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Hybrid Remote Opportunity - YCombinator Generative AI Startup Growing Fast! This Jobot Job is hosted by: Caitlyn Hardy Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $160,000 - $200,000 per year A bit about us: Venture-backed startup, located in the heart of Silicon Valley, is disrupting the tech sales industry with Generative AI. This company's Founder has a proven track record with startups, having a successful exit from the last startup he founded. The team is comprised of product, engineering, and research leaders from Google AI and Stanford AI and is growing! Currently, we are looking to hire a Full Stack Engineer to own a significant portion of the platform and help build two of our brand new products end-to-end. Why join us? Competitive salary 401k Excellent medical, dental, and vision package Upward mobility and opportunity to work on a product from early conception to release Flexible working hours Meaningful equity Hybrid remote opportunity (3 days onsite / 2 days work from home) Work in a fast-paced entrepreneurial environment + More! Job Details Key Responsibilities Partner with product, design, and engineering peers to architect and deliver a resilient, high-quality platform that users love. Develop clean, maintainable, and performant code across the stack. Ensure test coverage, documentation, and adherence to best practices. Debug complex issues, optimize performance, and ship improvements with speed and precision. Take end-to-end ownership of major platform components, including: Front End - Build modern interfaces using React/Next.js, JavaScript, TypeScript, and HTML5. Apply deep knowledge of CSS, responsive layouts, browser quirks, and scalable component libraries to create seamless user experiences. Back End - Leverage Python and the Django framework to develop robust APIs, automation tools, and integrations. Work with relational databases, craft optimized SQL queries, and design high-performance backend systems. What We're Looking For 6-8 years of hands-on experience in front-end or full-stack engineering, ideally within the B2B SaaS or enterprise domain. A self-starter who embraces ownership, thrives in fast-moving and ambiguous environments, and loves turning complex problems into elegant solutions. Strong analytical mindset with excellent debugging, communication, and collaboration skills. Proven ability to deliver quickly while maintaining exceptional quality. Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. Bonus skills: familiarity with Tailwind CSS, Docker, AWS services, and OpenAI APIs. Preference for candidates based in the San Francisco Bay Area or open to relocating within a reasonable timeframe. Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

Who We Are: Join the Defense and Intelligence Solutions as a Research Computer Scientist. Applicants interested in this position must hold a current / active TS/SCI with a Full Scope Polygraph. You will be challenged in developing complex and innovative software solutions across a variety of customers and platform types. Enjoy a flexible work schedule, excellent benefits, and working alongside great teammates. Objectives of this Role: Highly motivated, curious, detailed oriented, and passionate critical thinker to add to a dynamic team of Software Architects, Computer Scientists and Engineers. Contribute to and lead a team through all aspects of the Software Life Cycle using Agile Methodologies, to include but not limited to requirements interpretation, design, trade studies, development, testing, task tracking and status, and deployment. Support design and development for new technical solutions and frameworks for thin client, server side development, object oriented programming, embedded programming and database patterns and implementation. Support the technical leads in work breakdowns of larger tasks, effectively be able to estimate individual tasking and assist in estimations for junior staff. Assist and lead small teams planning and task tracking. Be a proactive and self directed technical contributor that is capable of mentoring and effectively communicating, both verbally and in writing, task updates, technical solutions, questions, and technical documentation, including interactions with the client. Daily and Monthly Responsibilities: Contribute to the design and development of an advanced software architecture that will utilize object oriented and embedded programming fundamentals, distributing computing, thin clients, and data distribution systems. Actively contribute and eventually lead all phases of the project life cycle. Develop technical requirements, design and develop innovative solutions to difficult problems, testing and integration with a larger system, and install and document complete solutions. Interact with team members, work with the team and customers to understand requirements and constraints of the target environment. Assist with the breakdown of larger tasks and develop estimates of individual and team tasks. Activities will include work primarily at SwRI facilities/laboratories and short-term travel to government client facilities in the U.S. and overseas for meetings, system installations and support. Proactively and confidently communicate on task status, communicating with team leads and project leadership, and mentoring junior staff. Must be effective in self-direction on tasks as well as working within a team. Requirements: Requires a Bachelors or a Masters degree in Computer Science or Computer Engineering (emphasis on programming and software development) or related degree field such as Computational Engineering. Required to hold a current / active TS/SCI clearance with a Full Scope Polygraph. 4+ years: Critical thinking and proactiveness required. Experience in a variety of programming languages such as Javascript, JAVA, C#, C++, HTML5, and Python, as well as comfortable in Agile methodologies for project execution. Analyze and translate complex technical requirements into an application design, implementation, unit and integration testing; software/hardware integration & documentation. Experienced and proficient in working with Microsoft Tools, Software Repositories, Software Engineering practices, Distributed computing, and Computer Science principles. Excellent verbal and written communication skills, detail oriented, proactiveness, fast learner, critical thinker, work in a collaborative team environment, and the ability to self-direct. A valid/clear driver's license is required

Who We Are: SwRI's SIGINT Solutions Department, part of Defense & Intelligence Solutions Division, develops innovative technologies integrating advanced RF systems, signal processing, electronic warfare, and hardware/software solutions. Supporting the Department of Defense and Intelligence Community, our multidisciplinary teams put mission first and deliver cutting-edge research, systems engineering, and mission-critical capabilities. We seek talented engineers who embrace innovation, thrive on technical challenges, and are driven to deliver solutions and capabilities that make a difference. Objectives of this Role: Lead and guide the development of complex system architectures, technical requirements, and interface designs, ensuring seamless integration of hardware and software capabilities while meeting customer specifications and operational needs. Support the planning and execution of engineering projects by coordinating technical activities, managing schedules and deliverables, and collaborating with project managers and stakeholders to achieve technical, cost, and schedule objectives. Apply strong analytical and engineering expertise to identify, troubleshoot, and resolve complex system challenges. Evaluate system performance, technical risks, and develop practical solutions that enhance reliability, efficiency, and mission success. Drive technical innovation by exploring emerging technologies, evaluating new engineering approaches, and identifying opportunities to improve system designs, performance, and development processes. Provide technical guidance and mentorship to junior engineers and technical staff while fostering a collaborative environment that encourages knowledge sharing, professional development, and engineering excellence. Daily and Monthly Responsibilities: Lead and support systems engineering activities throughout the engineering lifecycle, including concept development, requirements definition, system architecture, design, integration, verification, validation, and testing of complex systems. Perform system decomposition, engineering trade studies, technical analyses, and risk assessments. Lead troubleshooting, system integration, laboratory testing, and field demonstrations to optimize system performance and functionality. Collaborate with multidisciplinary engineering teams specializing in RF, electronic warfare, signal processing, embedded systems, software, and ML/AI. Provide technical guidance, coordinate engineering activities, and engage with customers. Work closely with project managers and technical leads to coordinate resources, deliverables, and achieve milestones. Develop and maintain system specifications, engineering documentation, test plans, and technical reports and requirements. Identify and evaluate emerging technologies and innovative engineering solutions to advance system capabilities. Contribute to research initiatives, technical proposals, and new business opportunities through concept development. Requirements: Requires a Bachelors degree in Electrical Engineering or Computer Engineering. 5+ years: Strong systems engineering experience demonstrating problem-solving, leadership of at least a small team, and excellent verbal and written communication skills. 5 years: System design experience must include systems that involve both hardware and software, integration thereof, as well as verification testing activities and generation of documents for design and testing. 5 years: Experience with Linux OS required. Familiarity with python scripting is preferred. Experience with C++ or Verilog/VHDL experience is a plus. 5 years: Experience providing solutions involving digital signal processing (DSP), SIGINT, COMINT, ELINT, or electronic warfare (EW) is preferred. A valid/clear driver's license is required.

Pay Range: $55.00hr - $60.00hr Job Overview: Our client is seeking a GRC Engineer for a contractor role within the Technology GRC (TechGRC) group. The candidate will work as part of the automation team, leveraging solid experience in Node.js, React, APIs, and microservices to automate compliance controls and enable real-time monitoring. Responsibilities: The successful candidate will join the automation team in automating compliance controls and processes, working toward near real-time compliance monitoring for the organization. Build a compliance automation platform and tools to provide a comprehensive view of the organization's compliance posture. Take ownership and participate in all aspects of software development activities. Introduce new insights from internal or external sources to improve reporting tools across the organization. Continuously improve and maintain SharePoint sites, wikis, and other documentation portals. Define and implement team goals, delivering solutions that balance business needs with software maintainability. Conduct fast prototyping of ideas and concepts while researching the industry's latest technology trends. Required Qualifications: Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience. 5+ years of hands-on software design and development experience. Proven ability to write reusable, testable, and efficient code. Strong hands-on experience in API design and development with Node.js and Python, utilizing frameworks such as ExpressJS and Flask. Knowledge of SQL and NoSQL databases, including PostgreSQL, MySQL, and MongoDB. Understanding of server-side templating languages such as EJS. Strong understanding of modern development practices including Agile, CI/CD, Kubernetes, Docker, and microservices architecture. Understanding of front-end technologies including HTML, CSS, ReactJS, and Redux. Strong interpersonal, verbal, and written communication skills with strong planning abilities. Ability to multitask and adapt to changing priorities and requirements. Ability to address and resolve complex technical problems using appropriate tools and techniques. Preferred Qualifications: Knowledge of compliance frameworks such as SOC 2, FedRAMP, ISO, and PCI is a plus. Cloud Site Reliability Engineering (SRE) experience is a plus. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Who We Are: The Embedded Systems Section within the Strategic Aerospace Department delivers comprehensive engineering solutions for the aerospace community, specializing in system engineering, technology insertion, requirements generation, cybersecurity, trade studies, and full lifecycle support. Our expertise encompasses the design, development, maintenance, and production of advanced hardware and software systems, supporting everything from microcircuits to major subsystems for aircraft and ground support equipment, ensuring mission-critical performance and innovation. Objectives of this Role: Design, analyze, and integrate avionics electronic hardware, circuit card assemblies, and electrical interfaces for aerospace and defense systems requiring high reliability and rigorous verification. Develop schematics and perform detailed circuit, signal, power distribution, loading, transient, and interface analyses using PSpice or equivalent electrical modeling and simulation tools. Develop electrical models that predict circuit and interface behavior across operating conditions, component tolerances, loads, power states, and system-level electrical environments. Lead hardware troubleshooting, design verification, laboratory integration, and root-cause analysis for analog, digital, mixed-signal, power, and embedded avionics electronics. Collaborate with multidisciplinary engineering teams to mature avionics hardware from requirements and analysis through design, prototype, integration, qualification, and technical data delivery. Daily and Monthly Responsibilities: Develop and review detailed schematics, component selections, interface circuits, grounding approaches, power architectures, and electrical design documentation for avionics hardware. Perform PSpice or equivalent simulations and develop circuit, signal integrity, power distribution, loading, transient, tolerance, and worst-case electrical models and analyses. Analyze aircraft and subsystem electrical interfaces, including voltage/current margins, grounding, impedance, noise, transients, power quality, distribution, and signal behavior. Support prototype bring-up, bench testing, HIL/SIL integration, troubleshooting, failure analysis, and verification of circuit card assemblies and avionics electronic subsystems. Work with systems, software, firmware, mechanical, test, manufacturing, and qualification engineers to resolve integration issues and ensure hardware meets performance requirements. Requirements: Requires a Bachelors degree in Electrical Engineering or Computer Engineering. Advanced training or graduate study in electronics, signal integrity, power electronics, embedded systems, controls, or avionics is preferred. 5+ years: Progressive electrical engineering experience designing, analyzing, integrating, and testing electronic hardware, preferably for aerospace, defense, or other high-reliability systems. 4+ years: Hands-on schematic development and circuit analysis experience covering analog, digital, mixed-signal, power, interface, protection, and embedded electronic designs. 4 years: Using PSpice, SPICE, or equivalent tools to model and analyze circuits, electrical signals, loads, power distribution, transients, tolerances, and system/interface behavior. 4+ years: Avionics or aerospace electronics experience involving aircraft electrical interfaces, embedded hardware, laboratory integration, troubleshooting, verification, or qualification. A valid/clear driver's license is required.

Standard Job Description Who We Are Lockheed Martin is a global leader in aerospace, defense, and technology solutions. Our Owego campus is a thriving center of engineering expertise, fostering a culture that encourages creativity, excellence, and the creation of exceptional products. Our team is made up of dedicated professionals who are passionate about pushing the boundaries of what's possible. What We're Doing At Lockheed Martin, we're at the forefront of cutting-edge technology and innovation. Our campus in Owego, New York is a hub for engineering excellence, where we tackle some of the world's most challenging engineering problems. We pride ourselves on our culture of creativity, excellence, and product innovation. The Work Successful candidate will perform production support and development work for advanced state-of-the-art receivers, transmitters, antennas, radomes, and anti-jam GPS systems on various Electronic Warfare programs. Responsibilities will include design, test, and evaluation of RF, analog, and digital hardware and test equipment. Candidate will perform computer aided circuit design. Applicant should have experience with digital board design, digital signal processing, laboratory work/testing and with analog, RF, and digital hardware, including practical experience with signal generators and spectrum analyzers. MATLAB scripting for automated engineering test will be required. Experience with class based / object oriented SW will be needed. Why Join Us Your Health, Your Wealth, Your Life Joining Lockheed Martin means becoming part of a team that's making a significant impact in the field of engineering. When you choose to work with us, you'll enjoy: •An excellent working environment equipped with state-of-the-art design tools. •The opportunity to work alongside industry leaders and top-notch design professionals. •A chance to be a part of solving some of the world's most challenging engineering problems. •A culture that encourages creativity, excellence, and the development of remarkable products. If you're ready to take your engineering career to the next level, work on groundbreaking projects, and be a part of a team that thrives on innovation, we encourage you to apply and be a part of our mission. Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Learn more about Lockheed Martin's competitive and comprehensive benefits package. Conducts or participates in the research, design, development, and testing of COTS or custom computing hardware and/or otherelectrical components. Develops designs for the installation of components and assembliesinto chassis, racks, cabinets,workstations, customer facilities, and/or shelters. Plans, directs, reviews and coordinates preparation of project documentation to ensure customer contract and company requirements are met. Prepares specifications, evaluates vendors, and analyzes test reports. Basic Qualifications - B.S. degree in electrical or computer engineering - Circuit card test experience (including use of signal generators and spectrum analyzers) - Digital circuit card design experience (Zuken, Xpedition, or similar) - Object oriented software proficiency Desired Skills - MATLAB scripting experience - GRETA experience Pay Information Full-Time Salary Range: $85300.00 - $158300.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Standard Job Description Who We Are Lockheed Martin is a global leader in aerospace, defense, and technology solutions. Our Owego campus is a thriving center of engineering expertise, fostering a culture that encourages creativity, excellence, and the creation of exceptional products. Our team is made up of dedicated professionals who are passionate about pushing the boundaries of what's possible. What We're Doing At Lockheed Martin, we're at the forefront of cutting-edge technology and innovation. Our campus in Owego, New York is a hub for engineering excellence, where we tackle some of the world's most challenging engineering problems. We pride ourselves on our culture of creativity, excellence, and product innovation. The Work Successful candidate will perform production support and development work for advanced state-of-the-art receivers, transmitters, antennas, radomes, and anti-jam GPS systems on various Electronic Warfare programs. Responsibilities will include design, test, and evaluation of RF, analog, and digital hardware and test equipment. Candidate will perform computer aided circuit design. Applicant should have experience with digital board design, digital signal processing, laboratory work/testing and with analog, RF, and digital hardware, including practical experience with signal generators and spectrum analyzers. MATLAB scripting for automated engineering test will be required. Experience with class based / object oriented SW will be needed. Why Join Us Your Health, Your Wealth, Your Life Joining Lockheed Martin means becoming part of a team that's making a significant impact in the field of engineering. When you choose to work with us, you'll enjoy: •An excellent working environment equipped with state-of-the-art design tools. •The opportunity to work alongside industry leaders and top-notch design professionals. •A chance to be a part of solving some of the world's most challenging engineering problems. •A culture that encourages creativity, excellence, and the development of remarkable products. If you're ready to take your engineering career to the next level, work on groundbreaking projects, and be a part of a team that thrives on innovation, we encourage you to apply and be a part of our mission. Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Learn more about Lockheed Martin's competitive and comprehensive benefits package. Conducts or participates in the research, design, development, and testing of COTS or custom computing hardware and/or otherelectrical components. Develops designs for the installation of components and assembliesinto chassis, racks, cabinets,workstations, customer facilities, and/or shelters. Plans, directs, reviews and coordinates preparation of project documentation to ensure customer contract and company requirements are met. Prepares specifications, evaluates vendors, and analyzes test reports. Basic Qualifications - B.S. degree in electrical or computer engineering - Circuit card test experience (including use of signal generators and spectrum analyzers) - Digital circuit card design experience (Zuken, Xpedition, or similar) - Object oriented software proficiency Desired Skills - MATLAB scripting experience - GRETA experience Pay Information Full-Time Salary Range: $85300.00 - $158300.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Standard Job Description Who We Are Lockheed Martin is a global leader in aerospace, defense, and technology solutions. Our Owego campus is a thriving center of engineering expertise, fostering a culture that encourages creativity, excellence, and the creation of exceptional products. Our team is made up of dedicated professionals who are passionate about pushing the boundaries of what's possible. What We're Doing At Lockheed Martin, we're at the forefront of cutting-edge technology and innovation. Our campus in Owego, New York is a hub for engineering excellence, where we tackle some of the world's most challenging engineering problems. We pride ourselves on our culture of creativity, excellence, and product innovation. The Work Successful candidate will perform production support and development work for advanced state-of-the-art receivers, transmitters, antennas, radomes, and anti-jam GPS systems on various Electronic Warfare programs. Responsibilities will include design, test, and evaluation of RF, analog, and digital hardware and test equipment. Candidate will perform computer aided circuit design. Applicant should have experience with digital board design, digital signal processing, laboratory work/testing and with analog, RF, and digital hardware, including practical experience with signal generators and spectrum analyzers. MATLAB scripting for automated engineering test will be required. Experience with class based / object oriented SW will be needed. Why Join Us Your Health, Your Wealth, Your Life Joining Lockheed Martin means becoming part of a team that's making a significant impact in the field of engineering. When you choose to work with us, you'll enjoy: •An excellent working environment equipped with state-of-the-art design tools. •The opportunity to work alongside industry leaders and top-notch design professionals. •A chance to be a part of solving some of the world's most challenging engineering problems. •A culture that encourages creativity, excellence, and the development of remarkable products. If you're ready to take your engineering career to the next level, work on groundbreaking projects, and be a part of a team that thrives on innovation, we encourage you to apply and be a part of our mission. Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Learn more about Lockheed Martin's competitive and comprehensive benefits package. Conducts or participates in the research, design, development, and testing of COTS or custom computing hardware and/or otherelectrical components. Develops designs for the installation of components and assembliesinto chassis, racks, cabinets,workstations, customer facilities, and/or shelters. Plans, directs, reviews and coordinates preparation of project documentation to ensure customer contract and company requirements are met. Prepares specifications, evaluates vendors, and analyzes test reports. Basic Qualifications - B.S. degree in electrical or computer engineering - Circuit card test experience (including use of signal generators and spectrum analyzers) - Digital circuit card design experience (Zuken, Xpedition, or similar) - Object oriented software proficiency Desired Skills - MATLAB scripting experience - GRETA experience Pay Information Full-Time Salary Range: $85300.00 - $158300.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

This job is with Avaloq, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 10 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Avaloq's R&D Lab is building a SaaS, API-first, composable banking platform. As a Senior Site Reliability Engineer you will help build the reliability practice behind it. This is amongst the first technical roles we are hiring for our Fort Lauderdale site. You will partner with our Senior SRE in Zurich and work alongside our platform engineers and product teams. The first three to six months: Some of what you can expect early on: Learning our AWS environment, our serverless platform, and how our product teams build and release Contributing to the direction on observability tooling, together with the platform engineers, the SRE team, and our developers Working with the Zurich team on the incident and on-call operating model Taking on increasing responsibility as you build context, always in alignment with the Zurich team What you will do: Define and evolve SLIs, SLOs, and error budgets with product teams, and use them to drive reliability decisions Collaborate on the design of our observability approach for a distributed serverless system, covering metrics, logs, and traces Build the incident response practice with us: on-call model, escalation, blameless post-mortems, and the loop that turns findings into hardening work Build reliability automation that detects and remediates issues before they reach clients Improve CI/CD pipelines and deployment automation on GitHub Actions to reduce operational toil and release risk Work with product teams on resilient design, capacity planning, and progressive delivery approaches such as canary and blue-green Contribute to disaster recovery design and testing for client-facing environments Partner with Security and Compliance so that operational practice holds up to regulatory and audit expectations Help us define and implement operational readiness for client go-live Mentor colleagues and support a culture of shared operational ownership Our stack: Serverless-first on AWS: Lambda, DynamoDB, SQS, S3, and Bedrock. Terraform and OpenTofu for infrastructure, GitHub Actions for CI/CD. Product teams work in Rust, TypeScript, Python, Vue, and Angular. We do not run containers. Qualifications 5+ years in Site Reliability Engineering, DevOps, or production operations for distributed cloud systems, with substantial hands-on AWS experience Practical experience defining and working with SLIs, SLOs, and error budgets Strong incident response background, including on-call, triage under pressure, and post-mortem practice A clear point of view on observability for distributed systems, and the reasoning behind it Solid automation and scripting ability. We are language-agnostic; Rust, TypeScript, or Python all work here Excellent collaboration and communication skills, with a pragmatic approach to balancing speed and stability It would be a real bonus if you have: Experience with AWS serverless and event-driven architecture, including idempotency, retries, dead-letter queues, and failure handling. Strong AWS generalists who want to go deep here are welcome Experience taking a platform from pre-launch to production, including defining operational readiness criteria Experience building AI agents to monitor platform health Strong CI/CD background, ideally with GitHub Actions, including secrets management, least-privilege permissions, and deployment controls Infrastructure as Code experience with Terraform or OpenTofu Experience with progressive deployment approaches such as canary, blue-green, or rollback automation Disaster recovery design and testing for production SaaS Experience operating across more than one cloud provider, or designing for portability Experience operating a B2B SaaS platform in a regulated environment, including audit-sensitive release processes Familiarity with SOC 2, PCI DSS, or GDPR as they apply to operational practice Experience with AI-assisted engineering tools AWS certification, particularly DevOps Engineer - Professional, Solutions Architect - Professional, or Security - Specialty Additional Information This role will require regular travel to Switzerland We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.

This job is with Avaloq, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 10 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Join our Technology R&D Lab as a Senior Test Engineer and play a key role in building the next generation of composable, coreless banking solutions. You will help deliver a secure, reliable, and scalable SaaS product for use by numerous financial institutions. You will work with highly capable engineers and product teams to define and implement modern testing frameworks, ensuring our banking platform rapidly, repeatedly and consistently delivers quality, compliance, and resilience at scale. Your key tasks: Design and maintain automated testing frameworks across UI, API, and integration layers using tools like Cypress, Playwright, and Postman Implement BDD testing practices using tools like Cucumber or SpecFlow to strengthen collaboration between product and engineering Develop test suites for performance, reliability, and security testing (e.g., JMeter, Gatling, OWASP ZAP) Integrate automated tests into CI/CD pipelines (GitHub Actions, Jenkins) to enable continuous testing and faster feedback cycles Partner with SRE, Platform Engineering, and Product teams to embed quality checks in the delivery process from design through deployment Define AI-enabled test data management, validation and environment strategies to support parallel testing across multiple product teams Champion quality engineering principles and mentor team members on test design, coverage, and automation best practices Qualifications 5+ years of experience in test automation for distributed or cloud-native systems Expertise in modern test frameworks (Cypress, Playwright, Selenium, Cucumber, TestNG, JUnit) and BDD practices Experience testing backend APIs, event-driven architectures, and data pipelines Familiarity with AWS cloud services (DynamoDB, Lambda, ECS/EKS), at least one other cloud service and Infrastructure-as-Code testing (Terraform, CDK) Understanding of CI/CD pipelines and DevSecOps principles Awareness of compliance and security testing for regulated financial systems (PCI DSS, SOC2, GDPR) Strong communication and collaboration skills, with a proactive approach to problem solving and continuous improvement Additional Information We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.

This job is with Avaloq, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Avaloq's R&D Lab is building a SaaS, API-first, composable banking platform. You will help develop its Rust backend, creating financial technology where precision, quality and scalability matter, while working closely with engineers in Fort Lauderdale and Zurich. These 3 roles are among the first engineering roles at our new Fort Lauderdale development center, offering significant scope for ownership as the team grows. You will work directly with clients, see how your solutions are used and bring those insights back into the product. The role includes onboarding with the Zurich team, collaborative mornings and productive afternoons, with regular travel to Switzerland and occasional travel to client sites. Our stack Rust with Tokio and the AWS SDK for Rust. Serverless-first on AWS, using Lambda, DynamoDB, SQS and S3, with GitHub Actions for CI/CD. Clients integrate through our APIs and the Model Context Protocol (MCP). We do not run containers. Useful domain experience Depending on the role, relevant experience may include wealth and asset management, discretionary portfolio management, investment performance and attribution, portfolio valuation and rebalancing, benchmarks and fees, or US investment taxation, including tax lots, cost basis, holding periods, wash sales, corporate actions, withholding and tax reporting. What you'll do: Design, develop and test Rust backend services for complex financial products, with a focus on accuracy, scalability and reliability. Translate complex financial rules and mathematical concepts into precise, efficient and testable software, accounting for numerical precision and edge cases. Build scalable solutions using historized, non-relational data models and asynchronous, event-driven architectures. Contribute to technical specifications, design discussions and code reviews, using AI coding agents while maintaining rigorous review standards and accountability. Own features through the development lifecycle, from implementation and automated testing to deployment and monitoring, working alongside Platform and SRE engineers. Work directly with clients and domain specialists to analyse product questions, solve problems and bring insights back into product development. Qualifications Strong programming foundations in a statically typed language such as Rust, C++, Java, Scala, Kotlin, C#, Go or TypeScript. Master's degree or PhD in computer science, mathematics, physics or a related quantitative field. Strong modelling skills, including experience or understanding of historized data, effective dating, immutability and audit trails. Strong analytical ability and intellectual curiosity, with the ability to quickly learn new technologies and complex financial domains. Clear and confident communication skills, with the ability to explain technical concepts effectively to both technical and business audiences. Ability to work independently within a distributed team and travel to Switzerland and client sites when required. It would be a real bonus if you have: Production Rust experience, or experience with another systems/strongly typed language such as C++, Haskell, OCaml or Scala. Experience in wealth or asset management technology, including investment performance, portfolio construction/rebalancing, or tax, accounting and other rule-heavy financial software. Experience with AWS serverless and event-driven architecture, particularly Lambda, DynamoDB, SQS, S3 and API Gateway, or related distributed-systems technologies. Experience with AI-assisted engineering, client-facing product development, research or open-source software. Additional Information This role includes onboarding with the existing team in Zurich, regular travel to Switzerland and occasional travel to client sites. We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.

This job is with Avaloq, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Company Description Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 10 countries, and more than 170 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues. We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world's leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential. Job Description Avaloq's R&D Lab is building a SaaS, API-first, composable banking platform. As a Senior Cloud Platform Engineer, you will help design and operate the AWS foundation and the developer experience this platform runs on, so that product teams can ship quickly and safely, and our clients can run their data in a secure, performant, and stable environment. This is amongst the first technical roles we are hiring for our Fort Lauderdale site. You will work closely with our team in Zurich. The first 3-6 months: Some of what you can expect early on: Learning our AWS environment and serverless platform setup in depth Working through open items from our Well-Architected Framework Review Contributing to the direction on observability tooling, together with the other Senior Platform Engineer, the SRE team, and our developers Taking on increasing responsibility as you build context, always in alignment with the Zurich team What you will do: Contribute to the design and operation of our multi-tenant AWS environment, including account structure, guardrails, and network and security baselines Build and maintain Infrastructure-as-Code modules and landing zones using Terraform or OpenTofu Collaborate on the design of our observability approach for a distributed serverless system Work with the team on FinOps practice: cost visibility, per-tenant attribution, and tuning of concurrency, memory, and cost per invocation Help build the guardrails, access patterns, and cost controls for product teams consuming Amazon Bedrock Support platform identity across Amazon Cognito and federation into client-managed identity providers such as Microsoft Entra ID for production workloads Share an on-call rotation with the other platform engineers, and help shape a coverage model that works across time zones Mentor colleagues and support a platform-as-a-product culture that gives teams autonomy without losing governance Our stack: Serverless-first on AWS: Lambda, DynamoDB, SQS, S3, and Bedrock. Terraform and OpenTofu for infrastructure, GitHub Actions for CI/CD. Product teams work in Rust, TypeScript, Python, Vue, and Angular. We do not run containers Qualifications 5+ years in platform engineering, cloud infrastructure, or DevOps, with substantial hands-on AWS experience Hands-on Infrastructure-as-Code experience with Terraform or OpenTofu, including multi-account and landing zone design A clear point of view on observability for distributed systems, and the reasoning behind it Solid automation and scripting ability. We are language-agnostic; Rust, TypeScript, or Python all work here Excellent collaboration and communication skills, with the ability to influence and enable product teams It would be a real bonus if you have: Experience with AWS serverless and event-driven architecture, including idempotency, retries, dead-letter queues, and failure handling. Strong AWS generalists who want to go deep here are welcome Experience building AI agents to monitor platform health FinOps or cloud cost optimization experience Experience with identity federation into client-managed identity providers such as Entra ID, and with multi-tenant identity models Experience building or scaling a B2B SaaS platform Familiarity with financial services requirements around security, compliance, and auditability Strong CI/CD and automation background, ideally with GitHub Actions Experience with Amazon Bedrock or comparable managed AI services AWS certification, particularly DevOps Engineer - Professional, Solutions Architect - Professional, or Security - Specialty Additional Information This role will require regular travel to Switzerland We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices. In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self. We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way. Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.

Job Description Job Description Cloud Security Architect - IL4 / Workday (U.S. Space Force) Job Level: Senior Employment Type: Full-Time Clearance: U.S. citizenship required Salary Range: $150,000-$200,000 annually Location: Primary site is Washington, DC metropolitan area. Candidates may also be based near Buckley, Los Angeles, Patrick, Peterson, Schriever, or Vandenberg Space Force Base. Work Arrangement: Hybrid, occasional onsite at a government or MPX site may be required Contract Status: SBIR Phase II effort with a planned pathway to a production program of record; current period of performance through contract award. The Opportunity We are seeking a Cloud Security Architect to design, secure, and support the cloud architecture behind U.S. Space Force human capital management (HCM) modernization, the system that manages several factors such as personal, promotion, and assignment for USSF Guardians. The position initially supports a Workday-based Small Business Innovation Research (SBIR) Phase II effort and is expected to contribute to the transition toward a production program of record, subject to program award and customer requirements. Reporting to the Program Manager, you will work with a team across cloud engineering, cybersecurity, identity management, enterprise integration, and Risk Management Framework (RMF) to deliver a secure, scalable architecture capable of supporting Department of War Impact Level 4 (IL4) requirements and successful authorization. Primary Responsibilities Design and document secure cloud architectures for IL4 hosting in AWS GovCloud, covering identity and access management, encryption, network security, boundary protection, and monitoring. Develop secure integration patterns between Workday and third-party SaaS, including identity federation with CAC/PKI and DoD ICAM, APIs, data exchange, and zero trust controls. Design IL4 network connectivity through the required Cloud Access Point (CAP) and align monitoring and incident response with the program's Cybersecurity Service Provider (CSSP). Partner with the RMF lead to implement and document NIST SP 800-53 controls in eMASS, apply applicable STIGs and SRGs, prepare authorization evidence, support assessors, and remediate technical findings. Evaluate the SBIR architecture against production requirements and develop scalable, supportable designs for the anticipated HCM program of record. Collaborate with the architects, platform engineers, cybersecurity specialists, subcontractors, and government technical authorities. Apply approved AI and automation tools to improve architecture analysis, configuration validation, security documentation, and engineering efficiency, while keeping CUI and other sensitive data within approved boundaries and validating all technical outputs. Requirements Required Qualifications 7+ years of cloud architecture, cybersecurity architecture, or secure enterprise systems engineering experience. Direct experience designing or securing Department of War (DoW) IL4/IL5 or FedRAMP High environments. Hands-on experience with RMF and Authority to Operate (ATO) processes, including control implementation, documentation in eMASS, and assessor support. Hands-on experience with identity federation (including CAC/PKI or PIV-based authentication), zero trust architecture, encryption, network security, and SaaS integrations. Experience designing secure APIs, enterprise integrations, and data exchange architectures. Ability to document technical decisions, communicate architecture risks, and collaborate across engineering and security teams. U.S. citizenship. Preferred Qualifications Experience integrating Workday or another enterprise human capital management platform. Experience supporting U.S. Space Force or Department of the Air Force modernization programs. Familiarity with the DoW Cloud Computing Security Requirements Guide (CC SRG), NIST SP 800-53, and applicable DISA STIGs and SRGs. Cloud architecture or security certifications (e.g., AWS or Azure architect or security credentials), or equivalent demonstrated expertise. Experience transitioning SBIR, prototype, or pilot capabilities into production government environments. Experience with AWS GovCloud or Azure Government, Cloud Access Point (CAP) connectivity, and CSSP onboarding. DoD 8140 qualification at the required level (e.g., CISSP or CCSP), or the ability to obtain it within 6 months of hire. Benefits Benefits Annual Base Salary: $150,000-$200,000, depending on experience, qualifications, and assigned responsibilities. Full-time employees are eligible for: Medical, dental, and vision coverage. Company-provided disability and life insurance. 401(k) retirement plan. Paid federal holidays. Paid time off (PTO). Benefits are subject to applicable plan terms and company policies. Our Client's Culture Our client is an AI-first mission technology company and Original Equipment Manufacturer (OEM) focused on delivering operationally ready technologies for the Department of War, Intelligence Community, and broader U.S. Government. Through a collaborative Team of Teams approach, the organization brings together mission experts, technology partners, subcontractors, and government stakeholders to generate decision advantage for missions of consequence. Its culture emphasizes: Mission-First Execution: Delivering measurable outcomes that support critical government missions. Integrity & Ownership: Demonstrating accountability, professionalism, and disciplined execution. Collaboration & Communication: Promoting candid communication and effective teamwork. Technical Excellence: Maintaining high standards through continuous improvement and innovation. Responsible AI: Advancing mission capabilities through secure and responsible technology adoption. Equal Employment Opportunity Our client is an Equal Opportunity Employer. Qualified applicants will be considered without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, or any other status protected by applicable law. This position requires U.S. citizenship, an active Top Secret clearance, and eligibility for SCI access in accordance with applicable contract and customer requirements.

Job Description Job Description Cloud Security Architect - IL4 / Workday (U.S. Space Force) Job Level: Senior Employment Type: Full-Time Clearance: U.S. citizenship required Salary Range: $150,000-$200,000 annually Location: Primary site is Washington, DC metropolitan area. Candidates may also be based near Buckley, Los Angeles, Patrick, Peterson, Schriever, or Vandenberg Space Force Base. Work Arrangement: Hybrid, occasional onsite at a government or MPX site may be required Contract Status: SBIR Phase II effort with a planned pathway to a production program of record; current period of performance through contract award. The Opportunity We are seeking a Cloud Security Architect to design, secure, and support the cloud architecture behind U.S. Space Force human capital management (HCM) modernization, the system that manages several factors such as personal, promotion, and assignment for USSF Guardians. The position initially supports a Workday-based Small Business Innovation Research (SBIR) Phase II effort and is expected to contribute to the transition toward a production program of record, subject to program award and customer requirements. Reporting to the Program Manager, you will work with a team across cloud engineering, cybersecurity, identity management, enterprise integration, and Risk Management Framework (RMF) to deliver a secure, scalable architecture capable of supporting Department of War Impact Level 4 (IL4) requirements and successful authorization. Primary Responsibilities Design and document secure cloud architectures for IL4 hosting in AWS GovCloud, covering identity and access management, encryption, network security, boundary protection, and monitoring. Develop secure integration patterns between Workday and third-party SaaS, including identity federation with CAC/PKI and DoD ICAM, APIs, data exchange, and zero trust controls. Design IL4 network connectivity through the required Cloud Access Point (CAP) and align monitoring and incident response with the program's Cybersecurity Service Provider (CSSP). Partner with the RMF lead to implement and document NIST SP 800-53 controls in eMASS, apply applicable STIGs and SRGs, prepare authorization evidence, support assessors, and remediate technical findings. Evaluate the SBIR architecture against production requirements and develop scalable, supportable designs for the anticipated HCM program of record. Collaborate with the architects, platform engineers, cybersecurity specialists, subcontractors, and government technical authorities. Apply approved AI and automation tools to improve architecture analysis, configuration validation, security documentation, and engineering efficiency, while keeping CUI and other sensitive data within approved boundaries and validating all technical outputs. Requirements Required Qualifications 7+ years of cloud architecture, cybersecurity architecture, or secure enterprise systems engineering experience. Direct experience designing or securing Department of War (DoW) IL4/IL5 or FedRAMP High environments. Hands-on experience with RMF and Authority to Operate (ATO) processes, including control implementation, documentation in eMASS, and assessor support. Hands-on experience with identity federation (including CAC/PKI or PIV-based authentication), zero trust architecture, encryption, network security, and SaaS integrations. Experience designing secure APIs, enterprise integrations, and data exchange architectures. Ability to document technical decisions, communicate architecture risks, and collaborate across engineering and security teams. U.S. citizenship. Preferred Qualifications Experience integrating Workday or another enterprise human capital management platform. Experience supporting U.S. Space Force or Department of the Air Force modernization programs. Familiarity with the DoW Cloud Computing Security Requirements Guide (CC SRG), NIST SP 800-53, and applicable DISA STIGs and SRGs. Cloud architecture or security certifications (e.g., AWS or Azure architect or security credentials), or equivalent demonstrated expertise. Experience transitioning SBIR, prototype, or pilot capabilities into production government environments. Experience with AWS GovCloud or Azure Government, Cloud Access Point (CAP) connectivity, and CSSP onboarding. DoD 8140 qualification at the required level (e.g., CISSP or CCSP), or the ability to obtain it within 6 months of hire. Benefits Benefits Annual Base Salary: $150,000-$200,000, depending on experience, qualifications, and assigned responsibilities. Full-time employees are eligible for: Medical, dental, and vision coverage. Company-provided disability and life insurance. 401(k) retirement plan. Paid federal holidays. Paid time off (PTO). Benefits are subject to applicable plan terms and company policies. Our Client's Culture Our client is an AI-first mission technology company and Original Equipment Manufacturer (OEM) focused on delivering operationally ready technologies for the Department of War, Intelligence Community, and broader U.S. Government. Through a collaborative Team of Teams approach, the organization brings together mission experts, technology partners, subcontractors, and government stakeholders to generate decision advantage for missions of consequence. Its culture emphasizes: Mission-First Execution: Delivering measurable outcomes that support critical government missions. Integrity & Ownership: Demonstrating accountability, professionalism, and disciplined execution. Collaboration & Communication: Promoting candid communication and effective teamwork. Technical Excellence: Maintaining high standards through continuous improvement and innovation. Responsible AI: Advancing mission capabilities through secure and responsible technology adoption. Equal Employment Opportunity Our client is an Equal Opportunity Employer. Qualified applicants will be considered without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, or any other status protected by applicable law. This position requires U.S. citizenship, an active Top Secret clearance, and eligibility for SCI access in accordance with applicable contract and customer requirements.

Machine Learning Engineer 4 (Manager, IC) Do you love building and pioneering in the AI and technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who love to solve real problems and meet real customer needs. We are seeking Machine Learning Engineers who are passionate about leveraging cutting-edge open source frameworks, advanced algorithms, and emerging technologies to join our team. As a Machine Learning Engineer, you'll have the opportunity to be on the forefront of driving major AI transformations and scaling production models across Capital One. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience programming with Python, Java, Golang, or C++ At least 4 years of Machine Learning experience using industry standard frameworks PyTorch or Tensorflow and libraries (Pandas, NumPy, Scikit-learn) At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI or Machine Learning data At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized Machine Learning software systems Preferred Qualifications: Master's or Doctoral Degree in Computer Science, Electrical Engineering, Mathematics, or related field 3+ years of experience optimizing ML algorithms, configurations, and infrastructure 3+ years of experience following software development best practices including source control, testing, code reviews, CI/CD, etc. 3+ years of experience building resilient software solutions with pre-production testing, advanced deployment techniques (one-box, blue/green, gradual dial-up), monitoring, alarms, and preparing incident response plans. 3+ years of experience working with Machine Learning techniques (Supervised, semi-supervised, and unsupervised, reinforcement learning, etc.) model types (Regression, Classification, Clustering, etc.), model Architectures (RNNs, CNNs, LSTMs, Transformers), training concepts (loss function, hyperparameters, regularization), and how to evaluate model accuracy and diagnose and address common issues (underfitting, overfitting) 3+ years of experience designing, implementing, and scaling production-ready data pipelines for training and evaluating ML models. 1+ years of experience as a technical lead developing ML solutions using industry best practices, patterns, and automation Authored/co-authored a paper on a ML technique, model, or proof of concept At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer ). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Machine Learning Engineer 4 New York, NY: $215,200 - $245,600 for Machine Learning 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).