applications, • Design and build high-quality React front-end systems, • Develop scalable backend services using modern server-side frameworks, • Deploy secure public-facing applications in production environments, • Ensure performance, reliability, and maintainability of distributed systems AI-Accelerated Development: • Use AI coding tools such as Claude Code, CoPilot, Cursor, Replit, Lovable and similar environments to dramatically accelerate development cycles, • Implement AI-driven development workflows including agentic coding, prompt-driven engineering, and automated code generation, • Rapidly prototype and iterate on new product ideas, • Evaluate and integrate emerging AI developer tools Rapid Prototyping and Product Development: • Quickly build and validate new front-end applications and internal tools, • Partner with business stakeholders to transform ideas into working software, • Develop prototypes that evolve into production-ready enterprise systems, • Help establish Fortegra’s modern AI-first engineering culture Security and Production Readiness: • Design and implement secure architectures for public-facing applications, • Implement authentication, authorization, and secure API design, • Apply best practices in application security, cloud security, and compliance Required Qualifications: • 7+ years of professional software engineering experience, • Significant experience designing and deploying enterprise-grade applications, • Expert-level proficiency with React and modern front-end frameworks, • Strong experience with at least one server-side framework such as:, • Node.js / NestJS / Express, • Python (FastAPI, Django), • .NET Core, • Experience building and deploying secure public-facing applications, • Strong knowledge of API design, distributed systems, and cloud architectures, • Hands-on experience using AI coding tools such as:, • Claude Code, • Cursor, • GitHub Copilot, • Replit, • Experience with AI-assisted or agentic development workflows, • Strong ability to prototype quickly and iterate rapidly Preferred Qualifications: • Insurance or Financial Services domain experience, • Experience building AI-enabled products or developer tooling, • Familiarity with LLMs, AI agents, and prompt engineering, • Experience with serverless and cloud-native architectures, • Experience deploying applications in AWS, Azure, or GCP, • Experience building internal platforms or developer tooling, • Startup or high-velocity product development experience What Makes This Role Unique: • Work in an AI-first engineering environment, • Use modern AI developer tools to dramatically accelerate development, • Build production applications from prototype to deployment, • Help shape Fortegra’s next generation product platform, • Join a high-impact engineering team focused on rapid innovation Salary Range $110,000 – $190,000 base salary, commensurate with experience. Fortegra is not accepting unsolicited resumes from search firms for this position. Recruitment Updates Fortegra has recently been made aware of unauthorized communications regarding career opportunities by individuals not associated with Fortegra or our recruitment team. Fortegra will only contact you from the Fortegra domain address (@fortegra.com). If you receive a message from someone posing as a Fortegra recruiter via text message, WhatsApp, Telegram or other messaging platform, please report it as phishing and block the sender. #LI-Onsite

Job Description Job Description: GCP Platform Engineer Location: Jersey City, Tampa, or Palo Alto (5 days onsite) Position Overview We are seeking a GCP Platform Engineer to support and evolve a large-scale Google Cloud Platform environment. This is a hands-on platform engineering role focused on building, operating, and maintaining shared cloud infrastructure that application and service teams depend on. The ideal candidate is a platform-minded engineer who takes ownership of cloud foundations—networking, identity, infrastructure as code, and deployment pipelines—ensuring reliability, security, and operational excellence across multiple environments. Key Responsibilities • Own and operate the GCP platform foundation, including infrastructure provisioning, CI/CD enablement, and operational support., • Manage and support CI/CD pipelines across multiple environments., • Use Terraform as the source of truth to provision, manage, and evolve GCP infrastructure., • Design, maintain, and execute operational runbooks., • Operate and support core GCP services across compute, networking, storage, and identity., • Support event-driven and messaging architectures., • Act as an escalation point for platform-level issues., • Partner with security and compliance stakeholders., • Enable application teams with stable, scalable platform capabilities. Required Qualifications • Strong hands-on experience with Terraform., • Deep understanding of GCP (Org, Folders, Projects, IAM, Networking, Compute, Storage)., • Experience with CI/CD pipelines and tooling., • Experience operating production GCP environments., • Strong troubleshooting skills., • Python for automation and tooling.

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 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 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 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 DescriptionOur client, a highly respected A-rated P&C Insurance Company, is seeking an experienced Senior Data Engineer (Azure) to join their growing IT department. This is a unique opportunity to spearhead data engineering initiatives and lead a team responsible for building and optimizing scalable data pipelines and architectures. The ideal candidate will bring a blend of technical depth, strategic thinking, and leadership experience to drive the company's data strategy forward. This role offers the flexibility to work remotely but candidate MUST reside in New Jersey or New York.Key Responsibilities: • Drive cloud-based data solutions using platforms such as Microsoft Azure (e.g., Data Factory, Synapse Analytics, Databricks)., • Actively design, build, and deploy application solutions by writing, testing, and maintaining code across the full stack or within low-code/no-code platforms as appropriate., • Work directly with stakeholders and technical partners to gather requirements and turn them into practical, scalable technical solutions., • Implement and refine application architectures, contributing code and configurations that improve performance, reliability, and maintainability., • Develop and execute automated unit and integration tests, and contribute directly to regression testing efforts to ensure high-quality releases., • Perform detailed code reviews, provide technical feedback, and apply best practices to improve overall code quality., • Collaborate daily with engineers, QA, automation specialists, analysts, and project managers to deliver features and enhancements on schedule., • Engage directly with external vendors and contract resources, supporting implementation efforts and ensuring alignment with technical standards. Qualifications / Requirements:, • 5 - 10+ years of hands-on experience in data engineering with advanced proficiency in SQL, Python, and big data tools (e.g., Spark, Databricks). Proven experience designing and managing ETL/ELT processes and pipelines in Azure or other cloud environments., • Strong foundation in application architecture and system design, with the ability to evaluate, structure, and scale solutions effectively., • Hands-on experience applying established design patterns to implement business logic within middle-tier services, leveraging web services and modern architectural principles as appropriate., • Experience building and supporting cloud-native solutions using Microsoft Azure, with exposure to services such as App Services, Azure Functions, AKS, Azure DevOps, Azure SQL, and related platform or infrastructure components., • Solid programming experience with C# and SQL, including hands-on work with SQL Server environments and associated tooling., • Demonstrated capability in designing, developing, and maintaining REST-based backend services, with familiarity in multi-layered API architectures that separate process and experience concerns., • Strong background in automated testing practices, including writing unit tests with dependency injection and mocking frameworks, as well as contributing to integration and regression testing strategies., • Practical knowledge of DevOps concepts, including CI/CD automation, pipeline configuration, and experience working within Agile delivery models., • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field from an accredited U.S. institution., • Microsoft Azure Data Engineering certification is strongly preferred.Salary / Benefits:, • $175,000 - $200,000+ annual base salary plus 10–20% performance bonus, • Flex schedule and ability to work remote, • Extremely competitive Medical, Dental, Vision, and Life insurance plans, • Employer matching 401(k) plan, • Generous PTO plan

Job Description Be Part Of A High-Performing Team: Join a globally recognized financial services organization operating at the forefront of banking innovation and technology. This team supports critical systems across the Americas division, delivering scalable, secure, and data-driven solutions that power enterprise-level financial operations. The environment is highly collaborative, fast-paced, and focused on engineering excellence, with strong emphasis on reliability, performance, and modern development practices. Teams work cross-functionally with stakeholders across business and technology to deliver impactful solutions that drive operational efficiency and innovation. What’s In Store For You: • Engagement: W2 only (no C2C/1099), • Opportunity to work on enterprise-scale financial systems and APIs, • Exposure to modern backend development, cloud, and data-driven applications, • Design, build, and maintain scalable backend systems and APIs using Python, • Develop robust server-side applications supporting critical business workflows, • Integrate databases, third-party services, and internal platforms, • Collaborate with cross-functional teams to translate business requirements into technical solutions, • Ensure code quality through testing, debugging, and adherence to best practices, • Contribute to CI/CD pipelines and participate in code reviews to improve team standards, • 10+ years of experience in software development with strong Python expertise, • Proven experience building and maintaining RESTful APIs and backend services, • Solid understanding of data structures, algorithms, and object-oriented programming, • Experience with database integration (SQL/NoSQL) and data-driven applications, • Familiarity with version control systems (e.g., Git) and collaborative development workflows, • Exposure to cloud platforms, DevOps tools, or frontend technologies is a plus, • Strong analytical thinking, problem-solving skills, and ability to work independently or in agile teams, • Excellent communication skills and ability to collaborate across technical and business teams

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 Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation. 1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance. We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments. This role blends R&D with production engineering—you’ll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization. Key Responsibilities • Design and implement AI models for image classification, object detection, OCR, and feature extraction., • Develop real-time image quality assessment and capture guidance algorithms., • Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets., • Implement model optimization techniques for mobile (on-device) and cloud inference., • Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data., • Integrate ML models into production-grade APIs and mobile SDKs., • Monitor, evaluate, and continuously improve model accuracy and performance., • Collaborate with product and engineering teams to align AI capabilities with business goals. Requirements • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (or equivalent experience)., • 3+ years of experience building and deploying ML models in production., • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)., • Experience with computer vision libraries (e.g., OpenCV) and OCR technologies., • Strong understanding of deep learning architectures for image and text recognition., • Familiarity with cloud platforms (AWS, GCP, or Azure) and API development., • Strong problem-solving skills and ability to work in fast-paced environments., • Based in the NJ / NY area; Hybrid working model.Preferred Qualifications, • Experience with model quantization and optimization for mobile deployment., • Knowledge of synthetic data generation and data augmentation techniques., • Background in security, liveness detection, or anomaly detection., • Exposure to compliance and data privacy regulations (GDPR, CCPA)., • Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems., • Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC., • Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada., • Flexibility First: Unlimited PTO, and 2 days WFH

Job Description Join our Data Science team as an Analytics Product Engineer, where you’ll own stakeholder-facing analytics and reporting in a modern insurance data environment. This role sits at the intersection of business, data, and product. Balancing rapid response to real operational questions with the delivery of durable, high-trust analytics products. If you’re a strong BI practitioner who enjoys close stakeholder partnership, takes pride in data integrity, and knows how to ship insights, not just queries, this role is for you. What You’ll Do • Serve as a trusted analytics partner to business stakeholders, translating ambiguous questions into pragmatic, timely insights while exercising sound judgment about when prototypes should evolve into durable, decision-ready reporting., • Build analytics on a modern data stack, developing curated datasets in Snowflake and delivering high-impact BI through Power BI. Ensuring insights are fully traceable from source to dashboard., • Own analytics products end to end, from design through delivery, ensuring dashboards and reports are intuitive, reconciled, well-documented, and trusted in high-visibility operational and strategic decisions. What We’re Looking For • Insurance or Financial Services Experience. A solid understanding of insurance business concepts and how they translate into reliable, decision-ready analytics and reporting., • Snowflake & Power BI Expertise (Required). Hands-on experience building analytics solutions on Snowflake. Deep experience delivering polished, stakeholder-facing dashboards in Power BI. Microsoft PL-300 (Power BI Data Analyst) certification required or equivalent demonstrated mastery of Power BI semantic modeling, DAX, and performance best practices., • Analytics Engineering & Judgment. Proficiency in SQL and Python within modern analytics environments, paired with strong judgment around when to move quickly versus when deeper validation is required., • Comfort with Ambiguity & Clear Communication. Ability to operate in imperfect data environments and clearly communicate assumptions, limitations, and tradeoffs to both technical and non-technical audiences. Nice to Have • Exposure to Databricks for ad-hoc analytics or analytics engineering workloads, including familiarity with Delta Lake concepts; Databricks Data Analyst Associate certification or equivalent experience is a plus, • Prior ownership of a reporting or analytics domain within insurance or financial services, • Background outside of data or analytics after transitioning into the field Experience Level Mid-level (approximately 4–6 years in Analytics, BI, or Data roles). We value candidates who bring real-world perspective and judgment, not just technical skill. Location & Work Model • This role is based in Iselin, NJ and requires regular in-person presence., • Candidates should expect to work on-site as part of a highly collaborative Data Science and business partnership environment. Additional Information: Full benefit package including medical, dental, life, vision, company paid short/long term disability, 401(k), tuition assistance and more. #LI-Onsite The anticipated salary for this position is $115,000 – $145,000 per year, based on qualifications and experience. Fortegra is not accepting unsolicited resumes from search firms for this position. Recruitment Updates Fortegra has recently been made aware of unauthorized communications regarding career opportunities by individuals not associated with Fortegra or our recruitment team. Fortegra will only contact you from the Fortegra domain address (@fortegra.com). If you receive a message from someone posing as a Fortegra recruiter via text message, WhatsApp, Telegram or other messaging platform, please report it as phishing and block the sender.

Job DescriptionAbout Dyania Health Dyania Health is a venture-backed company founded in 2019 which has developed Synapsis AI, an end-to-end system that combines a medically post-trained LLM with a physician-driven algorithmic reasoning engine to understand and assess clinical characteristics in electronic medical records. Synapsis AI is designed for installation within the healthcare system's computing environment or on healthcare system private clouds to automate manual chart review of EMRs, without removing any data from the healthcare system. Synapsis AI completes pre-screening on both unstructured and structured patient data, deploying medical logic with temporal sensitivity to dynamically match changing patient characteristics to complex clinical trial criteria within the exact window when a given EMR may qualify for study protocol criteria. If you like to innovate at the forefront of technology and build software that solves important real-world problems, we'd love to hear from you! At Dyania Health we are transforming the way in which machines understand and process medical information. About the Role We are seeking Senior Machine Learning / Software engineers who are passionate about their craft to help us in that mission. As a senior ML engineer at Dyania, you'll design, build, and deploy scalable ML-driven systems that power biomedical information processing. In this role, you will operate at the intersection of machine learning research and production-grade software engineering, owning the full lifecycle of ML-powered microservices — from model development and evaluation to deployment, monitoring, and continuous improvement. You will play a key technical leadership role, mentor junior engineers, and collaborate closely with product, UX, and clinical teams to translate real-world healthcare challenges into robust, scalable solutions. Key Responsibilities • Design, implement, and deploy ML-powered software components within a microservice architecture., • Lead development and productionization of NLP and transformer-based models for biomedical information processing., • Own the full ML lifecycle: data preparation, model training, evaluation, optimization, deployment, and inference at scale., • Architect scalable and maintainable ML infrastructure and services., • Collaborate cross-functionally with product, UX, and clinical stakeholders to understand requirements and rapidly prototype new capabilities., • Analyze model and system performance; communicate findings and trade-offs clearly to technical and non-technical stakeholders., • Ensure reliability, scalability, and security of ML services in production environments., • Mentor junior engineers and contribute to raising the technical bar across the team., • Contribute to architectural discussions and strategic technical decisions. Required Qualifications: • 5+ years of industry experience in machine learning-focused software engineering (excluding internships and academic projects)., • Bachelor’s or graduate degree in Computer Science, Mathematics, Electrical Engineering, or a related technical field., • Strong hands-on experience training, testing, deploying, and serving ML models in production environments., • Experience with transformer architectures and NLP applications., • Experience with multi-GPU and multi-node distributed training and inference., • Proficiency in Python., • Proficiency in Java (and/or Kotlin/Scala) or C++., • Experience designing and implementing microservices., • Professional experience with Git and collaborative development workflows., • Experience with relational databases and/or NoSQL systems (e.g., knowledge graphs)., • Strong communication skills and ability to explain technical concepts clearly. Preferred Qualifications: • Experience working with AWS or similar cloud platforms., • Experience working in agile development environments and familiarity with Jira., • Experience building ML systems in healthcare or other regulated environments., • Experience with monitoring, observability, and performance optimization in production ML systems. What Success Looks Like • You deliver production-ready ML systems that are scalable, reliable, and maintainable., • You proactively identify technical risks and propose thoughtful solutions., • You translate ambiguous biomedical problems into structured ML approaches., • You elevate the engineering team through mentorship and thoughtful technical leadership., • You effectively communicate insights and trade-offs to diverse stakeholders. Team Culture: • We try every day to maintain empathy for patients and our teammates., • We value small egos, self-awareness, and humility in our teammates., • We appreciate flexible and adaptive attitudes towards solving problems, as strategic priorities may shift., • We love diversity of thought, perspective, working style, skill set, knowledge, and interests amongst our team., • We value open dialogue and brainstorming across multidisciplinary teams. Dyania Health is an equal opportunity employer that is committed to workplace diversity and inclusion. We do not discriminate on the basis of race, gender, gender identity, color, religion, national origin, sexual orientation, or any other legally protected characteristic as outlined by federal, state, or local laws. Benefits • Competitive Salary, • Health Care Plan (Medical, Dental & Vision), • Retirement Plan (401k, IRA), • Generous Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Training & Professional Development Support, • Remote work

Job Description 2bridge has been engaged in the direct hire search for a Senior Full Stack Python Developer to join our Financial Client based near Colonia, NJ. They offer a comprehensive package including base, bonus, 401k, PTO, Medical, dental, and vision. Senior Software Engineer We seek several highly skilled Senior Software Engineers to join a dynamic team. In this role, you will design, develop, and maintain cutting-edge software solutions that drive business growth. Your expertise in full-stack development, cloud infrastructure, API integrations, and automation will be essential in delivering high-performance applications that scale efficiently. Key Responsibilities: Software Development & Deployment: • Design, develop, test, and deploy high-quality applications using Python, React, AWS, and modern scripting languages., • Implement scalable and maintainable software architectures that meet business requirements., • Utilize AWS services, including Lambda, DynamoDB, and cloud storage, to optimize application performance and scalability., • Ensure cost-effective and secure cloud-based application deployments., • Design and maintain RESTful and GraphQL APIs for seamless integration across various platforms., • Ensure APIs adhere to performance, security, and scalability standards., • Leverage TypeScript, JavaScript, and Python to build robust and efficient software solutions., • Design and optimize SQL queries and database architectures to support application needs., • Work closely with cross-functional teams, including product managers, QA engineers, and business stakeholders., • Participate in Agile/Scrum methodologies to drive project success., • Share expertise and mentor junior developers to foster a culture of technical excellence. Qualifications: • Bachelor's degree in Computer Science, Engineering, or a related field., • 6+ years of experience in software development and system architecture., • 6+ Experience building financial applications for wealth or portfolio management disciplines, trading, or financial applications., • Proficiency in React for building modern, responsive web applications., • Hands-on experience with AWS services (Lambda, DynamoDB, Redshift, cloud storage, etc.)., • Strong expertise in API development (REST, GraphQL, WSO2) and backend integration., • Advanced skills in TypeScript, JavaScript, and Python., • Experience in SQL development and optimization., • Knowledge of Agile/Scrum frameworks for managing and delivering projects., • Strong communication and problem-solving skills., • Preferred: Cloud certifications and experience in fintech, wealth management, or enterprise SaaS. Why Join our client? • Work on high-impact projects in a fast-paced, collaborative environment., • Be part of a team that values innovation, security, and scalable solutions., • Opportunities for career growth, professional development, and mentorship.

Job DescriptionJob Description: GCP Platform Engineer Location: Jersey City, NJ (5 days onsite) 6 months Position Overview Client is seeking a GCP Platform Engineer to support and evolve a large-scale Google Cloud Platform environment. This is a hands-on platform engineering role focused on building, operating, and maintaining shared cloud infrastructure that application and service teams depend on. The ideal candidate is a platform-minded engineer who takes ownership of cloud foundations—networking, identity, infrastructure as code, and deployment pipelines—ensuring reliability, security, and operational excellence across multiple environments. Key Responsibilities • Own and operate the GCP platform foundation, including infrastructure provisioning, CI/CD enablement, and operational support., • Manage and support CI/CD pipelines across multiple environments., • Use Terraform as the source of truth to provision, manage, and evolve GCP infrastructure., • Design, maintain, and execute operational runbooks., • Operate and support core GCP services across compute, networking, storage, and identity., • Support event-driven and messaging architectures., • Act as an escalation point for platform-level issues., • Partner with security and compliance stakeholders., • Enable application teams with stable, scalable platform capabilities. Required Qualifications, • Strong hands-on experience with Terraform., • Deep understanding of GCP (Org, Folders, Projects, IAM, Networking, Compute, Storage)., • Experience with CI/CD pipelines and tooling., • Experience operating production GCP environments., • Strong troubleshooting skills., • Python for automation and tooling.

Date Posted: 04/01/2026 Hiring Organization: Rose International Position Number: 499245 Industry: Government/Staffing Job Title: Full Stack AWS Cloud Developer Job Location: Newark, NJ, USA, 07101 Work Model: Hybrid Work Model Details: 3 days per week onsite Shift: General Employment Type: Temporary