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Job Description Job Description Description About The Role: Innovative Defense Technologies (IDT), a leading defense technology company, is seeking a DevSecOps Engineer to be part of our Internal DevSecOps team and based out of one of our locations: Mount Laurel NJ, Arlington, VA, or Fall River, MA. Our internal DevSecOps (DSO) team's intent is to accelerate, across all IDT software teams, the experimentation, development, testing, and delivery of secure, compliant, and high-quality software. We will achieve this by maintaining a secure software factory and trusted DevSecOps environments, continuously improving the developer experience, and fostering collaboration and shared best practices across our engineering workflows. We will be successful when all software teams can confidently and independently deliver frequent prototypes, updates, and production ready releases through the DSO secured software factory with minimal IDSO intervention. In this mid-level role, you will not just run pipelines, you will design CI/CD. You will architect reusable Infrastructure as Code (IaC) modules, automate security compliance frameworks, and engineer platform solutions that empower IDT software teams to deliver to our customers with confidence and velocity. Clearance & Location Requirements: All applicants must be able to obtain/maintain an active Secret U.S. Security Clearance. This is an on-site position. Requiring at least 3 days in office, based out of our Arlington, VA, Mount Laurel, NJ, or Fall River, MA office. Key Responsibilities What You Will Do: Design, architect, and optimize CI/CD pipelines using Jenkins, developing reusable pipeline templates and custom shared components to streamline execution across all software teams Hard code and automate advanced security controls (SAST, SCA, container scanning, SBOM generation, secrets detection) directly into the pipeline fabric, establishing guardrails that run autonomously Configure, scale, and secure our Software Factory platform (GitLab, JFrog Artifactory, SonarQube), managing system setups, staging and testing clusters, and automated tool backups Design, modularize, and maintain Infrastructure as Code (IaC) blueprints using Ansible and OpenTofu, designing automation models the DSO team, as well as other engineering teams, can use to spin up environments and deployments Orchestrate and optimize containerized clusters using Podman, securing cluster communications, and managing local registry synchronization. Own and harden DSO platform deployments in secure, air-gapped environments, including: packaging and deploying dependencies remediating environment-specific issues supporting repeatable software delivery without external connectivity collaborate with the SECOPs teams to maintain DSO platform compliance Automate compliance enforcement by translating DISA STIGs, NIST 800-171, and RMF controls into automated pipeline validation scripts and policy-as-code configurations Diagnose and remediate complex, low-level system friction points (e.g., SELinux policy denials, pipeline token validation issues, and local network/VPN bottlenecks), defining long-term fixes to prevent recurrence Analyze developer telemetry, feedback loops, and build metrics to proactively eliminate pipeline friction, continuously improving the overall Developer Experience (DX) Partner with cross-functional software, security, and systems engineering teams to establish collaborative delivery patterns and guide developers on DSO best practices Skills, Knowledge & Expertise Who You Are (Required): 5-7 years of professional, post-graduation experience in a DevSecOps, DevOps, Platform/Systems Engineering, or Software Engineering role with a strong emphasis on automation or platform administration Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience U.S. citizenship Ability to travel up to 10% Strong working knowledge of modern, secure Software Development Life Cycle (SDLC) methodologies (e.g., Agile/Scrum, branching strategies, secure code reviews, automated linting, and release packaging) Practical experience building and scale-optimizing CI/CD pipelines using Jenkins or some other CI/CD orchestrator (such as building custom shared libraries, declarative pipelines, or automated test hooks) Practical experience orchestrating containerized workloads using Podman (or Docker/Kubernetes), including network configuration, container storage, and local registry sync Proven capability writing and modularizing Infrastructure as Code (IaC) utilizing Ansible, OpenTofu, or some other automation technique, to deploy robust, repeatable environments Intermediate programming depth in Python (e.g., writing API clients, custom scripts, or automation frameworks) combined with strong Linux/Unix systems-level Bash scripting Strong proficiency with Git version control, including managing branch strategies, resolving merge conflicts, and utilizing Git Hooks or API-driven integrations Demonstrated systems-level troubleshooting skills, with the ability to diagnose root causes of low-level OS, container, or CI/CD pipeline issues Collaborative, enablement-focused mindset with strong communication skills, eager to mentor junior engineers and help software teams self-solve platform issues What Makes You Stand Out: Experience designing Software Bill of Materials (SBOM) auditing workflows or navigating open-source license compliance (e.g., managing GPL/LGPL risks) Experience architecting or configuring high-performance local AI infrastructure (e.g., GPU clusters, vLLM orchestration, or vector databases like Qdrant) behind a VPN or in air-gapped setups Experience configuring custom pipeline diagnostics, usage telemetry, or observability stacks (Prometheus, Grafana, ELK) to monitor platform health and usage Active Secret or Top Secret security clearance, with practical experience applying DISA STIGs or preparing environments for CMMC audits If you see yourself reflected in this role and are excited about the impact you could make, we encourage you to apply! If you know someone who may be a great fit, please feel free to share this opportunity with your network. Pay Range : $114,000 - $184,000 or $135,000 - $231,000 This amount may not be reflective of actual compensation that may be earned as pay is dependent on a candidate's experience, skills, and education. The posted range does not include bonuses, commissions, tips, or other benefits. IDT is often looking to place multiple candidates at various levels. Therefore, more than one pay range has been included, commensurate with experience. Job Benefits Why Work at Innovative Defense Technologies (IDT): IDT is a growing company with a vibrant, entrepreneurial culture. We are headquartered in Arlington, VA with additional offices in Fall River, MA; Mount Laurel, NJ; and San Diego, CA. At each location, our employees work together in a modern, snack-filled, and social office space, designing innovative solutions for our defense industry customers. We offer employees competitive pay and benefits including: Generous benefits package Competitive PTO Paid holidays 401(k) with immediate vesting and matching 9/80 optional schedule (2nd and 4th Friday off every month) Tuition Assistance Reimbursement Program Professional Development Resources Pre-Tax Commuter Benefits Organization-Wide Monthly Tech Connect Events Annual Employee Recognition Awards Regular Social Events and Catered Lunches EEO Statement: IDT is an Equal Opportunity employer.

Job Description Job Description Attention: Kapitus is aware that individuals posing as recruiters may be communicating with job seekers about supposed positions with Kapitus. Kapitus has received reports that the content and method of communication can vary, but messages may contain requests for payment (e.g., fees for equipment or training) and/or for sensitive financial information. Kapitus will never ask a candidate for employment for payment or financial information during the initial application or interview process. All open positions are posted in location specific employment portals available at All legitimate Kapitus job postings on employment sites will direct candidates to complete an application through these portals before completion of the hiring process. Candidates with additional questions or concerns regarding any recruiting communications or Kapitus' recruiting process in general should email Kapitus has helped small and midsize businesses access capital for two decades, funding roughly $2 billion to date and building toward $6 billion and beyond. We originate, decision, fund, and service financing every day across a growing set of products and partner channels. As we scale, we are investing in the technology and quality foundation that growth depends on. We are standing up a modern quality-engineering practice built on automated regression, and we are hiring a hands-on QE Automation Lead to own the strategy, the framework, and the team that delivers it. You will set the automation standards, architect and govern the framework, mentor the engineers, and make release readiness measurable, in close partnership with Product, Development, DevOps, and Architecture. You will also lead the shift from a largely manual regression model to reliable, pipeline-gated automation, the change that lets Kapitus release faster with higher confidence. What You Will Do: Lead the strategy. Own the automation strategy and technical direction across multiple QE teams, products, and delivery streams. Partner across the org. Align quality priorities, delivery risks, and release-readiness expectations with Product, Development, DevOps, Architecture, and Leadership. Build and govern the framework. Design, evolve, and govern scalable automation frameworks and reusable components using Playwright with TypeScript. Set the standards. Establish automation standards for test design, code quality, reviews, branching, test data, maintainability, reporting, and framework adoption. Stay hands-on. Develop, review, debug, and optimize automated tests across UI, API, integration, end-to-end, and data-validation layers. Wire quality into CI/CD. Integrate automated tests and quality gates into CI/CD pipelines for fast, reliable feedback across the delivery lifecycle, and move toward automation in the Definition of Done. Make quality measurable. Define and report actionable quality and automation metrics: coverage, pass rate, defect trends, escape rate, flaky-test rate, execution time, and automation effectiveness. Prioritize by risk. Use data and risk-based analysis to prioritize automation investment, identify quality gaps, and communicate product risk and release readiness to technical and non-technical stakeholders. Lead root-cause analysis. Lead root-cause analysis for complex failures and recurring defects, separating application, environment, test-data, integration, and automation issues. Mentor and grow the team. Guide, review, pair with, and grow the QE engineers, raising engineering standards across the team. Coordinate distributed delivery. Coordinate work across distributed teams, remove roadblocks, and drive consistent execution and accountability. Champion shift-left quality. Improve story testability, acceptance criteria, test planning, and in-sprint automation so quality moves earlier. Lead the shift to automation. Lead the transition from manual regression to automated regression, retiring manual effort as automated coverage proves out and runs green in CI, and capturing manual test cases into automation as you go. Govern new and AI-assisted tooling. Evaluate emerging tools and AI-assisted testing approaches, applying governance and quality controls before adoption. Stay current. Track fintech trends, regulatory considerations, cloud technologies, and modern quality-engineering practices. What We're Looking For: 8+ years experience in software quality engineering, including three or more leading automation initiatives or providing technical leadership across multiple teams. Proven ability to lead, influence, and align distributed QE teams without relying solely on direct reporting relationships. Advanced hands-on experience designing, coding, debugging, and reviewing automation using Playwright with TypeScript or comparable modern technologies. Demonstrated success building scalable automation frameworks and reusable libraries across UI, API, integration, end-to-end, and data layers. Strong grasp of software architecture, object-oriented programming, test design patterns, clean code, and maintainable automation practices. Experience integrating automation with CI/CD platforms and implementing quality gates, parallel execution, cross-browser coverage, reporting, and failure diagnostics. Experience defining and communicating quality KPIs and using metrics to drive decisions, prioritization, and continuous improvement. Strong knowledge of API testing, test-data management, backend validation, SQL, and service-integration testing. Experience testing Salesforce solutions and full-stack applications across UI, API, integration, and data layers. Proven mentoring, coaching, and technical-review skills that raise engineering standards across teams. Excellent executive-level communication and stakeholder management, including presenting quality status, risks, tradeoffs, and recommendations clearly. Strong analytical, problem-solving, prioritization, and decision-making skills in complex delivery environments. Solid command of Agile and Scrum, DevOps, shift-left testing, risk-based testing, and the full software development lifecycle. Experience with Jira, Confluence, Zephyr Scale, Git-based workflows, and modern CI/CD tooling. Experience in financial services, regulated environments, or high-availability platforms is strongly preferred. Automation leadership: strategy, framework governance, coding standards, code reviews, mentoring, and cross-team adoption. Automation framework: advanced Playwright and TypeScript, including reusable fixtures, page and component models, parallel execution, cross-browser testing, tracing, and reporting. Test coverage: functional, regression, API, integration, end-to-end, contract, and data-validation automation. Application platforms: Salesforce and full-stack applications across front-end, back-end, API, integration, and data layers. API and data testing: Postman, Swagger and OpenAPI, REST and JSON, SQL, and backend validation. CI/CD and source control: GitHub or Bitbucket, pull-request workflows, and pipeline integration using Jenkins, GitHub Actions, Azure DevOps, or comparable tools. Quality metrics: automation coverage, pass rate, flaky-test rate, defect trends, escaped defects, execution duration, and release-readiness reporting. Test management and collaboration: Jira, Confluence, and Zephyr Scale. Working knowledge of security, accessibility, and performance testing principles Nice to Have: Additional languages and tools: Python, JavaScript, SQL, Java, Selenium, Cypress, Pytest, Rest Assured, or Cucumber. AWS services, containerized test execution, cloud-based test environments, and observability platforms. Performance testing with JMeter or k6, and accessibility testing standards and tools. Migrating legacy automation suites to Playwright or consolidating multiple frameworks. Applying AI-assisted testing responsibly to improve test design, coverage, maintenance, or defect analysis. Relevant certifications such as ISTQB, AWS, Agile, or DevOps. Kapitus Total Rewards Package Includes: Competitive SalaryRange of $117,800-$189,000 annually. Kapitus is providing this as a good faith salary range to comply with applicable law. The applicant's final salary will depend on a number of factors including the applicant's geographic location, skills, and experience Annual Incentive Compensation Eligibility - Up to 10% annually Health Insurance: Comprehensive medical, dental, and employer-paid vision plans through UnitedHealthcare (UHC), with various coverage levels available to meet the needs of our employees and their families. Additional perks through UHC include: Sweat Equity, free subscription to the Calm App, UHC rewards, Real Appeal, and Quit For Life. Flexible Spending Account: Set aside pre-tax dollars from your paycheck to pay for qualified out-of-pocket medical, dental, vision, pharmacy or dependent care expenses. Lifestyle Spending Account: Employer sponsored post-tax benefits that allow reimbursement for expenses related to physical, mental and financial well-being. 100% Company Paid Insurances: Kapitus fully covers the cost of basic short-term and long-term disability insurance, as well as vision insurance, ensuring our employees have comprehensive protection without any personal expense. . click apply for full job details

Job Description Job Description Attention: Kapitus is aware that individuals posing as recruiters may be communicating with job seekers about supposed positions with Kapitus. Kapitus has received reports that the content and method of communication can vary, but messages may contain requests for payment (e.g., fees for equipment or training) and/or for sensitive financial information. Kapitus will never ask a candidate for employment for payment or financial information during the initial application or interview process. All open positions are posted in location specific employment portals available at All legitimate Kapitus job postings on employment sites will direct candidates to complete an application through these portals before completion of the hiring process. Candidates with additional questions or concerns regarding any recruiting communications or Kapitus' recruiting process in general should email Kapitus has helped small and midsize businesses access capital for two decades, funding roughly $2 billion to date and building toward $6 billion and beyond. We originate, decision, fund, and service financing every day across a growing set of products and partner channels. As we scale, we are investing in the technology and quality foundation that growth depends on. We are standing up a modern quality-engineering practice built on automated regression, and we are hiring a hands-on QE Automation Lead to own the strategy, the framework, and the team that delivers it. You will set the automation standards, architect and govern the framework, mentor the engineers, and make release readiness measurable, in close partnership with Product, Development, DevOps, and Architecture. You will also lead the shift from a largely manual regression model to reliable, pipeline-gated automation, the change that lets Kapitus release faster with higher confidence. What You Will Do: Lead the strategy. Own the automation strategy and technical direction across multiple QE teams, products, and delivery streams. Partner across the org. Align quality priorities, delivery risks, and release-readiness expectations with Product, Development, DevOps, Architecture, and Leadership. Build and govern the framework. Design, evolve, and govern scalable automation frameworks and reusable components using Playwright with TypeScript. Set the standards. Establish automation standards for test design, code quality, reviews, branching, test data, maintainability, reporting, and framework adoption. Stay hands-on. Develop, review, debug, and optimize automated tests across UI, API, integration, end-to-end, and data-validation layers. Wire quality into CI/CD. Integrate automated tests and quality gates into CI/CD pipelines for fast, reliable feedback across the delivery lifecycle, and move toward automation in the Definition of Done. Make quality measurable. Define and report actionable quality and automation metrics: coverage, pass rate, defect trends, escape rate, flaky-test rate, execution time, and automation effectiveness. Prioritize by risk. Use data and risk-based analysis to prioritize automation investment, identify quality gaps, and communicate product risk and release readiness to technical and non-technical stakeholders. Lead root-cause analysis. Lead root-cause analysis for complex failures and recurring defects, separating application, environment, test-data, integration, and automation issues. Mentor and grow the team. Guide, review, pair with, and grow the QE engineers, raising engineering standards across the team. Coordinate distributed delivery. Coordinate work across distributed teams, remove roadblocks, and drive consistent execution and accountability. Champion shift-left quality. Improve story testability, acceptance criteria, test planning, and in-sprint automation so quality moves earlier. Lead the shift to automation. Lead the transition from manual regression to automated regression, retiring manual effort as automated coverage proves out and runs green in CI, and capturing manual test cases into automation as you go. Govern new and AI-assisted tooling. Evaluate emerging tools and AI-assisted testing approaches, applying governance and quality controls before adoption. Stay current. Track fintech trends, regulatory considerations, cloud technologies, and modern quality-engineering practices. What We're Looking For: 8+ years experience in software quality engineering, including three or more leading automation initiatives or providing technical leadership across multiple teams. Proven ability to lead, influence, and align distributed QE teams without relying solely on direct reporting relationships. Advanced hands-on experience designing, coding, debugging, and reviewing automation using Playwright with TypeScript or comparable modern technologies. Demonstrated success building scalable automation frameworks and reusable libraries across UI, API, integration, end-to-end, and data layers. Strong grasp of software architecture, object-oriented programming, test design patterns, clean code, and maintainable automation practices. Experience integrating automation with CI/CD platforms and implementing quality gates, parallel execution, cross-browser coverage, reporting, and failure diagnostics. Experience defining and communicating quality KPIs and using metrics to drive decisions, prioritization, and continuous improvement. Strong knowledge of API testing, test-data management, backend validation, SQL, and service-integration testing. Experience testing Salesforce solutions and full-stack applications across UI, API, integration, and data layers. Proven mentoring, coaching, and technical-review skills that raise engineering standards across teams. Excellent executive-level communication and stakeholder management, including presenting quality status, risks, tradeoffs, and recommendations clearly. Strong analytical, problem-solving, prioritization, and decision-making skills in complex delivery environments. Solid command of Agile and Scrum, DevOps, shift-left testing, risk-based testing, and the full software development lifecycle. Experience with Jira, Confluence, Zephyr Scale, Git-based workflows, and modern CI/CD tooling. Experience in financial services, regulated environments, or high-availability platforms is strongly preferred. Automation leadership: strategy, framework governance, coding standards, code reviews, mentoring, and cross-team adoption. Automation framework: advanced Playwright and TypeScript, including reusable fixtures, page and component models, parallel execution, cross-browser testing, tracing, and reporting. Test coverage: functional, regression, API, integration, end-to-end, contract, and data-validation automation. Application platforms: Salesforce and full-stack applications across front-end, back-end, API, integration, and data layers. API and data testing: Postman, Swagger and OpenAPI, REST and JSON, SQL, and backend validation. CI/CD and source control: GitHub or Bitbucket, pull-request workflows, and pipeline integration using Jenkins, GitHub Actions, Azure DevOps, or comparable tools. Quality metrics: automation coverage, pass rate, flaky-test rate, defect trends, escaped defects, execution duration, and release-readiness reporting. Test management and collaboration: Jira, Confluence, and Zephyr Scale. Working knowledge of security, accessibility, and performance testing principles Nice to Have: Additional languages and tools: Python, JavaScript, SQL, Java, Selenium, Cypress, Pytest, Rest Assured, or Cucumber. AWS services, containerized test execution, cloud-based test environments, and observability platforms. Performance testing with JMeter or k6, and accessibility testing standards and tools. Migrating legacy automation suites to Playwright or consolidating multiple frameworks. Applying AI-assisted testing responsibly to improve test design, coverage, maintenance, or defect analysis. Relevant certifications such as ISTQB, AWS, Agile, or DevOps. Kapitus Total Rewards Package Includes: Competitive SalaryRange of $117,800-$189,000 annually. Kapitus is providing this as a good faith salary range to comply with applicable law. The applicant's final salary will depend on a number of factors including the applicant's geographic location, skills, and experience Annual Incentive Compensation Eligibility - Up to 10% annually Health Insurance: Comprehensive medical, dental, and employer-paid vision plans through UnitedHealthcare (UHC), with various coverage levels available to meet the needs of our employees and their families. Additional perks through UHC include: Sweat Equity, free subscription to the Calm App, UHC rewards, Real Appeal, and Quit For Life. Flexible Spending Account: Set aside pre-tax dollars from your paycheck to pay for qualified out-of-pocket medical, dental, vision, pharmacy or dependent care expenses. Lifestyle Spending Account: Employer sponsored post-tax benefits that allow reimbursement for expenses related to physical, mental and financial well-being. 100% Company Paid Insurances: Kapitus fully covers the cost of basic short-term and long-term disability insurance, as well as vision insurance, ensuring our employees have comprehensive protection without any personal expense. . click apply for full job details

Job Description Job Description Attention: Kapitus is aware that individuals posing as recruiters may be communicating with job seekers about supposed positions with Kapitus. Kapitus has received reports that the content and method of communication can vary, but messages may contain requests for payment (e.g., fees for equipment or training) and/or for sensitive financial information. Kapitus will never ask a candidate for employment for payment or financial information during the initial application or interview process. All open positions are posted in location specific employment portals available at All legitimate Kapitus job postings on employment sites will direct candidates to complete an application through these portals before completion of the hiring process. Candidates with additional questions or concerns regarding any recruiting communications or Kapitus' recruiting process in general should email Kapitus has helped small and midsize businesses access capital for two decades, funding roughly $2 billion to date and building toward $6 billion and beyond. We originate, decision, fund, and service financing every day across a growing set of products and partner channels. As we scale, we are investing in the technology and quality foundation that growth depends on. We are standing up a modern quality-engineering practice built on automated regression, and we are hiring a hands-on QE Automation Lead to own the strategy, the framework, and the team that delivers it. You will set the automation standards, architect and govern the framework, mentor the engineers, and make release readiness measurable, in close partnership with Product, Development, DevOps, and Architecture. You will also lead the shift from a largely manual regression model to reliable, pipeline-gated automation, the change that lets Kapitus release faster with higher confidence. What You Will Do: Lead the strategy. Own the automation strategy and technical direction across multiple QE teams, products, and delivery streams. Partner across the org. Align quality priorities, delivery risks, and release-readiness expectations with Product, Development, DevOps, Architecture, and Leadership. Build and govern the framework. Design, evolve, and govern scalable automation frameworks and reusable components using Playwright with TypeScript. Set the standards. Establish automation standards for test design, code quality, reviews, branching, test data, maintainability, reporting, and framework adoption. Stay hands-on. Develop, review, debug, and optimize automated tests across UI, API, integration, end-to-end, and data-validation layers. Wire quality into CI/CD. Integrate automated tests and quality gates into CI/CD pipelines for fast, reliable feedback across the delivery lifecycle, and move toward automation in the Definition of Done. Make quality measurable. Define and report actionable quality and automation metrics: coverage, pass rate, defect trends, escape rate, flaky-test rate, execution time, and automation effectiveness. Prioritize by risk. Use data and risk-based analysis to prioritize automation investment, identify quality gaps, and communicate product risk and release readiness to technical and non-technical stakeholders. Lead root-cause analysis. Lead root-cause analysis for complex failures and recurring defects, separating application, environment, test-data, integration, and automation issues. Mentor and grow the team. Guide, review, pair with, and grow the QE engineers, raising engineering standards across the team. Coordinate distributed delivery. Coordinate work across distributed teams, remove roadblocks, and drive consistent execution and accountability. Champion shift-left quality. Improve story testability, acceptance criteria, test planning, and in-sprint automation so quality moves earlier. Lead the shift to automation. Lead the transition from manual regression to automated regression, retiring manual effort as automated coverage proves out and runs green in CI, and capturing manual test cases into automation as you go. Govern new and AI-assisted tooling. Evaluate emerging tools and AI-assisted testing approaches, applying governance and quality controls before adoption. Stay current. Track fintech trends, regulatory considerations, cloud technologies, and modern quality-engineering practices. What We're Looking For: 8+ years experience in software quality engineering, including three or more leading automation initiatives or providing technical leadership across multiple teams. Proven ability to lead, influence, and align distributed QE teams without relying solely on direct reporting relationships. Advanced hands-on experience designing, coding, debugging, and reviewing automation using Playwright with TypeScript or comparable modern technologies. Demonstrated success building scalable automation frameworks and reusable libraries across UI, API, integration, end-to-end, and data layers. Strong grasp of software architecture, object-oriented programming, test design patterns, clean code, and maintainable automation practices. Experience integrating automation with CI/CD platforms and implementing quality gates, parallel execution, cross-browser coverage, reporting, and failure diagnostics. Experience defining and communicating quality KPIs and using metrics to drive decisions, prioritization, and continuous improvement. Strong knowledge of API testing, test-data management, backend validation, SQL, and service-integration testing. Experience testing Salesforce solutions and full-stack applications across UI, API, integration, and data layers. Proven mentoring, coaching, and technical-review skills that raise engineering standards across teams. Excellent executive-level communication and stakeholder management, including presenting quality status, risks, tradeoffs, and recommendations clearly. Strong analytical, problem-solving, prioritization, and decision-making skills in complex delivery environments. Solid command of Agile and Scrum, DevOps, shift-left testing, risk-based testing, and the full software development lifecycle. Experience with Jira, Confluence, Zephyr Scale, Git-based workflows, and modern CI/CD tooling. Experience in financial services, regulated environments, or high-availability platforms is strongly preferred. Automation leadership: strategy, framework governance, coding standards, code reviews, mentoring, and cross-team adoption. Automation framework: advanced Playwright and TypeScript, including reusable fixtures, page and component models, parallel execution, cross-browser testing, tracing, and reporting. Test coverage: functional, regression, API, integration, end-to-end, contract, and data-validation automation. Application platforms: Salesforce and full-stack applications across front-end, back-end, API, integration, and data layers. API and data testing: Postman, Swagger and OpenAPI, REST and JSON, SQL, and backend validation. CI/CD and source control: GitHub or Bitbucket, pull-request workflows, and pipeline integration using Jenkins, GitHub Actions, Azure DevOps, or comparable tools. Quality metrics: automation coverage, pass rate, flaky-test rate, defect trends, escaped defects, execution duration, and release-readiness reporting. Test management and collaboration: Jira, Confluence, and Zephyr Scale. Working knowledge of security, accessibility, and performance testing principles Nice to Have: Additional languages and tools: Python, JavaScript, SQL, Java, Selenium, Cypress, Pytest, Rest Assured, or Cucumber. AWS services, containerized test execution, cloud-based test environments, and observability platforms. Performance testing with JMeter or k6, and accessibility testing standards and tools. Migrating legacy automation suites to Playwright or consolidating multiple frameworks. Applying AI-assisted testing responsibly to improve test design, coverage, maintenance, or defect analysis. Relevant certifications such as ISTQB, AWS, Agile, or DevOps. Kapitus Total Rewards Package Includes: Competitive SalaryRange of $117,800-$189,000 annually. Kapitus is providing this as a good faith salary range to comply with applicable law. The applicant's final salary will depend on a number of factors including the applicant's geographic location, skills, and experience Annual Incentive Compensation Eligibility - Up to 10% annually Health Insurance: Comprehensive medical, dental, and employer-paid vision plans through UnitedHealthcare (UHC), with various coverage levels available to meet the needs of our employees and their families. Additional perks through UHC include: Sweat Equity, free subscription to the Calm App, UHC rewards, Real Appeal, and Quit For Life. Flexible Spending Account: Set aside pre-tax dollars from your paycheck to pay for qualified out-of-pocket medical, dental, vision, pharmacy or dependent care expenses. Lifestyle Spending Account: Employer sponsored post-tax benefits that allow reimbursement for expenses related to physical, mental and financial well-being. 100% Company Paid Insurances: Kapitus fully covers the cost of basic short-term and long-term disability insurance, as well as vision insurance, ensuring our employees have comprehensive protection without any personal expense. . click apply for full job details

Job Description Job Description Looking for meaningful work where you can make a difference in global innovation? Engineer a better future with Aerotech, a global leader in precision motion and automation. Our customers create some of the most innovative products on the planet, from life-saving medical devices to tools for deep space exploration. Our precision motion and automation systems make it all possible. Build a lasting, satisfying career at Aerotech, where we foster growth, empower employees and promote from within. You'll find unparalleled opportunities and a company that values your voice. We also provide an extensive total rewards compensation system, including: Bonus payments every 6 months Rich health plans Retirement planning with our 100% company-paid Employee Stock Ownership Trust If you're mechanically inclined or technically savvy with a passion for cutting-edge technology, we want to hear from you. Position Summary Designs, implements, and maintains the applications and front-end features/functionality of Aerotech's motion control software using C#/.NET and related technologies. Essential Functions Uses various programming languages to design, develop, and maintain desktop software applications and libraries that our customers and employees use to configure, control, and monitor Aerotech's motion control products. Designs and implements user interfaces, with a focus on user experience. Designs code that interacts with lower levels of the software stack. Designs, implements, and maintains advanced manufacturing support applications. Interacts with engineers in a team environment to debug complex, time-critical problems, implement new features, and participate in all phases of the software development life cycle. Maintains and utilizes knowledge of Microsoft Visual Studio, source control, and object-oriented programming concepts. Uses critical thinking skills to debug problems with our products and develop solutions to these problems. Conducts tests to verify the implementation of new features and the proper operation of our motion control products. Provides and reviews technical documentation. Quickly adapts to different technologies and project/product contexts. Thrives in a team environment and works well independently. Ensures our software meets or exceeds Aerotech's quality standards. Minimum Qualifications Bachelor of Science (BS) or Master of Science (MS) degree in Computer Science, Computer Engineering, Software Engineering, Information Science, Electrical Engineering, or similar major from an accredited college or university Zero to five years of relevant work experience Thorough knowledge of an object-oriented (e.g., C#, Java) programming language Must be authorized to work in the US without sponsorship. Aerotech does not provide US work authorization sponsorship for this position. OPT and CPT visa holders are not eligible for employment if they will need work authorization sponsorship at any time in the future. Experience or working knowledge in one or more of the following areas is a plus: UI design or web development WPF, XAML, and MVVM Prism or other UI/application frameworks As part of our engineer development program, your position will include work experiences (via short-term rotations) in related engineering roles (typically in different departments). Any such rotations will be arranged with your supervisor - aligning your interests with business needs as available. Must be authorized to work in the US currently and in the future without employer sponsorship. As an Equal Employment Opportunity/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, Veteran or disability status. The Company is collecting the information requested in this employment application for purposes of evaluating your suitability for hire by the Company. The Company will share the information that you provide in this employment application only with Company management officials who are involved in the hiring process or who are otherwise involved in making employment-related decisions on behalf of the Company. Aerotech, Inc. is providing this notice to applicants regarding our use of Automated Decision-Making Technology (ADMT). We use these tools to assist in evaluating job applications and identifying qualified candidates for our open positions. We utilize ADMT for initial screening purposes through automated "knockout questions" to determine if a candidate meets the minimum mandatory requirements for a role. You have the right to opt-out of ADMT by applying using the following link: General Application without ADMT Powered by JazzHR F6xsydip1r

Job Description Job Description Belay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2019, runner up in 2020 and a finalist in 2021! Belay Technologies is seeking a Software Engineer (AI Focus). We are seeking a Software Engineer I with a focus on AI to support analysts and operators by developing and refining the software that integrates AI capabilities into CNO workflows. In this role, you will integrate diverse data sources and external APIs with MCP tools to enable seamless, scalable system interoperability. You will work under the guidance of senior engineers to ensure AI tools are stable, reliable, and seamlessly integrated into the customer's existing toolset. Responsibilities : Develop agentic integrations with Python that leverage multiple AI models, APIs, and data sources in production. Build tools and agentic workflows within modern frameworks like PydanticAI, Langgraph, and DeepAgents. Interact with mission stakeholders to elicit requirements and devise solutions. Navigate customer data types to identify and extract relevant information. Collaborate with other software engineers to test workflows, identify issues, and recommend pathways for fixes. Candidates should have the following qualifications: TS/SCI Clearance with polygraph 3 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S. Candidates are desired to have the following skills: Proficiency in Python, particularly in handling JSON, interacting with REST APIs, and data manipulation. Experience leveraging HTTP-based APIs to access data through queries. Understanding of AI development concepts, including prompt engineering, context management, structured outputs, and tool/function calling. Familiarity with software source control (Git) and the Atlassian tool suite (Jira, Confluence). Familiarity with presenting data analysis results to customers. Nice to Haves: Experience with agentic workflows and multi-agent orchestration. Basic knowledge of end-to-end SIGINT collection and analysis systems. Background in cybersecurity or understanding of security operations workflows. Gitlab CICD automation. Experience with retrieval systems (RAG, vector databases, semantic search). Familiarity with production CNO capabilities and operations. Practical experience in one or more artificial intelligence domains (e.g., intelligent systems, autonomy, planning, LLMs). Familiarity with cloud computing technologies (AWS, Docker, Kubernetes). Perks and Benefits: 8 weeks paid leave - 4 weeks of personal leave, 3 Yay! days, take off on your birthday,11 paid holidays and optional leave up to 6 days through Belay's volunteer program 10% matching in 401(k) contributions vested on day one $5,000 annual training/tuition Student Loan Repayment Program 100% company-funded HSA Rich medical coverage (100% coinsurance) Dental coverage including orthodontia Up to $420,000 in life insurance, premiums 100% company funded Amazon Prime, gym reimbursement, monthly lunches, games and prizes Pet adoption program, generous referral bonus program, fun events, and more! At Belay, we are committed to creating an environment where you can thrive both professionally and personally. We believe in transparency and fairness in compensation. Several factors influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, education, specific skills and competencies and certifications. Belay offers a competitive total compensation package that includes benefits and perks, a flexible work-life balance, and career development. Salary Range: $70,000 to $190,000 Belay Technologies is a certified Service-Disabled Veteran-Owned Small Business located in Columbia, Maryland (Baltimore/Washington area). Belay Technologies specializes in systems automation and full stack development. Belay Technologies provides leading technology and engineering solutions to the DoD, as well as state-of-the-art commercial products. We hire software engineers, web designers, test engineers, systems engineers, systems administrators, database engineers and other tech services. We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Powered by JazzHR Wl0U8BYt2N

Job Description QA Engineer Quality Engineering Testing a Platform Whose Output Is Generated Function: Quality Engineering Reports to: Engineering leadership Location: Las Vegas, NV - on-site. This is not a remote or hybrid role. Level: QA Engineer Employment type: Full-time Experience: Approximately 2-5 years in a software quality role Work authorization: Must be authorized to work in the United States About the Role Regara is a clinical and regulatory intelligence platform for the life sciences industry. Device, pharma, and biotech companies use us to plan and prepare what they need to bring a product to market - regulatory strategy, clinical protocols, study reports, and submission dossiers - across multiple markets. AI is the product. We run a platform of autonomous agents that research live data, reason over it, and draft complete technical documents end to end. That makes quality a genuinely hard problem. The output is generated rather than fixed, the same input can produce different text twice, and the artifact at the end is a document a customer files with a regulator. What makes this different from most QA work. A defect here is not a misaligned button. It is a wrong number, an unsupported claim, or a citation whose source does not say what it is cited for. A generated document can be fluent, well formatted, and wrong - and nothing on the screen will tell you. Catching those before a customer does is the job. This is a dedicated quality role. You are not being hired to write product features between test cycles; you are being hired because the hardest quality problem at this company needs someone whose full attention is on it. You will own a test surface end to end - from exploratory passes and the cases you write, through the defect trail, to confirming the fix in production. What You Will Actually Work On 1. Exploratory and Functional Testing Use the product the way a customer would, then go looking for the places it gives way. Run functional and UI/UX passes across dispatch flows, result views, and admin tooling. Probe the edges - empty states, oversized inputs, interrupted runs, permissions, and browser and viewport differences. Test the workflows customers actually run, not just the screens in isolation. Re-test each release and catch what regressed. 2. Test Design and Regression Coverage Turn what you learn into something repeatable that outlives any one release. Write and maintain test cases and checklists covering core user workflows. Own the regression suite the team runs before a release, and keep it current as the product changes. Map coverage against the product surface and say plainly where the gaps are. Prioritize by risk, not by what is easy to test. A thorough suite over the low-stakes surface and nothing over the high-stakes one is worse than no suite, because it looks like coverage. 3. Verifying Generated Output The most interesting half of this job, and the part with no established playbook. Check generated deliverables for internal consistency - numbers, cross-references, section completeness, and formatting. Resolve identifiers and references an agent produces back against the source of record. Flag unsupported claims, mismatched attributions, and citations whose content does not support the statement citing them. Citation integrity is the highest-stakes quality attribute this product has. Grade output against golden examples and feed the results back into the eval suite. Design test approaches that work when the output is nondeterministic - where "did it produce the expected string" is the wrong question. 4. Defect Reporting and Triage A bug report is a deliverable. Write it so someone can act on it without asking you a follow-up question. Isolate a minimal, reliable reproduction - not "it sometimes breaks." Report with repro steps, expected versus actual, environment, and a severity you can defend. Trace a defect back to the requirement or workflow it breaks. Distinguish a code bug from a model-quality issue. They go to different people and get fixed differently, and misrouting one wastes everybody's week. Follow each one through to verification of the fix. 5. Release Verification and Quality Signal Someone has to be able to say whether a release is safe, and be right. Run release verification and give a clear, evidence-backed read on whether a build is ready. Track quality signal over time - defect trends, escape rate, and where in the product problems keep originating. Report quality status to engineering in writing, including the parts nobody wants to hear. Raise the alarm early when a release is trending badly. A late warning is barely better than none. 6. Test Automation Move the checks you run by hand into checks that run themselves - where the payback is real. Extend backend coverage in pytest and frontend coverage in Vitest and React Testing Library. Write browser-level end-to-end checks for the highest-traffic workflows. Keep suites wired into GitHub Actions so failures surface on the pull request rather than after merge. Automate judiciously. A brittle suite nobody trusts costs more than the manual pass it replaced. Our Stack Backend: Python 3.12, FastAPI, SQLAlchemy 2.0, Pydantic v2, Postgres / SQLite, pytest Frontend: React 19, TypeScript (strict), Vite, TanStack Router + Query, Tailwind, shadcn/ui, Vitest + RTL AI: Frontier LLM APIs (Claude), MCP tool servers, RAG, eval harnesses and golden-output graders Infra: AWS (ECS/EC2, ECR, SQS, S3), Docker, GitHub Actions You are not expected to know all of it. Most of your testing runs against the application rather than the codebase - but this is what you will be reading when you chase a bug to its source, and what you will be writing when you extend the automated suites. What We're Looking For Required Roughly 2-5 years in a QA, software quality, or test engineering role, testing a real product with real users. Degree in Computer Science, Computer Engineering, or a related field - or equivalent practical experience. Comfortable reading and writing code in at least one language. Python or TypeScript put you closest to our stack, but Java, C++, or anything else is fine. Attention to detail that catches the value which is subtly wrong, not just the page that will not load. Clear technical writing. We will read your bug reports more than your code. Able to read a primary source - a spec, a standard, an API contract - and check an implementation against exactly what it says. Methodical under ambiguity. You narrow a vague complaint into a minimal reproduction instead of escalating it as-is. Hands-on experience with at least one testing framework - pytest, Vitest, Playwright, Selenium, or similar. Comfort with Git and pull-request workflows. Willing to hold a release. This role sometimes has to say a build is not ready while people are waiting on it. Saying so is the job. Able to work on-site in Las Vegas full-time, and authorized to work in the United States. Nice to Have Experience testing AI or LLM-generated output, or building and running eval harnesses. Exposure to regulated industries - medical device, pharmaceutical, clinical research - or to 21 CFR Part 11, GxP, or computer system validation. API testing and SQL fluent enough to verify data directly rather than only through the interface. CI/CD experience, particularly GitHub Actions. Accessibility testing, or performance and load testing. Experience establishing a test process somewhere that did not have one. Startup experience, including comfort operating before the process exists. How We Build Nothing ships on one good-looking example. Every prompt, retrieval, or tool change is judged against a regression suite and a set of graded outputs before it reaches a customer. We iterate on numbers. Fast loop to production. You will be testing against staging in your first week, and the bugs you file get fixed quickly enough that you verify them yourself. You own a test surface end to end. From exploratory passes and the cases you write, through the automation and the defect trail, to confirming the fix in production. No one hands you a script to execute and takes the thinking back. Small team, direct collaboration. You work alongside the founding engineering team, with code review on every pull request you open. We build on the frontier. We track new model releases, context and caching capabilities, and agent tooling as they land, and rebuild around them when they are better. What you learn here is current. What Success Looks Like in This Role Defects are found in staging, not by customers - and the escape rate is trending down. Fabricated, mismatched, or unsupported citations are caught internally before a customer ever sees one. A green regression run actually means something, because the suite covers what matters and is not flaky. Bug reports are acted on without a follow-up question click apply for full job details

Job Description Job Description Principal Analog/Mixed Signal Engineer Company: Confidential - venture-backed technology company Location: Boston, MA (hybrid, 3 days in office) Compensation: $200,000 - $325,000 + competitive equity Employment Type: Full-time Visa Sponsorship: Visa transfers and new sponsorship (H-1B, TN) About the Company The client is building thermodynamic computing, a new compute paradigm that uses thermal noise in CMOS devices to perform probabilistic computation with radical power efficiency (potentially 10,000x savings over traditional approaches). Its founders, former Google Quantum Computing researchers, spent years fighting thermal noise before realizing they could harness it. Founded in 2022, the client has about 30 people, has taped out its third chip (Z1) and is defining the architecture for three more. It has raised a $14.1M seed. The Role The client is hiring a Principal Analog/Mixed Signal Engineer (6+ years) to lead the design of next-generation thermodynamic computing chips. This is a ground-floor chance to own major pieces of chip design, and potentially serve as design lead for one of three planned chips, at a company positioned to reshape AI acceleration and edge computing. What You Will Do Lead design of analog and mixed-signal blocks: ADCs, PLLs, bandgaps, regulators, high-speed SerDes, oscillators and dividers. Own large parts of chip architecture, potentially as design lead for an upcoming chip. Do hands-on layout and design verification (DRC, ERC, LVS). Work across IC, systems, physics and algorithms teams to turn probabilistic computing concepts into silicon. Test and validate fabricated chips in the lab with signal generators, spectrum analyzers and oscilloscopes. What You Bring 6+ years of analog/mixed-signal IC design Block design experience (ADCs, PLLs, SerDes, bandgaps, regulators) Hands-on layout and verification (DRC, ERC, LVS) in Cadence CMOS and FinFET process experience Lab bring-up and validation skills Ability to work hybrid 3 days a week in Boston Tech Stack CMOS, Cadence, FinFET, PLL, ADC, SerDes, Python, C Before you apply: get a free recruiter-readiness score for your resume at CareerStanding - about a minute, no signup, and your resume stays in your browser.

Job Description Job Description SQA Lead (Point-of-Sale & Hospitality Tech) Location: Louisville, KY (Hybrid) Sector: Global Hospitality & QSR Technology The Opportunity Pointwest is currently seeking a high-caliber Software Quality Assurance (SQA) Lead to join a strategic initiative for one of the world's largest and most recognized quick-service restaurant (QSR) brands. This is not a standard "click-and-test" role. You will be a key player in a massive digital transformation, leading the quality validation for a multi-year global rollout of the PAR Brink POS ecosystem. Based in Louisville, Kentucky, you will work at the intersection of high-volume e-commerce and physical store operations, ensuring that technology enhances the experience for millions of customers and thousands of team members. Core Responsibilities POS Transformation Leadership: Drive the testing strategy for the integration and deployment of PAR Brink POS and associated back-of-office systems. Omni-channel Validation: Ensure seamless synchronization between mobile/web ordering platforms, third-party delivery aggregators, and in-store kitchen display systems (KDS). Hardware Lab Oversight: Manage "Model Store" testing environments, validating physical hardware configurations (terminals, printers, payment devices) alongside software builds. Automation & Efficiency: Transition manual testing processes into robust automated frameworks to support a continuous deployment (CI/CD) environment. Defect Governance: Lead triage meetings with developers and business stakeholders to prioritize fixes based on operational impact and "dinner rush" stability. Strategic Reporting: Provide Pointwest and client leadership with clear, data-driven insights into release readiness and system health. Technical Requirements Experience: 7+ years in Software QA, with at least 3 years in a Lead role. PAR Expertise: Direct, hands-on experience with PAR (Brink or PixelPoint) systems is a mandatory requirement for this role. Industry Knowledge: Strong background in the Restaurant/Hospitality sector, specifically understanding kitchen workflows and transaction processing. Testing Stack: Proficiency in SQL for backend data verification. Experience with API Testing (Postman, SoapUI) and cloud-based environments (GCP preferred). Familiarity with automation tools such as Selenium, Appium, or Cypress. Education: Bachelor's degree in Computer Science, IT, or equivalent professional experience. Professional Attributes Operational Mindset: You understand that in the pizza/QSR world, system uptime is critical to store profitability. Leadership: Proven ability to manage a team of testers, often across multiple time zones or in hybrid environments. Communication: Ability to translate technical bugs into "business impact" for non-technical stakeholders. Why Pointwest? At Pointwest, we act as a bridge between top-tier talent and industry-leading enterprises. By joining this project, you will: Work on a high-visibility project that is a cornerstone of our client's global strategy. Engage with a collaborative team that values innovation and "Shift Left" testing methodologies. Enjoy a competitive compensation structure with the stability of a long-term engagement. Are you ready to lead the future of hospitality tech? Apply today with your updated resume and a summary of your experience with PAR POS systems. Powered by JazzHR 9wdsV9rDpN

Job Description Job Description This is NOT a remote position Job Description Eccalon is seeking a Senior SDET / QA Automation Engineer to build and own the automated testing strategy across our web applications and backend services supporting DoD, Intelligence, and enterprise programs. You will design and maintain robust test frameworks, integrate quality gates into CI/CD pipelines, and ensure the reliability of systems operating in regulated, compliance-driven environments. This is a hands-on senior role with broad visibility across the full engineering stack-working directly with software engineers, DevOps, and product teams to shift quality left and keep mission-critical software shipping with confidence. Responsibilities Test Automation & Framework Development Design, build, and maintain end-to-end UI automation frameworks using Playwright and/or Cypress across multiple web applications (e.g., lynxconnect.io, ). Develop and maintain API and backend test suites using Postman collections and REST Assured; validate authentication flows, data integrity, and service contracts. Write clean, maintainable test code in Python and/or JavaScript/TypeScript ; enforce consistent standards through code reviews and shared libraries. Build reusable test utilities, fixtures, and data factories that reduce test setup overhead and improve suite reliability. CI/CD Integration & Quality Gates Integrate automated test suites into CI/CD pipelines (GitLab CI/CD) to enforce quality gates on every pull request and deployment. Configure and maintain synthetic monitoring scripts (e.g., Playwright-based uptime checks) for production applications; triage and resolve false positives. Define and track test coverage metrics, pass rates, and flakiness trends; report quality signals to engineering leadership. API & Backend Testing Validate REST APIs against specifications; test authentication and authorization flows including OAuth2, SAML, OIDC, and JIT provisioning patterns. Develop data-driven test scenarios against AWS-hosted services (RDS/PostgreSQL, DynamoDB, Cognito) and Azure-backed platforms (GCC High). Collaborate with backend engineers to identify testability gaps in service design and recommend interface contracts that support automation. Cross-functional Collaboration & Quality Strategy Partner with DevOps, software engineering, and IT teams to embed testing earlier in the development lifecycle; contribute to definition-of-done criteria. Serve as the quality subject matter expert on the team-mentoring engineers on test best practices, automation patterns, and tooling selection. Maintain test documentation, test plans, and traceability matrices that satisfy compliance audit and ATO evidence requirements. Evaluate and recommend improvements to the overall QA toolchain and processes as applications and team scale. Required Qualifications Bachelor's degree in Computer Science, Engineering, or related field-or equivalent practical experience. 5+ years of experience in software development engineering in test (SDET), QA automation, or a related discipline. Hands-on proficiency with Playwright and/or Cypress for end-to-end UI test automation. Strong API testing skills using Postman (including collections, environments, and Newman for CI execution) and/or REST Assured. Solid programming skills in JavaScript/TypeScript and/or Python; ability to write production-quality test code, not just record-and-replay scripts. Experience integrating test automation into CI/CD pipelines (GitLab CI/CD, or Jenkins). Familiarity with AWS services (Cognito, RDS, DynamoDB, CloudWatch) and how they factor into end-to-end test design. Experience testing authentication and authorization flows (OAuth2, SAML, OIDC, MFA). Strong understanding of HTTP, REST, JSON, and web application architecture. Ability to work independently, prioritize across multiple projects, and communicate quality risk clearly to technical and non-technical stakeholders. Preferred Qualifications Experience with synthetic monitoring and uptime automation (e.g., Playwright-based health checks, Pingdom scripting). Familiarity with NIST 800-171, CMMC, or FedRAMP testing and traceability requirements. Experience testing applications hosted on Azure GCC High or AWS GovCloud environments. Background in performance or load testing (k6, JMeter, or Locust). Experience with accessibility testing (WCAG 2.1, 508 compliance) and security-focused test cases (OWASP Top 10 validation). ISTQB certification or equivalent QA/testing credential.

Job Description Job Description Hello, "Join GD Resources for dynamic opportunities in business management and IT, where innovation meets excellence." About the Company: GD Resources is a Veteran Women-Owned Business Management and Information Technology company committed to excellence. GD Resources provides dynamic opportunities for veterans and professionals alike to contribute to innovative projects and drive success in a collaborative and supportive environment. Join us to make a difference, advance your career, and grow with a company that values integrity, diversity, and continuous improvement. Experience8-12 YearsClientNew York City - DoITTDuration6 MonthsPrimary SkillsIOS, Android, JIRA, azure, Product Manager, Trello, DevOpLocation Brooklyn, NY, 11201 Job Start Date2026-05-04Remote JobNoRequired Hours/Week35Job TypeContract Public Job TitleMid Level - Mobile App Developer (iOS & Android)Public Job DescriptionNYC Office of Technology and Innovation Job Title: Mid Level - Mobile App Developer (iOS & Android) Duration: 6+ Months with possible extension Location: 15 Metrotech Center, Brooklyn, NY 11201 Position Type: Contract Interview Type: Webcam/In-person Note: Normal Business Hours, Monday through Friday (not including a mandatory unpaid meal break after 6 hours of work), 35 work hours per week. If the consultant works more than 35 hours per week, the consultant must request overtime in the Agency's timekeeping system, and the project manager must approve those hours worked above the weekly maximum. SCOPE OF SERVICES: The developer will be responsible for overseeing the end-to-end technical execution of the new features in the NYC Secure App on iOS and Android and development of other digital resources as needed. The developer will deliver a scalable, privacy-centric systems that integrates with existing NYC data services, workflows, and web platforms. Job Description: The NYC Office of Technology and Innovation has been tasked with re-designing the NYC Secure App and an associated campaign to provide New Yorkers with a comprehensive set of tools and resources to prevent scam phone calls and text messages, educate vulnerable New Yorkers on prevention, and support New Yorkers with the resources they need when they have been victimized. Each year New Yorkers lose an estimated $6.5B to online and phone based scams, yet the city provides no systematic approach to protecting residents - this project will develop the technology and strategy to address that gap across OTI's programs including Cybersecurity, 311, and Digital Equity. TASKS: Develop quality code that is well-documented, testable, and production-ready Be proactive and seek feedback to ensure best practice solutions that meet business needs Building web solutions that are scalable and secure and align with overall city digital architecture Write and conduct unit testing as agreed with the City Engineering leads. Communicate technical decisions, needs, and priorities to engineers, product managers, and designers as part of a user-centered agile product delivery team Design the core logic with the existing vendor for the mobile application on iOS and Android to provide scam and spam protection for calls and texts. Build a responsive, accessible frontends resource sites that ensures a consistent experience across all browser types and mobile devices and leverages the NYC Design System. Apply rigorous industry-standard privacy and security standards and protocols to ensure that all user data remains private and secure. Develop the technical bridges necessary to route digital reporting data into existing intake and reporting systems. If necessary, learn new programming languages or frameworks, with help from City Engineering leads, to complete software development and testing tasks. Attend, participate, and assist in architecture, approach, and technical strategies as appropriate and requested by City Engineering leads. Mandatory Skills: At least 4 years of experience as a software engineer or application developer Experience building responsive websites with full-stack expertise Experience collaborating with product designers on cross-functional teams to ensure the best user experience. Experience working with Git based workflows Experience working in story-based workflows (e.g., Azure DevOps, JIRA, Trello, or other story or kanban-style workflow) Experience leading technical design and writing implementation planning documents Strong verbal and written communication skills Regards, Srikanth (Sri) Senior Recruiter Phone: Email: Powered by JazzHR I8bEmzW0Mq

Job Description Job Description Please do not apply if you are not a U.S. Citizen and/or if you don't have DHS Suitability or Capable of passing DHS suitability screening or DHS financial responsibility standards Location: Frequent on-site meetings at the TSA Headquarters in Springfield, VA & the TSA System Integration Facility (TSIF) at Reagan National Airport (DCA), Arlington, VA Clearance Level: DHS Security Clearance or eligibility (Capable of passing DHS suitability screening or DHS financial responsibility standards) Workplace Type: Remote/Telework U.S. Citizenship Required Job Description Overview ADS is seeking a STIP Senior Level Software Tester position responsible for executing test cases, identifying defects, documenting issues, and helping ensure software applications meet quality standards. The candidate will work closely with software developers, senior systems engineers, and senior architects. This position requires proficiency in design and execution of detailed test plans and test cases. Candidates will lead functional testing, regression testing, integration testing, system testing, User Acceptance Testing (UAT), API testing, performance testing, validate software against business and technical requirements, identify, document, prioritize, and track defects. The ideal candidate demonstrates strong problem-solving skills, writes clean and maintainable code, and leads systems testing/quality assurance/verification & validation discussions and improvements. Experience with automated testing solutions is a plus. Responsibilities Test software applications in programming languages such as Java, C#, C++, ASP.Net, Python, JavaScript. Participate in all phases of the software development lifecycle, including planning, design, development, testing, deployment, and maintenance. Collaborate with product owners, designers, and Quality Assurance teams to deliver high-quality, user-focused solutions. Debug, test and resolve software defects and performance bottlenecks. Write and maintain technical documentation including code comments, manuals, and API references. Familiar with Agile Software Development such as SAFe and other Agile Tools such as Github, JIRA Follow best practices in version control (e.g., Git), agile development, and CI/CD pipelines. Ensure software complies with security, accessibility, and quality standards (e.g., OWASP, Section 508, NIST). Contribute to architectural decisions and recommend improvements for existing applications and systems. Stay updated on emerging technologies and industry trends relevant to the team's tech stack. Provide support and mentoring to junior developers and database administrators. Qualifications - Required Bachelor's degree in computer science, Software Engineering, or related fields. 15+ years of hands-on experience in software testing. Java/Spring MVC and Spring Boot experience are highly preferred. Single Sign On (SSO) / session management / complex permissions environments. Deep understanding of object-oriented programming, data structures, and algorithms. Scala/Http4s experience desired. Data engineering skills are also desirable. Specifically, "ETL" (extract, transform, load) experience. Proficiency in one or more backend languages (e.g., Java, .Net, Node.js) and frontend frameworks (e.g., React, Angular, Vue.js). Experience with relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB). Familiarity with RESTful APIs, microservices architecture, and containerization (e.g., Docker, Kubernetes). Strong understanding of software development best practices and design patterns. Experience with automated testing solutions (e.g., Postman). Experience using Agile methodologies (e.g., Scrum, Kanban). Qualifications - Desired Exposure to cloud platforms such as AWS, Azure, or Google Cloud Platform. Experience working in DevOps environments with tools like Jenkins, Gitlab CI/CD, or GitHub Actions. Familiarity with automated testing frameworks (e.g., Junit, PyTest, Jest). DHS Security Clearance or eligibility. Relevant certifications (e.g., AWS Developer Associate, Mircosoft Certified Developer). Experience in DevSecOps or Infrastructure as Code (IaC) environments. Powered by JazzHR epXUa3kmkA

Job Description Job Description Savan Group is seeking a Quality Assurance Tester / Front-End Developer to support the HUB application, an enterprise application used to manage and report on EPMO processes and workflows. This is a QA-first hybrid role with primary emphasis on functional quality, regression coverage, role-based workflow validation, usability, and release confidence. The selected candidate will work closely with developers, program leadership, testers, and business users to validate requirements, identify defects before release, improve user-facing behavior, and contribute small-to-medium front-end changes when needed. Key Responsibilities Plan and execute manual functional, regression, smoke, and exploratory testing across new features, bug fixes, and releases. Validate workflows from the perspective of different user roles, including role-based permissions, edit rights, visibility, approvals, and other authorization-dependent behavior. Write clear, reusable test cases with expected results, test data, prerequisites, and evidence sufficient for repeatable regression testing. Reproduce defects consistently and document concise reproduction steps, expected versus actual behavior, screenshots or other evidence, severity, and impacted roles/workflows. Review requirements and acceptance criteria before development is complete to identify ambiguity, missing edge cases, usability risks, and testability gaps. Implement targeted front-end fixes and enhancements using React, TypeScript, Material UI (MUI), and React Query / TanStack Query, including component behavior, forms, tables, filtering, validation, data fetching/caching, state synchronization, and responsive layout. Evaluate usability and accessibility of user-facing changes, including keyboard behavior, labels, focus, readable states, error messaging, and Section 508/WCAG considerations. Use browser developer tools, API responses, logs, and basic SQL queries to isolate whether issues originate in the UI, API, data, permissions, or environment. Maintain disciplined Azure DevOps work-item updates and test evidence so defects, retests, release readiness, and production verification are traceable. Support release validation in Test and production, including post-deployment verification of critical workflows and role-sensitive functionality. Partner with developers and stakeholders to challenge confusing behavior and propose practical user-experience improvements that reduce errors and support effort. Contribute to regression-suite maintenance and continuously identify high-risk workflows that should be added to recurring release testing. Required Qualifications and Capabilities Professional experience building, testing, or supporting modern web applications in a production environment. Demonstrated manual functional and regression testing experience, including the ability to translate requirements and acceptance criteria into repeatable test cases. Hands-on React and TypeScript experience, or comparable front-end framework experience with the ability to become productive in React/TypeScript quickly; familiarity with component libraries and client-side data-fetching patterns used in modern React applications. Ability to document high-quality defect reproduction steps and communicate technical issues clearly to developers and non-technical stakeholders. Working knowledge of browser developer tools and basic API concepts for troubleshooting web-application behavior. Basic SQL literacy sufficient to validate data, investigate discrepancies, and collaborate effectively with backend/database developers. Experience validating role-based permissions, user workflows, field behavior, error conditions, and edge cases. Awareness of accessibility and Section 508/WCAG principles for user-facing web applications. Experience working with Azure DevOps, Jira, or a comparable work-management platform to maintain defects, acceptance evidence, and release traceability. Strong attention to detail, analytical problem-solving, communication, accountability, adaptability, and ability to work collaboratively in an iterative delivery environment. Preferred Qualifications Experience with Material UI (MUI), MUI Data Grid or similar component libraries, and table-heavy business applications or complex enterprise forms and workflows. Experience with React Query / TanStack Query or comparable client-side server-state/data-fetching libraries, including query invalidation, caching, loading/error states, and API-driven UI behavior. Experience validating front ends that integrate with REST APIs and .NET or comparable backend services. Experience working in a React 18 / TypeScript environment using MUI, MUI Data Grid, and TanStack Query / React Query is strongly preferred. Experience with SQL Server or similar relational databases. Exposure to automated UI or API testing tools such as Playwright, Cypress, Selenium, Postman, or comparable tools. Automation is helpful but is not the primary requirement for this role. Experience supporting federal government applications, Section 508 testing, or environments with formal release and evidence requirements. Experience participating in Agile sprint delivery, defect triage, release readiness reviews, and production verification. Work Location and Schedule: Hybrid Schedule (Washington, DC), remote option availability. Application Process Submit your application to the link on this page. Applicants selected for interviews will be notified by email or phone. Compensation The anticipated salary range for this position is $95K-$115K. This range represents Savan Group's good faith estimate at the time of posting and is not a guarantee of compensation. Final compensation will be determined based on factors including relevant experience, skills, education, certifications, internal equity, market conditions, and geographic location. For positions supporting federal contracts, compensation may also be subject to applicable labor category requirements, contract terms, funding, and other contract-specific provisions. As a result, actual compensation may vary from the posted salary range. EEO, including disability and veterans. Savan is an Equal Opportunity Employer and is committed to a workplace free of discrimination. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), gender identity, sexual orientation, national origin, age (40 or older), marital status, disability, genetic information, status as a protected veteran, or any other applicable legally protected characteristics. If you are an individual with a disability and would like to request reasonable accommodation for the employment process, please email your request to . For more information about our company, please visit our website at . Powered by JazzHR 2lCDpR6Fkk

Job Description Job Description ABOUT ROCKET LAB Rocket Lab is the end-to-end space company building rockets, spacecraft, and critical subsystems that keep the world connected, protected, expand humanity's reach to the Moon, Mars, and beyond. We move fast, build real hardware for meaningful missions, and make the impossible routine. Come shape the future with us. SPACE SYSTEMS At Rocket Lab, we're not just launching rockets - we're building the future of space. Our Space Systems team builds everything from complete spacecraft, precision payloads to the components and subsystems that allow them to thrive in space, like solar panels, flight software, star trackers, optical systems, separation systems, radios, and more. Our Space Systems team has enabled more than 1,700 missions, ranging from interplanetary exploration, in-space manufacturing to national security and defense initiatives. The team has built spacecraft, payloads, and components for missions to the Moon and Mars, working with partners including NASA, the Space Development Agency, and the U.S. Space Force. Whether it's a single high-performance spacecraft, constellation, or the vertically integrated components that help them get to space - our world class Space Systems team is empowering some of the boldest and most ambitious space missions PRINCIPAL SPACECRAFT OPERATIONS ENGINEER I- SECRET CLEARANCE Based on site at Rocket Lab's headquarters in Long Beach, CA the PrincipalSpacecraft Operations Engineer is responsible for ensuring the health, safety, and optimal performance of a growing fleet of satellites while meeting mission objectives and SLAs for both commercial and government customers. This includes supporting diverse missions such as LEO constellations, interplanetary exploration, LEO rendezvous, and SDA-related deployments. Your expertise would be critical during commissioning, orbit raising, routine operations, and potentially re-entry phases, ensuring the health and safety of Rocket Lab's expanding fleet. The Spacecraft Operations team works closely with related teams, such as spacecraft design, AIT, flight software, propulsion, GNC, flight dynamics and ground software development to help improve both the ground and satellite-based capabilities over time. The space operations experience at Rocket Lab is unique because you will cover a multitude of roles/positions and responsibilities, with the large majority of the technical products being supplied through the vertical integration/in-house. WHAT YOU'LL GET TO DO: Serve as the program's mission operations technical lead: set the technical direction and strategy for operations, plan and prioritize the work of the mission operations staff, and act as the primary operations point of contact for program-level design decisions and trades Advocate for operability across the program: influence spacecraft and ground architecture upstream so vehicles are designed to be operated safely, efficiently, and autonomously, and push for changes to program design and execution when operational needs demand it Own mission operations requirements and lead requirements validation and verification for spacecraft missions and system-level capability and function Define the automation strategy and lead the development of robust, software-driven methods for mission operations, testing, and data analysis to ensure efficient, repeatable, and reliable spacecraft operation Design, develop, and test flight software sequences and FDIR/telemetry configurations to ensure spacecraft health and fault management through software-driven processes Architect, develop, and test ground software for long-duration operations, including scripting and automation frameworks that make operations robust, hands-off, and scalable across a growing fleet Establish and steward the integration, testing, and maintenance of mission operations tooling and codebases, including CI, version control, and release discipline. Ensure the on-call or shift schedules of operations Author and own interface specifications, CONOPS, contingency procedures, and other operational design documents Lead validation of flight products and procedures against spacecraft simulation tools, including flatsat, HITL, SIL, and digital twins Support AIT teams across multiple spacecraft integrated tests (TVAC, propulsion stack, DITL Provide program and product support to team leads and program managers, and serve as a key technical interface between the NZ and USA engineering teams Represent mission operations in program milestone reviews, design reviews, and readiness gates, and drive continuous improvement through post-mission lessons learned YOU'LL BRING THESE QUALIFICATIONS AS A PRINCIPALSPACECRAFT OPERATIONS ENGINEER: Bachelor's degree in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) 12+ years of direct experience in any of the following: space mission design, satellite subsystems, ground systems, spacecraft command control, or spacecraft operations 5+ years of experience leading teams of engineers through spacecraft missions or related aerospace projects Previous experience in roles such as Mission Lead, Mission Director, Flight Director, or Senior Spacecraft Operations Engineer Previous experience supporting mission operations activities in an on-console or operator-in-the-loop capacity Thorough understanding of key spacecraft subsystems and associated components, including attitude determination and control systems (ADCS), electrical power systems (EPS), space-to-ground communications, command and data handling (C&DH), thermal control systems (TCS), spacecraft propulsion systems, and fault detection, isolation, and recovery (FDIR) Understanding of the space environment, orbital mechanics, and rigid body dynamics 5+ years of direct software development experience (Python/Ruby/C/C++/other high-level languages), covering items such as spacecraft onboard flight scripts, ground scripting and automation, and data manipulation and analysis US citizenship is required due to program requirements THESE QUALIFICATIONS WOULD BE NICE TO HAVE: Master's or PhD engineering in engineering (software, computer, electrical, aerospace, mechanical, or other technical engineering discipline) Prior experience in spacecraft operations Prior experience in satellite system design Prior experience in satellite ground systems Exposure to modern development practices - GIT, CI/CD, cloud infrastructure Proficiency with Agile issue-tracking tools, specifically Jira, for mission task management, status tracking, and bug reporting Software-in-the-Loop (SIL) Testing: Exposure to testing frameworks that simulate software behavior in operational environments. Hardware-in-the-Loop (HIL) Testing: Familiarity with testing frameworks that integrate software and hardware systems. Active Secret or TS/SCI U.S. Government Security Clearance This position may require prolonged periods of sitting, standing, walking, computer work, and occasional exposure to moderate levels of noise, dust, and fumes in production areas Anticipated annual equity grant value is designed around function, level, experience, and other factors; realized value depends on vesting and stock-price performance. Join one of the world's fastest-growing space companies and own a piece of it. In addition to competitive base pay, you'll receive company stock as part of your total compensation package, giving you a direct stake in our success. As we expand to new launch sites, groundbreaking missions, and global markets, your ownership has the opportunity to grow alongside the company. Our comprehensive benefits package includes our industry-leading Employee Stock Purchase Program (with a 15% discount on company stock), top-tier medical plans (HMO, PPO, and a zero cost HDHP option with a significant HSA company contribution), dental and vision coverage, paid vacation and sick time, 11 paid holidays, flexible spending and dependent care accounts, paid parental leave, disability and life insurance, and a 401(k) retirement plan with company match. Additional perks include subsidized EV charging, onsite fitness centers (where available), discounted gym memberships, complimentary snacks and beverages, 50% employee discount on our popular merch store, and a variety of other employee discounts. Level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Total Compensation (base and equity) $280,725-$339,400 USD Base Salary $173,300-$259,850 USD WHAT TO EXPECT We're on a mission to unlock the potential of space to improve life on Earth, but that's not an easy task. It takes hard work, determination, relentless innovation, teamwork, grit, and an unwavering commitment to achieving what others often deem impossible. Our people out-think, out-work, and out-pace. We pride ourselves on having each other's backs, checking our egos at the door, and rolling up our sleeves on all tasks big and small. We thrive under pressure, work to tight deadlines, and our focus is always on how we can deliver, rather than dwelling on the challenges that stand in the way. Important information: FOR CANDIDATES SEEKING TO WORK IN US OFFICES ONLY: . click apply for full job details

AI Engineer 4 (AI Foundations) Overview: 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. What You'll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer 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 4 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 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, 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, CUDA, 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 Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms 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. McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 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).

Staff AI Engineer (Remote Eligible) 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. What You'll Do: 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, agents and multi-agent workflows, 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, PyTorch, and more. Invent and introduce state-of-the-art foundation model 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. Set the technical direction for enterprise-wide AI architecture - unifying tooling, observability, and deployment standards across teams Own the design and integration of model routing, caching, and orchestration systems that support hybrid and multi-model workloads Champion responsible AI principles across all system design, embedding transparency, reproducibility, and fairness-by-design Drive internal education, mentorship, and dissemination of best practices through architecture councils and AI guilds 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 enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 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 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience designing AI systems with tradeoff decisions around cost, latency, throughput and accuracy 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, 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 Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven track record of defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability and evaluation frameworks Experience leading federated or multi-cloud AI strategies to maximize resilience, compliance and compute efficiency Demonstrated success influencing research-to-production promotion processes - guiding model handoff, evaluation and productization Experience defining north-star metrics for AI systems that balance business value, innovation velocity, cost, and ethical responsibility Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) 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. Remote (Regardless of Location): $244,700 - $279,200 for Staff AI Engineer Cambridge, MA: $269,100 - $307,200 for Staff AI Engineer McLean, VA: $269,100 - $307,200 for Staff AI Engineer New York, NY: $293,600 - $335,100 for Staff AI Engineer San Francisco, CA: $293,600 - $335,100 for Staff AI Engineer San Jose, CA: $293,600 - $335,100 for Staff 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. . click apply for full job details

Job Description Senior / Staff Software Engineer - AI Products A fantastic opportunity for a Senior or Staff Software Engineer to join an innovative AI software company building products that help businesses understand their customers and make better decisions. You will own substantial features across an AI-powered research platform, combining intuitive user experiences with reliable backend systems. This role requires early-stage startup experience, strong full-stack React and TypeScript skills, and a Computer Science degree from a top-30 university. Location: New York, NY. In-office, five days per week. Relocation support available. Salary: $200,000 - $300,000 annual base salary + equity Requirements for Senior / Staff Software Engineer: Typically 4+ years of professional experience in full-stack or product engineering, although exceptional candidates with some commercial experience and clear evidence of outstanding achievement will also be considered. Experience working at an early-stage startup, from Seed through Series D, ideally within a fast-growing business with high engineering standards Bachelor's degree in Computer Science from a highly ranked leading University, with a history of excellent academic achievements Strong hands-on React and TypeScript experience, with substantial engineering capability across both frontend and backend Personal ownership of a major product, feature or platform from initial concept through to production, with measurable outcomes Strong product judgment and a natural interest in building great user experiences Evidence of standout achievement, such as rapid promotions, coding competition success, technical awards, or founder/founding engineer experience Ability to take ownership and deliver within a fast-paced environment with evolving requirements Strong independent coding and debugging skills; AI coding tools are not permitted during technical assessments Strong communication skills and the ability to collaborate with product and design teams Able to work from the New York office five days per week B2B product experience and familiarity with Python, Go or LLM-powered applications are beneficial Responsibilities for Senior / Staff Software Engineer: Own major product features from initial requirements through to production release Build conversational interfaces and tools that help users explore analysis and insights Develop participant recruitment and self-service research functionality Create intuitive user experiences in collaboration with product and design teams Develop backend services, APIs and distributed systems supporting the platform Connect LLM pipelines with reliable application services and interfaces Contribute to shared design systems and consistent product experiences Improve platform performance, reliability and usability What this role offers: The opportunity to build AI-powered products that turn customer feedback into actionable business insights End-to-end ownership of substantial features within a highly skilled engineering, product and design team A competitive base salary and equity opportunity, with challenging work across full-stack development and AI functionality Applications: If you would like to apply for this unique Software Engineering role, please submit your resume through the relevant application link! We're committed to creating an inclusive and accessible hiring process. If you require reasonable accommodations for your application or during the review process, please let us know by separately emailing (if this email address has been removed by the job board, full contact details are available on our website). RedTech Recruitment Ltd focuses on finding roles for Engineers and Scientists. Even if the above role isn't of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status or disability status.

Job Description Job Description Why Flux Flux is taking the hard out of hardware. To do this, we're building the world's first AI hardware engineer. Founded in 2019, our platform enables anyone to go from idea to manufacturable board using nothing more than a natural language prompt. This democratizes a process that has historically required years of specialized expertise. We're going after a $15B+ electronic design automation market, backed by 8VC, Bain Capital Ventures, Liquid 2 Ventures, Outsiders Fund, Figma board member John Lilly, and GitHub founder Tom Preston-Werner. In February 2026, we closed a total of $37M in funding to accelerate that mission. What happens when we unlock the ability for anyone to make hardware? We fundamentally reshape the world. That's our mission, and we're just getting started. The Role We're looking for an experienced electrical engineering leader who will own the hardware design practices and guiding principles of our platform. You'll steer the evolution of our ECAD tool's core capabilities as well as the correctness of our AI Hardware Engineer's system knowledge and design approach. You'll actively partner with product leadership to shape and prioritize AI capability development, evaluation frameworks, and in developing scaled approaches to guide our community to successful PCB projects. In this role, you'll grow our existing Hardware Design function and team. This is a high impact, multidisciplinary role for someone who has experience building complex electronics that shipped at scale (e.g., smartphones, wearables, high performance compute, networking, robotics) and loves translating real world engineering constraints into powerful tools and AI behaviors. What you'll do Drive ECAD feature design & specs - Craft product requirements for core ECAD behaviors across placement/routing, constraints management, stackup, impedance control, DRC/DFM, manufacturing outputs, and prototyping workflows. Co-author specs, validate by running dogfooding initiatives, beta programs, and scaled user feedback. Be the design partner to AI/ML - Teach the world's first AI hardware engineer how to design successful products. Define best practices, guardrails, and evaluation harnesses; curate datasets; review AI generated designs; create the AI expertise that will help more people build successful hardware on their first production run, without releasing the magic smoke. Build out the Hardware Design function - Start as a hands on manager with two existing reports. Over time, refine the team's core responsibilities, and build a larger team that produces reference designs, demos, product specs, training, and field feedback loops. Develop real hardware - Lead quick turn-around prototypes (from schematic to bring up) that exercise product/AI capabilities. Instrument designs for SI/PI and power/thermal validation; close the loop with data. Amplify user insight - Adopt ownership and improve upon current user experience signals, feedback loops, and channeling user input into our iterative product design. Strategically invest in deeper customer relationships. Champion the user's voice in cross functional forums. Partner closely with our software engineering department in ensuring AI evaluations are reflective of real-world user requirements. Product - Be the "voice of the customer" within the organization, addressing vision, strategy, research & discovery, prioritization and cross-functional leadership. What you'll bring Deep EE breadth + depth with real products in the field. Comfortable spanning: RF & wireless: from sub GHz to mmWave; matching, filtering, antenna/feed layout. EMI/EMC & ESD: design for compliance, grounding/return paths, shielding, filtering. Power electronics: DC DC (buck/boost), PMICs, PoE, motor/actuator control, power sequencing, efficiency/thermal trade offs. Analog & mixed signal: sensor interfaces, data converters, low noise design. High speed digital: DDRx, PCIe/SerDes, USB C/USB4, MIPI, Ethernet (1G-25G+); timing, skew, and equalization considerations. SI/PI: signal/power integrity analysis, decoupling strategies, return path control. PCB/stackup expertise: material selection and stackup definition , controlled impedance , differential pair tuning & length matching , via strategies (blind/buried, microvia, backdrill), HDI (high density interconnect) , panelization, and build rules with fabs/EMS. DFM/DFT & manufacturing : hands on bring up and debug, test coverage, fixture definition; tight collaboration with CMs/ODMs. Tooling fluency: meaningful time in multiple ECADs (e.g., Altium, Cadence Allegro/OrCAD, Mentor Xpedition, KiCad, Zuken) and experience with simulation tools (SPICE, SI/PI such as ADS/HyperLynx/SIwave ; 3D EM such as HFSS), plus lab instrumentation (oscilloscope, VNA, logic analyzer, power analyzer). Product sense & communication: ability to turn messy user needs into simple workflows; excellent written specs, diagrams, and presentations; confident with senior leadership and deep dive technical reviews. Leadership at multiple altitudes: thrive as both a hands on engineer and a manager; co-develop core ECAD product strategy. Hire, mentor, and scale processes while staying close to the work. Preferred qualifications Experience in a larger technical org (e.g., hardware product management or lead EE for critical subsystems at a world class company) with a track record of shipping at scale. On the ground factory and test, mass production, and quality/yield optimization experience. Actively participating in builds and carrying key responsibilities to realize designs at scale. Prior design partner or customer facing role (product management, applications, FAEs, field engineering, or cross functional liaison) that turned feedback into product wins. Hands on across ECAD platforms ; passion for great engineering tools and workflows. Practical exposure to AI/ML (prompting/evaluation, data curation/labeling, or integrating ML assisted design tools). Benefits & package Competitive salary and meaningful equity, plus comprehensive benefits. Title/level will match experience and impact. How to apply Send a your resume, a quick cover letter, and any links to public designs or talks. Email: Subject: Head of Hardware Design - Your Name Flux is an equal opportunity employer. We are committed to providing equal employment opportunities to all qualified individuals and do not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. All employment decisions are based on qualifications, merit, and business need. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Compensation Range: $245K - $270K

Job Description Our client, which is a large Insurance Firm is urgently looking to hire a Lead Full Stack Python Developer Lead Full Stack Python Developer Long Term Contract with an option to Hire. Location - Chicago, IL (100 % Remote). Required Skills - Full Stack - Python / React JS or Angular , AWS, Terraform, CI/CD , SQL/Postgres SQL, .NET, AI - Claude PROFESSIONAL SUMMARY Designs, develops and tests complex applications and web service integrations and programs across interconnected companywide systems. Delivers scalable frontend, backend, and cloud solutions while ensuring data quality, system integrity, and comprehensive technical documentation. 1. Application Development: Designs and builds scalable applications across the front-end, back-end, cloud infrastructure, and DevOps while effectively leveraging AI-powered development tools to accelerate software delivery, improve code quality, and automate engineering workflows. Designs and develops scalable back-end services and APIs primarily in Python, while contributing to front-end interfaces as needed to deliver full-stack features end to end. Builds and maintains CI/CD pipelines and manages cloud infrastructure using tools like Terraform. Monitors production systems, troubleshoots incidents, and drives root-cause fixes. Designs, writes, validates, and modifies code and scripts efficiently to support the company internal and external systems in partnership with the Database Administrator and Technical Services. Partners with the Database Administrator to design SQL Server tables, maintain data integrity, and develop stored procedures, SSRS, and SSIS packages. Provides operational backup for routine data maintenance. Collaborates with product, QA, and other engineers to plan and deliver features, and reviews code to maintain quality and share knowledge with other developers. Improve deployment reliability, observability, and system performance, and contributes to architecture decisions and technical roadmap planning. Leads the process of conceptualizing and developing new programs, web applications, and webservice integrations including development and management of API's. Produce logical diagrams that outline current and future state. Leads LifePRO application support including evaluation, testing and deployment of periodic system releases and new functionality. Monitors for efficient resource use of programs, web applications, webservices, and other systems Utilizes AI-powered coding assistants (e.g., GitHub Copilot, Cursor AI, ChatGPT, Claude, Gemini) to accelerate software development. Data Quality: Develops and executes effective testing plans at the program and system level Monitors the operation of assigned programs and responds to problems by diagnosing and correcting errors in logic and coding Reviews production data and reports to ensure completion of scheduled jobs, data quality and integrity Documentation: Creates and maintains documentation related to assigned web applications, programs and other systems in accordance with departmental and team standards, including disaster recovery and data center instructions Creates and maintains design and architecture documentation Creates and maintains standards and best practices documents Produces special reports upon request

Job Description Our client, which is a large Insurance Firm is urgently looking to hire a Lead Full Stack Python Developer Lead Full Stack Python Developer Long Term Contract with an option to Hire. Location - Chicago, IL (100 % Remote). Required Skills - Full Stack - Python / React JS or Angular , AWS, Terraform, CI/CD , SQL/Postgres SQL, .NET, AI - Claude PROFESSIONAL SUMMARY Designs, develops and tests complex applications and web service integrations and programs across interconnected companywide systems. Delivers scalable frontend, backend, and cloud solutions while ensuring data quality, system integrity, and comprehensive technical documentation. 1. Application Development: Designs and builds scalable applications across the front-end, back-end, cloud infrastructure, and DevOps while effectively leveraging AI-powered development tools to accelerate software delivery, improve code quality, and automate engineering workflows. Designs and develops scalable back-end services and APIs primarily in Python, while contributing to front-end interfaces as needed to deliver full-stack features end to end. Builds and maintains CI/CD pipelines and manages cloud infrastructure using tools like Terraform. Monitors production systems, troubleshoots incidents, and drives root-cause fixes. Designs, writes, validates, and modifies code and scripts efficiently to support the company internal and external systems in partnership with the Database Administrator and Technical Services. Partners with the Database Administrator to design SQL Server tables, maintain data integrity, and develop stored procedures, SSRS, and SSIS packages. Provides operational backup for routine data maintenance. Collaborates with product, QA, and other engineers to plan and deliver features, and reviews code to maintain quality and share knowledge with other developers. Improve deployment reliability, observability, and system performance, and contributes to architecture decisions and technical roadmap planning. Leads the process of conceptualizing and developing new programs, web applications, and webservice integrations including development and management of API's. Produce logical diagrams that outline current and future state. Leads LifePRO application support including evaluation, testing and deployment of periodic system releases and new functionality. Monitors for efficient resource use of programs, web applications, webservices, and other systems Utilizes AI-powered coding assistants (e.g., GitHub Copilot, Cursor AI, ChatGPT, Claude, Gemini) to accelerate software development. Data Quality: Develops and executes effective testing plans at the program and system level Monitors the operation of assigned programs and responds to problems by diagnosing and correcting errors in logic and coding Reviews production data and reports to ensure completion of scheduled jobs, data quality and integrity Documentation: Creates and maintains documentation related to assigned web applications, programs and other systems in accordance with departmental and team standards, including disaster recovery and data center instructions Creates and maintains design and architecture documentation Creates and maintains standards and best practices documents Produces special reports upon request