Design engineer jobs in Woodbridge, NJ

City: NYC, NY/ Orlando, FL Onsite/ Hybrid/ Remote: Hybrid (2 days a week onsite - Mondays and Thursdays) Duration: 6 months (high potential for extension or conversion) Rate Range: Up to$85.5/hr on W2 depending on experience (no C2C or 1099 or sub-contract) Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B Must Have: Strong SQL and Python programming experience Experience with Snowflake (data storage, query optimization) Proficiency with Docker for containerized development Experience with data pipelines and transformation workflows (ETL/ELT) Familiarity with media data (Nielsen, Adobe Analytics, or Comscore preferred) Strong understanding of backend or data engineering principles Bachelor's degree in Computer Science, Engineering, or related field Responsibilities: Develop and sustain backend systems and data workflows for media forecasting applications. Write production-level SQL and Python code to support analytical and web-based applications. Collaborate with Data Engineering, Decision Science, and App Engineering teams to maintain datasets powering key forecasting tools. Design, build, and optimize transformation logic connecting disparate data sources. Support the ongoing development and sustainment of an internal forecasting platform used across multiple business units. Participate in Agile sprint cycles, assisting with prioritization, task management, and technical implementation. Ensure data quality, operational stability, and timely delivery of enhancements. Qualifications: 5+ years of experience in software/data engineering or data product development. Hands-on experience with SQL, Python, Docker, and version control (Git). Familiarity with Snowflake, Airflow, or other cloud-based data orchestration tools. Excellent analytical and communication skills to collaborate across data, science, and application teams. Proven ability to manage both sustainment tasks and new feature development in parallel. Bachelor's degree required. Nice to Have: Media, entertainment, or advertising analytics experience (linear or digital). Exposure to AWS modules (S3, EC2, EMR) and cloud data ecosystems. Experience integrating data with business-facing applications. Understanding of forecasting, viewership analytics, or revenue management systems.

Join our Digital Assets Engineering team to design, develop, and secure smart contracts powering tokenization, custody, and settlement solutions. You will work on cutting-edge blockchain integrations within a regulated financial environment, ensuring scalability, security, and compliance. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $90 - $99 / hr. w2 Responsibilities • Design and implement secure, efficient smart contracts for tokenization and digital asset workflows • Collaborate with product and architecture teams to integrate contracts with EVM-compatible chains and enterprise systems • Conduct code reviews, enforce best practices, and ensure compliance with internal security standards • Implement automated testing frameworks for smart contract deployments • Work closely with cybersecurity teams to address vulnerabilities and engage in external security vendor audit of our smart contracts • Optimize performance and scalability for high-volume transaction environments Experience Requirements • 3+ years of development experience in blockchain and smart contracts • Proficiency in Solidity and smart contract development • Experience with Ethereum, Hyperledger Besu, and EVM-based platforms • Strong understanding of tokenization standards (e.g., EIP-7702, EIP-712, ERC-1451) • Knowledge of cryptographic principles, MPC, and secure key management Preferred Experience • Financial services or regulated environments • Integration with custody and settlement systems • Agile development and DevSecOps practices • Java • Spring Boot Education Requirements Preferred Certifications • C4 Ethereum Developer • Cyfrin Smart Contract 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 -122025-104583

Jacobs Levy Equity Management, located in Florham Park, NJ, is seeking a C# Engineer/Developer for application development. This role will assist in building and maintaining C# GUI and workflow application systems that support our financial application development. Primary Responsibilities The successful candidate will be responsible for developing and supporting the financial applications in the firm, including the following: Partner with Finance, Accounting and Compliance on how best to use the technology platform to optimize the business processes Collaborate with business users to gather requirements and incorporate User Experience (UX) enhancements to the workflow management applications Work closely with the development team to incorporate additional data feeds, and design and develop visual workflows Demonstrate a strong commitment to product quality: provide manual testing of the applications as needed and automate comprehensive testing Facilitate QA and UAT efforts for production systems Build scripts and utility tools to help the development team, as needed Requirements Master's degree in Engineering/Computer Science or equivalent 3+ years of experience in C# programming, industry experience with C++ is a big plus Must have working knowledge of back-office workflows and operations Strong knowledge of Accounting processes; Working knowledge of Advent Geneva is a big plus 3+ years of experience with Microsoft SQL Server 3+ years of experience in the financial services industry is preferred Able to deliver product enhancements on time with quality in a fast-paced environment Good communication skills and the ability to work well in a team Strong troubleshooting and reasoning skills

About the Company This early-stage environmental intelligence startup is building next-generation AI systems that help global organisations understand and plan for water-related risks. Their platform combines deep learning with physics-based modelling to generate high-resolution insights for some of the world's largest infrastructure operators, consumer brands, and investors. Backed by leading scientific minds across climate, hydrology, and machine learning, the company is now expanding its capabilities by developing a new social risk function that captures the human, regulatory, and community dynamics that shape water outcomes around the world. Why Join Join a team pushing the boundaries of environmental intelligence, combining physical and social risk modelling into a unified AI platform. Work with world-class researchers, publish meaningful science, and help deliver tools with tangible global impact. Pioneer a new capability: You'll be the first ML engineer dedicated to modelling social, political, and reputational water risk. Cutting-edge work: Blend NLP, LLMs, graph intelligence, and geospatial modelling into a real, production platform. Genuine impact: Your models will inform global water stewardship decisions across high-risk regions. Interdisciplinary collaboration: Work alongside scientists and researchers across climate, hydrology, and social systems. Early-stage ownership: Build from first principles in a fast-moving, mission-driven startup with strong early traction. What You'll Do Build NLP, LLM, and multi-modal pipelines to analyse community, regulatory, media, and public-sentiment signals - including stance detection, topic/event clustering, and stakeholder network mapping. Fuse unstructured social data with geospatial and physical-risk datasets to generate unified risk insights for real-world decision-making. Partner with climate and domain scientists to translate social signals into actionable risk metrics, contributing to both product development and peer-reviewed research. Deploy scalable, interpretable ML systems into production via APIs and platform infrastructure. What You Bring 3+ years building applied ML/NLP systems, ideally across text, geospatial, or social-network data, including sentiment/stance modelling and multi-source pipelines. Strong Python plus experience with PyTorch/TensorFlow, SQL, and modern LLM tooling (Hugging Face, LangChain, OpenAI APIs). Skilled with entity extraction, topic modelling, network/graph analysis, and data sourcing or weak supervision in multilingual environments. Passion for climate, water, or environmental risk, and comfortable working in an early-stage, collaborative, low-ego environment. Nice to Have PhD / Postdoc with track record of pace and quality of publications Graph ML experience or multi-modal fusion (text + geospatial). LLM fine-tuning for domain-specific tasks. Deployment experience with FastAPI, Docker, or similar frameworks. Background or exposure to environmental science, hydrology, or social-data analysis.

Hello, We have 4 urgent openings for a "Principal Java Engineer ". These are hybrid roles in Jersey City, NJ (Hybrid - approximately 1 week onsite per month) Only looking for candidates who can work on W2 Strictly no C2C or third-party vendors Job title: Principal Java Engineer Client: Fidelity Title: Senior Java Engineer Location: Jersey City, NJ (Hybrid - approximately 1 week onsite per month) Duration: Long-term contract Rate: • $70 - $75/hr on 1099 • $75/hr on W2 Local candidates strongly preferred About the Role Fidelity is seeking an experienced Senior Java Engineer to join a high-performing engineering team responsible for building and enhancing cloud-native, high-performance backend systems. This role focuses on Core Java, AWS, and distributed microservices to support mission-critical financial platforms used across the organization. The ideal candidate is strong in backend development, cloud engineering, distributed databases, and large-scale system performance. Key Responsibilities • Design, develop, and optimize backend services using Core Java • Build and enhance microservices supporting high-throughput, low-latency financial workloads • Develop cloud-native solutions using AWS services such as Lambda, EC2, S3, CloudWatch, IAM, and API Gateway • Work extensively with distributed data stores including Cassandra for large-scale, resilient data processing • Implement RESTful APIs to support enterprise integration and platform connectivity • Ensure performance, scalability, security, and reliability across backend components • Collaborate closely with DevOps, QA, SRE, and Architecture teams • Participate in Agile ceremonies, code reviews, and engineering best-practice discussions • Troubleshoot production issues, optimize backend performance, and contribute to stability and resilience improvements • Support ongoing modernization, refactoring, and cloud-migration initiatives across Fidelity platforms Required Skills • Strong hands-on expertise in Core Java and backend engineering • Experience with AWS services (Lambda, EC2, S3, IAM, CloudWatch, SQS, etc.) • Hands-on experience with Cassandra or other distributed databases • Strong understanding of REST APIs, microservices, and distributed system patterns • Experience with CI/CD pipelines, containerization, and modern DevOps workflows • Solid debugging skills and ability to identify performance bottlenecks • Excellent communication and collaboration skills • Experience in financial services or large-scale enterprise environments is a plus ABOUT US: Anagh Technologies is a technical consulting firm specializing in UI, Front-End, and Full-Stack web technologies. We currently have 30+ positions in Angular, React, Node, and Java. If technically strong, we can 100% get you an offer within 2 weeks MAX, as we will consider you for multiple roles at once. If you are interested and are available, please email me your resume and contact information to arshad AT anaghtech.com. Thank you for your time.

Engineering Team Lead - C++ Developer - New York We are looking for an established Lead C++ Developer with experience driving technical direction while still writing mission-critical code within a HFT environment. This an opportunity to join an established quantitative trading firm at a key inflection point - a genuine startup-style opportunity to lead the build of a next-generation high-frequency trading platform with full ownership and impact. You will shape the architecture, roadmap, and core components of a cutting-edge research and trading stack whilst leading a small, highly skilled team, staying hands-on, building systems that enable researchers and traders to deploy sophisticated signals and strategies at scale. What you'll work on: * Defining architecture, coding standards, testing practices, and long-term technical direction * Managing and mentoring a high-performing engineering team * Prototyping and delivering core platform components using modern C++ * Iterating quickly on the platform while maintaining a strong technical foundation What you'll need: * 5+ years as a Developer at a top HFT firm * Deep C++ expertise (C++17 or newer) * Experience with multithreading, synchronisation, and Linux internals * Working Python knowledge and strong tooling discipline * Demonstrated ability to lead, mentor, and grow a technical team Location: New York If you're excited by the idea of leading a build that will define the future of a global trading platform - while still coding at the highest level - reach out and I'll share more about the role and team.

Job title: Principal Engineer - Cash Management Account (Wealth / Brokerage Integration) Contract: 6 months with possibility for further extensions We are seeking a hands-on Principal Engineer to lead the architecture and prototype development of a new Cash Management Account capability within the Wealth Management & Private Banking division. The role focuses on creating an integrated, seamless client experience between brokerage investment accounts and core banking deposit platforms. This is a greenfield initiative at prototype stage, requiring a leader who combines deep financial product knowledge with strong architectural and full-stack engineering capabilities. The selected individual will define and drive the technical approach end-to-end-from concept through early build-working closely with wealth, brokerage, architecture, and operations teams. Key Responsibilities Lead design and technical delivery of the new Cash Management Account capability-defining architecture, data flows, and integration approach end-to-end. Build an early prototype/MVP to demonstrate feasibility and influence program funding. Define and implement the integration layer between: Brokerage platforms Core banking deposit systems (FIS EBS) Wealth digital channels and assisted servicing platforms Payments / Transfer Hub domain services Design and guide development of the Sweep Engine (logic for sweeping cash between investment and deposit accounts based on client rules and preferences). Implement secure, scalable, modern service architecture aligned with enterprise standards (APIs, domain services, events, etc.). Collaborate with product, operations, wealth business stakeholders, and solution architects to align requirements and experience flow. Mentor, guide, and (optionally) coordinate a small supporting full-stack engineering team. Required Experience & Skills Domain Expertise Direct experience designing or working with brokerage cash management products, sweep programs, or integrated investment/banking experiences. Strong understanding of wealth client operations, investment accounts, positions, funding flows, and deposit account servicing. Familiarity with U.S. cash sweep structures, FDIC insurance strategies, cash allocation rules, and brokerage-bank integration models. Technical Leadership 10+ years engineering experience with 3+ in principal / lead engineer capacity. Ability to drive solution design from scratch (architecture, modeling, interfaces, data contracts). Demonstrated success building prototypes and early-stage products in large organizations. Technology Skills Strong hands-on programming in Java or Python, with experience in modern microservices architecture. Experience building API-driven and event-driven distributed systems. Understanding Angular UI integration is beneficial. Experience integrating with: Core banking systems (e.g., FIS EBS, Finastra, Temenos, Flexcube, etc.) Brokerage / wealth platforms Payment hubs, domain services, workflow engines (PEGA optional) Preferred Background Experience working in Wealth Management or Private Banking divisions Experience building cash sweep / liquidity / treasury funding features. Previous contribution to new product incubation or architecture modernization programs.

As part of Technology, you'll have the opportunity to contribute to groundbreaking initiatives that shape Client's digital landscape. Leverage cutting-edge technologies like Generative AI to increase productivity, streamline processes, and create seamless experiences for clients, agents, and employees. Your expertise fuels innovation, agility, and growth - driving the company's success. Role Overview: As a Senior Salesforce Developer Engineer (PF4), you will serve as a technical lead, driving the design, development, and implementation of complex Salesforce solutions that advance Client's strategic technology initiatives. You will collaborate closely with architects, business partners, and data teams to deliver secure, scalable, and high-performing applications across a shared Salesforce platform supporting multiple lines of business. This role also involves integrating Salesforce with AWS services and other enterprise systems to enable data-driven decision-making and intelligent automation. What You'll Do: Lead the design, development, and deployment of scalable Salesforce solutions using Apex, Lightning Web Components (LWC), and integration APIs. Partner with business stakeholders, solution architects, and engineering teams to translate requirements into robust, extensible technical designs. Implement Salesforce integrations with AWS services such as Lambda, S3, and API Gateway, ensuring secure and performant data exchange. Collaborate with UX and front-end teams to deliver modern, responsive user experiences using React.js, TypeScript, and Figma. Design and implement event-driven architectures using Platform Events, Change Data Capture (CDC), and asynchronous Apex to support scalable, loosely coupled integrations. Oversee code reviews, enforce development standards, and drive continuous improvement through CI/CD pipelines, automation, and DevOps practices. Troubleshoot and optimize performance across environments, ensuring reliability, maintainability, and compliance with enterprise security standards. Evaluate and integrate npm packages and open-source libraries to enhance component functionality and maintain consistency across applications. Contribute to Salesforce platform modernization by leveraging AWS DevOps tools, automation frameworks, and reusable architecture components. Stay current on emerging technologies, including Salesforce AI (Einstein, GPT-based assistants) and MuleSoft, to evolve integration and automation capabilities. What You'll Bring: 7-10 years of proven expertise in leading new Salesforce implementations, guiding a team of developers through end-to-end solution design, development, and deployment. Proven expertise in Apex, LWC, and Flow Builder, blending custom development with Salesforce's out-of-the-box capabilities to create scalable and maintainable solutions. Strong hands-on experience in Salesforce event-driven architecture, including Platform Events, CDC, and pub/sub patterns for real-time, asynchronous communication. Deep understanding of Salesforce data architecture, security model, and multi-org governance in a shared platform environment supporting multiple lines of business. Proven ability to design and implement secure integrations using Salesforce APIs, MuleSoft, and AWS services (Lambda, S3, API Gateway). Strong background in JavaScript, React.js, and TypeScript, applying component-based principles and UI best practices across Salesforce and standalone apps. Demonstrated experience collaborating with data teams to analyze, troubleshoot, and resolve complex data quality and integration issues across systems. Experience translating Figma mockups into responsive, accessible, and reusable LWC and React components. Proficiency with CI/CD pipelines, GitHub, and Jenkins, enabling automated deployments and version control. In-depth knowledge of authentication and authorization mechanisms including OAuth 2.0, JWT, and Named Credentials. Excellent analytical, communication, and stakeholder management skills, with a focus on cross-functional collaboration and technical excellence. Must-Have Skills & Experience: 7-10 years of senior-level Salesforce development experience. Expertise in Apex, LWC, Flow Builder, and Salesforce event-driven architecture. Strong integration experience with Salesforce APIs, MuleSoft, and AWS services. Proficiency in JavaScript, React.js, and TypeScript. Experience with CI/CD pipelines (GitHub, Jenkins) and DevOps practices. Excellent communication skills for collaboration with offshore teams and SCRUM leadership. Ability to adapt and learn new technologies beyond Salesforce. Preferred Skills: Preferred Certifications: Application Architect/System Architect. Experience with AWS infrastructure tools & practices. Familiarity with event-driven architectures and data streaming frameworks (e.g., Kafka, Event Bus). Skills & Certifications: Bachelor's degree in Computer Science, Software Engineering, or related field. Salesforce Certifications: Salesforce Platform Developer I Salesforce Platform Developer II Salesforce JavaScript Developer I Salesforce Certified Sales Cloud Consultant Salesforce Certified Application Architect Salesforce Certified Platform Integration Architect Salesforce Certified Administrator Working knowledge of DevOps pipelines (GitHub Actions, Jenkins).

Greymatter Innovationz helps you stay digitally relevant across domains, technologies, and skillsets, every day. We are looking for: Lead AWS Cloud Engineer - Databricks Platform Duration: Contract Or FTE Position Overview: We are seeking a highly skilled and experienced AWS Cloud Engineer with a strong background in Databricks to join our dynamic cloud engineering team. The ideal candidate will have extensive experience in designing, deploying, and managing cloud infrastructure on AWS, along with in-depth expertise in the Databricks platform for data engineering, analytics, and machine learning workloads. The candidate should also have prior leadership experience, as they will be responsible for guiding a team of engineers in cloud-related initiatives, best practices, and ensuring the successful delivery of data-driven solutions. Key Responsibilities: Cloud Infrastructure Design & Implementation: Lead the design, implementation, and optimization of scalable and secure AWS cloud solutions. Utilize AWS services such as EC2, S3, Lambda, RDS, VPC, IAM, and others for building robust cloud-based architectures. Work closely with the architecture team to define infrastructure requirements and recommend suitable AWS technologies. Databricks Platform Expertise: Leverage Databricks for building and managing data pipelines, running Spark-based analytics workloads, and orchestrating machine learning models. Design, optimize, and maintain Databricks clusters and notebooks for data processing, transformation, and analysis. Integrate Databricks with other AWS services (e.g., S3, Redshift, Glue) to build comprehensive end-to-end data solutions. Provide leadership in best practices for working with Databricks to ensure reliability, scalability, and efficiency of data workflows. Leadership & Mentoring: Lead a team of cloud engineers, guiding them in implementing solutions that align with organizational goals and industry best practices. Mentor junior team members and provide technical guidance on cloud-related projects, Databricks integration, and infrastructure optimization. Facilitate cross-functional collaboration between engineering, data science, and business teams. Automation & Optimization: Automate cloud infrastructure provisioning and management using Infrastructure-as-Code tools (e.g., Terraform, CloudFormation). Continuously monitor and optimize AWS resources to improve performance and reduce costs. Troubleshooting & Support: Provide expert-level troubleshooting and support for cloud infrastructure, Databricks platform issues, and production systems. Identify and resolve performance bottlenecks, security risks, and system inefficiencies across AWS and Databricks environments. Documentation & Reporting: Document cloud infrastructure, Databricks configurations, and solutions for internal knowledge sharing. Prepare regular reports on system performance, cost management, and the status of cloud initiatives. Key Requirements: Experience: 5+ years of experience in AWS cloud engineering, with a proven track record of delivering cloud-based solutions. 3+ years of hands-on experience with Databricks platform, including building and managing data pipelines, notebooks, and Spark-based workloads. 2+ years of experience leading or mentoring a team of engineers, with strong leadership and team-building skills. Technical Skills: Proficient in AWS cloud services (EC2, S3, Lambda, RDS, VPC, IAM, CloudWatch, etc.). Strong knowledge of Databricks, Apache Spark, and data engineering best practices. Experience with containerization and orchestration tools (Docker, Kubernetes). Familiar with Infrastructure-as-Code tools (Terraform, CloudFormation). Experience with data processing frameworks, data lakes, and analytics pipelines. Additional Skills: Strong understanding of security best practices in cloud environments. Ability to manage complex cloud projects with multiple stakeholders. Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders. Experience with Agile methodologies is a plus. Education & Certifications: Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field (or equivalent experience). AWS Certified Solutions Architect - Professional (preferred). Databricks Certified Associate Developer (preferred, but not required). At Greymatter Innovationz, We offer: Motivating Work Environment. Excellent Work Culture. Help you to upgrade yourself to the next level. And More!!!

Sartre Group are partnered with one of the top-performing hedge funds of the last two years looking to capitalise on great returns and grow the business. As part of this growth, they are building a Market Data team from the ground up. You would be joining this team as a Senior Engineer, tasked with creating strong relationships with front office & C-Suite individuals and working with them to build a trading data platform that will have firm wide impact as they plan for building on recent success. You'll work on: Develop systems that ingest and process Bloomberg market data feeds such as BPIPE & Data License. Design scalable solutions for storing, accessing & distributing large volumes of financial data, reliably and efficiently. Build systems from concept to deployment including infrastructure design, backend services and front end interfaces to ensure optimal performance. Collaborate closely with traders and portfolio managers to understand data needs and how it impacts their trade decision making to enhance trading operations. They're looking for: 5+ years experience in software development with strong proficiency Java & OOP (Object-Orientated Programming) In depth understanding of software architecture principals and experience in design - delivery of applications. Hands-on experience managing large-scale data sets, with expertise in storage, retrieval, and processing methodologies. Proficiency in a variety of database systems & well-versed in data modelling best practices. Techstack of Java, OOP, SQL, Apache Kafka, Bloomberg. This is an urgent hire & our client will interview as soon as possible so if you're a strong Java engineer with experience in market data, apply now to learn more about the role, business and team.

Project Description The project is based on developing and operating inter-dealer marketplace, which is an innovative platform that provides users with fast, efficient price discovery and electronic execution. Compensation 9k-11k USD per month Responsibilities - Design and develop the connectivity engine in FIX - Triage critical production issues - Provide rapid response during trading system incidents - Design and implement a global, real-time interactive trading system Skills Description 3+ years of experience developing and operating FIX trading components 5+ years developing production software in Java 3+ years developing electronic trading technology software Full-time Hybrid for NY only - 3 days/week in the office and 2 days/week remote remotely Dublin or people who can work EST as well - Design and develop efficient, defect-free code under tight time constraints - Exceptional analysis and triage of real-time production systems - Clear, concise and accurate written communication skills - Strong work ethic and an entrepreneurial spirit; thrive in a high-pressure environment - Willingness to learn

About Us: Ideavillage is a leading direct-response TV and consumer products marketing company that designs, sources, markets and sells high quality products in multiple segments, including women's and men's apparel, accessories, health and wellness and beauty. Our products are distributed to over 60,000 stores including major retail chains such as Walmart, Target, CVS, Walgreens, and Dick's Sporting Goods. Ideavillage has launched well-known brands which include Copper Fit, Micro Touch, Finishing Touch, and Flawless. The corporate focus is to expand its successful product launches into long-term brands. Job Description: IdeaVillage is seeking a hands-on Product Engineer with an Electrical or Mechanical Engineering background to support our growing portfolio of consumer products. This role will work across the full product lifecycle - from concept and prototyping through compliance, production, and launch. The ideal candidate is technical, detail-oriented, and comfortable working with overseas factories, particularly in Asia. You will collaborate closely with Product Development, QA, Supply Chain, and Leadership to bring innovative, high-quality products to market. Key Responsibilities Support the full product development lifecycle, from concept and prototyping through testing, production, and shipment Evaluate product samples for performance, durability, manufacturability, and compliance considerations Troubleshoot and resolve mechanical and/or electrical issues using Root Cause / Corrective Action methods Assist with regulatory compliance, safety testing, and certification (UL, CSA, Intertek, FCC, CE, etc.) Recommend design, component, material, and process improvements to enhance product quality, performance, and cost Collaborate with cross-functional teams and work closely with Asia-based factories and suppliers to support development and production Provide technical support during manufacturing and scale-up Document test processes, results, and engineering changes in clear technical reports Required Qualifications Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field 3-5 years technical experience in a manufacturing or product development environment Familiarity with regulatory agencies and industry standards (UL, CSA, Intertek, FCC, CE, etc.) General understanding of Root Cause / Corrective Action (RCCA) Strong written and verbal communication skills (technical reporting required) Detail-oriented with strong analytical and problem-solving abilities Proven ability to manage multiple projects and work cross-functionally Bonus Experience Experience with small appliances, grooming tools, vibration devices, motors, or battery-powered products Experience working with overseas factories (China, Vietnam, Thailand, etc.) Experience and working knowledge of common test equipment (e.g., oscilloscopes, multimeters, power supplies, electric load, current sensors, signal generators, spectrum analyzers, and LISNs) Travel Requirement Willing to travel domestically and internationally 3-5 times per year to support projects and factory engagements

Senior Identity Services Engineer_ New York City, NY, PA, CT, NJ _Full-Time (FTE)_Direct Hire Senior Identity Services Engineer Job Type: Full-Time (FTE) Office space available at location listed The candidate would need to live in the following states NY, PA, CT, NJ Industry: Healthcare / Health Services - Medical Records / IT / Informatics Job Category: Information Technology - Security Base Salary: $97,000 to $145,000 +Best-in-class benefits Preferred Qualifications: * Hands-on experience with the Ping Identity platform, particularly: * PingFederate, PingOne, PingID, PingDirectory * Experience with MFA and Passwordless/FIDO2/WebAuthn authentication strategies * Experience building and configuring enterprise SSO applications in Azure AD / Entra ID * Exposure to IAM orchestration platforms such as PingOne DaVinci or similar tools * Experience supporting cloud identity integrations (Azure, AWS, GCP) * Familiarity with enterprise SSO in hybrid environments (on-prem and cloud-based apps) * Strong documentation and communication skills * Comfortable collaborating across technical and non-technical teams * Ability to lead projects and mentor junior engineers Required Qualifications: * 5+ years of Identity & Access Management experience with a strong focus on SSO and federation Deep technical knowledge of: * PingFederate, Azure AD, Okta, ADFS * Federation protocols including SAML, OIDC, and OAuth2 * LDAP, Active Directory, SCIM * Proficiency in scripting and development with PowerShell, Python, and Java * Experience working with REST APIs for IAM services; familiarity with Postman or similar tools * Familiarity with OGNL expression language for customizing PingFederate policies * Front-end UX design and customization using HTML, CSS, and JavaScript * Basic Linux administration skills for maintaining and managing IAM infrastructure * Working knowledge of certificates and PKI (X.509, certificate chains, signing, encryption, keystore management) * Strong troubleshooting and debugging skills across application, identity, and network layersx * Understanding of modern identity concepts such as Zero Trust, adaptive authentication (risk-based, device/user signals), and conditional access Candidate Details: *5+ to 7 years experience *Seniority Level - Mid-Senior *Minimum Education - High School Diploma or Equivalent *Willingness to Travel - Occasionally

At Mercor, we're building the talent engine that helps leading labs and research orgs move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads. If you're an early-career Machine Learning Engineer or an ML PhD who cares about innovation and impact, we'd love to meet you. ## What to Expect As a Machine Learning Engineer, you'll tackle diverse problems that explore ML from unconventional angles. This is a remote, asynchronous, part-time role designed for people who thrive on clear structure and measurable outcomes. - **Schedule:** Remote and asynchronous-set your own hours - **Commitment:** ~20 hours/week - **Duration:** Through December 22nd, with potential extension into 2026 ## What You'll Do - Draft detailed natural-language plans and code implementations for machine learning tasks - Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments - Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks ## What You'll Bring - **Experience:** 0-2 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required) - **Required Skills:** Python, ML libraries (XGBoost, Tensorflow, scikit-learn, etc.), data prep, model training, etc. - **Bonus:** Contributor to ML benchmarks - **Location:** MUST be based in the United States ## Compensation & Terms - **Rate:** $80-$120/hr, depending on region and experience - **Payments:** Weekly via Stripe Connect - **Engagement:** Independent contractor ## How to Apply 1. Submit your resume 2. Complete the System Design Session (< 30 minutes) 3. Fill out the Machine Learning Engineer Screen (engineering, and research use Mercor to work on frontier projects shaping the next era of AI.

We are seeking a skilled Cloud AWS Engineer to join our Service Management team. This role focuses on supporting and training team members involved in Amazon Web Services (AWS) Cloud initiatives. The position involves managing sandbox environments, developing procedures, and implementing best practices for AWS configuration and administration. Full list of must-have skills: AWS Services - IAM, EC2, KMS, ECS, EKS, R53, Lambda AWS State Machines AWS Systems Manager - automation and command document Development Terraform IaC/CaC- HCL (AWS and other providers) Git/GitLab/CICD - DevOps source/version control, Pipelines Shell Programming/Scripting (Bash, Powershell) Linux Administration: networking, services, permissions, logging Ansible/AAP: automations, collections, workflows Certificate Management: TLS client/server, ACM Container & Orchestration: docker, kubernetes Programming/Scripting Languages: shell, python, java, nodejs, go Key Responsibilities Administer and maintain AWS sandbox environments. Develop and document best practices for environment configuration, sizing, tagging, scripting, monitoring, and security. Provide guidance and training to the Service Management team on AWS operations and administration. Support application developers with AWS tools and resources. Assist in creating procedures and documentation for AWS-related activities. Required Qualifications Advanced experience with AWS operations. Hands-on experience in AWS application development. Proficiency in AWS scripting and monitoring. Strong technical background in both Linux and Windows environments. Understanding of databases with basic SQL skills.

Senior Applications Engineer, Technology Risk & Compliance *US Citizens or GC Holders *NYC on-site Responsibilities Lead the planning and execution of migrating the firm's on-premises Intapp platform to the cloud, including identifying new capabilities that drive business value. Collaborate closely with the Conflicts and Intake team to understand their processes, terminology, and workflows, enabling effective analysis of application features and configurations. Partner with local business stakeholders to gather requirements and deliver tailored solutions that meet operational needs. Provide informed recommendations to business and IT leadership based on a deep understanding of the Intapp platform, product roadmap, and key business drivers. Develop and maintain a strong working relationship with Intapp to advocate for desired product enhancements, features, and bug fixes. Participate in application implementations, upgrades, enhancements, troubleshooting activities, and roadmap development. Oversee and manage assigned solutions, ensuring their ongoing stability, performance, and overall health. Monitor system performance and capacity, prepare regular reports, and lead capacity planning efforts. Partner with IT teams to design, develop, and deploy new features and capabilities; lead and manage these initiatives through completion. Maintain up-to-date architecture diagrams, documentation, and support materials for use by engineering and support teams. Follow and actively contribute to IT Change Management, SDLC, and Incident Management processes. Collaborate on the development and delivery of training materials and quality assurance activities for supported applications. Provide coaching and mentorship to junior analysts while coordinating effectively with on-site, remote, and offshore team members. Work with Quality Assurance to develop test scripts, procedures, and remediation plans. Proficiencies The Senior Applications Engineer should demonstrate strong proficiency in: Exceptional communication, organization, negotiation, critical thinking, leadership, and customer-service skills. Intapp configuration tools, including Forms, Workflows, and data sets. Cloud technologies, including features, integrations, and release management. System integrations such as APIs, web services, FTP, and database-to-database connections. AI and Generative AI concepts, and their applications within legal industry technology and broader IT ecosystems. SQL Server, SQL development/queries, and reporting tools. Project planning, resource management, and collaboration tools such as Confluence and JIRA. Security best practices, standards, and procedures. Data governance principles and best practices. Strong analytical and problem-solving capabilities. Clear written and verbal communication accessible to non-technical users. High effectiveness in collaborative, team-driven environments. Qualifications Minimum of 7 years of experience in information technology. Minimum of 5 years supporting enterprise platforms. Minimum of 3 years working with Intapp Conflicts, Intake, Walls, and Terms, or similar risk and compliance solutions. At least 3 years of executive-level stakeholder engagement and customer service experience preferred. At least 3 years of experience in a professional services or legal environment preferred. Minimum of 3 years working with cloud or SaaS solutions.

Lead Platform Engineer (Network Infrastructure) Do you love building and pioneering in the technology space? Do you enjoy solving complex technical problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Platform Engineers who are passionate about creating and supporting Network Infrastructure with emerging technologies to join our team. As a Platform Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. General Responsibilities: Network engineer responsible for designing, implementing, managing and troubleshooting computer networks to ensure efficient and secure communication within the Capital One network. Role would include, but not limited to: Network Design & Architecture - Planning and developing network infrastructure based on business needs. Creating Bill of Materials and getting quotes from vendors. Ordering and installing network circuits. Installation & Configuration - Setting up routers, SD-WAN routers, switches, Out of Band management and other network equipment. Maintenance & Optimization - Monitoring performance, troubleshooting issues, and optimizing network efficiency. Security Management - Implementing security measures to protect against threats. Support & Troubleshooting - Diagnosing and resolving connectivity and performance issues. Upgrades & Scalability - Keeping networks updated with the latest technology and ensuring they can scale as the organization grows. Work with various networking technologies including LANs, WANs, SDWANs, VPNs, cloud networking and wireless networks, ensuring seamless communication and data transfer. Automation and scripting is highly desired to have. Brands of hardware- Cisco, Versa SDWAN, Lantronix. Basic Qualifications: High School Diploma, GED, or equivalent certification At least 6 years of experience using build and deployment tools (Jenkins, GitHub, or Artifactory) At least 4 years of experience with AWS At least 2 years of team leadership experience Preferred Qualifications: 5+ years of experience with Cisco network hardware and software 2+ years of experience in Python or ansible scripting At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,400 - $180,800 for Lead Platform Engineer Chicago, IL: $144,000 - $164,400 for Lead Platform Engineer McLean, VA: $158,400 - $180,800 for Lead Platform Engineer New York, NY: $172,800 - $197,200 for Lead Platform Engineer Plano, TX: $144,000 - $164,400 for Lead Platform Engineer Richmond, VA: $144,000 - $164,400 for Lead Platform Engineer San Francisco, CA: $172,800 - $197,200 for Lead Platform Engineer San Jose, CA: $172,800 - $197,200 for Lead Platform Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

(F2F Required, Onsite from Day 1 & Telecom Experience) Long Term We are looking for a Senior Application Security Engineer to join our growing team and play a hands-on role in strengthening security across our development lifecycle. In this role, you'll work side-by-side with engineering teams to integrate security tooling into CI/CD pipelines, automate workflows, and reduce vulnerability management overhead. You'll have the opportunity to own core pillars of our AppSec program (e.g., SAST, DAST, SCA, Container, IaC) while helping shape the future of security at scale in a fast-paced environment. Primary Responsibilities: Build & integrate security tooling into CI/CD pipelines (SAST, SCA, DAST, container, IaC), ensuring scans are reliable, fast, and frictionless for developers. Automate vulnerability management workflows (ticketing, reporting, dashboards) to reduce manual effort and improve visibility. Partner with engineering teams to troubleshoot findings, refine pipelines, and provide actionable guidance. Take ownership of one or more AppSec program pillars and drive continuous improvement in that domain. Support penetration testing engagements (internal and external) by contributing to scoping, coordinating, and validating findings. Contribute to developer enablement, helping teams adopt and get the most out of security tooling.

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).