Jobs at Federal Guardian

This Senior Specialist role at L3Harris supports space component manufacturing operations in Redmond, Washington, focusing on the design of high-reliability systems for rocket engines and propulsion components. The position involves designing production tooling, test equipment, and automation solutions while collaborating directly with manufacturing teams on the floor to validate hardware. Key responsibilities include creating detailed engineering drawings and 3D models using CAD software, developing electronic test fixtures for component validation, and leading projects to optimize manufacturing processes. The role appeals to hands-on engineers seeking to contribute to national security missions within an inclusive culture that values professional growth and work-life balance. The position features a unique 9/80 work schedule, allowing employees to work 80 hours over nine days with every other Friday off.

This senior DevOps Engineer role within Leidos' Spatial Solutions Division supports mission-critical systems for the National Geospatial-Intelligence Agency. The position focuses on deploying microservices through DevSecOps pipelines in a Linux-based AWS environment. Key responsibilities include designing and securing virtual networks, managing GitLab CI/CD pipelines, configuring Docker containers, and providing technical guidance to development teams. The role offers a hybrid work arrangement with onsite presence in select locations and up to half-time telework. It appeals to candidates seeking to work on high-impact geospatial intelligence projects within a culture that values innovation and rapid execution. An active Top Secret security clearance is required.

This senior DevOps Engineer role within Leidos' Spatial Solutions Division supports mission-critical systems for the National Geospatial-Intelligence Agency. The position focuses on deploying microservices via DevSecOps pipelines in Linux-based, multi-tenant AWS environments. Key responsibilities include designing and securing virtual networks, managing GitLab CI/CD pipelines, configuring Docker containers, and providing technical guidance to development teams. The role offers a hybrid work arrangement with onsite presence required in select locations while allowing up to half-time telework. It appeals to candidates seeking to work on high-impact geospatial intelligence projects within a culture that values innovation, rapid execution, and technical disruption.

This senior DevOps Engineer role within Leidos Spatial Solutions supports mission-critical systems for the National Geospatial-Intelligence Agency. The position focuses on deploying microservices through DevSecOps pipelines in Linux-based multi-tenant environments. Key responsibilities include designing and securing AWS virtual networks, managing GitLab CI/CD pipelines, and configuring Docker containers. The role offers a hybrid work arrangement with onsite presence in select locations and up to half-time telework. It appeals to candidates seeking to work on high-impact geospatial intelligence projects within a culture that values innovation and rapid execution. An active Top Secret security clearance is required.

This onsite Senior Software Engineer role at RTX supports the Space and RF Sensors team in Fort Wayne, Indiana, focusing on developing cutting-edge aerospace and defense solutions. The position involves designing, developing, and testing complex software systems using languages like C++ and Python within an agile environment. Key responsibilities include participating in cross-disciplinary product teams, managing the full software development lifecycle, and potentially leading small engineering groups. The role appeals to candidates seeking to work on meaningful missions that enhance national security while leveraging emerging technologies like Generative AI. It offers a collaborative culture rooted in innovation and safety, with opportunities for professional growth within a global leader in the industry. U.S. citizenship and an active Secret security clearance are required.

This junior-level Media Malware Analyst role within Leidos National Security Sector supports United States Cyber Command operations by identifying and analyzing sophisticated malware threats targeting defense networks. Key responsibilities include conducting static and dynamic malware analysis, performing forensic investigations of compromised systems, reverse engineering malicious code, and producing technical intelligence reports for leadership. The position offers the opportunity to work on high-impact national security missions in a fast-paced, collaborative environment that values innovation and mission-critical problem solving. The role requires on-site support and necessitates an active Top Secret security clearance with polygraph eligibility.

This onsite Senior Information System Security Officer role is based in Goleta, California, supporting the cybersecurity team at a leading aerospace and defense organization. The position requires an active DoD Secret clearance and focuses on ensuring system compliance with NIST standards, customer directives, and various security policies. Key responsibilities include conducting technical and administrative assessments, auditing system security, investigating violations, and developing security plans and documentation. The role offers the opportunity to work on complex, classified networks and integrate advanced cybersecurity tools within a collaborative environment. Candidates will join a mission-driven team dedicated to solving global security challenges, with access to professional development, relocation assistance, and a comprehensive benefits package.

This full-time onsite role within the Electronic Warfare and Airborne Sensors department at Raytheon involves designing, developing, and testing advanced electronic warfare systems and sensor technologies. The Senior Systems Engineer will lead requirements decomposition, oversee RF system design, manage system integration and verification activities, and provide engineering support for lab testing and failure analysis. The position offers the opportunity to work on meaningful mission-critical projects that enhance national security while contributing to a culture rooted in safety, innovation, and collaboration. Candidates will benefit from relocation assistance and the chance to solve complex technical challenges alongside experienced engineers in Fort Wayne, Indiana.

This onsite Senior Supervisor role within the Battle Management Systems Software Department at RTX involves leading a software engineering team in Fort Wayne, Indiana. The position focuses on overseeing personnel assignments, providing technical guidance, managing performance appraisals, and supporting major defense programs. Key responsibilities include ensuring staff growth opportunities, adhering to company policies, and utilizing Agile methodologies like Scrum and DevSecOps. The role appeals to candidates seeking to contribute to national security and aerospace innovation within a collaborative culture that values safety, trust, and innovation. It requires a U.S. citizen with an active or obtainable Secret security clearance and offers the chance to work on complex systems using languages such as C++, Java, or Ada in a dynamic, fast-paced environment.

This full-time Lead Machine Learning Engineer role places the candidate within an Agile team at Capital One focused on productionizing machine learning applications at scale. Key responsibilities include designing and building ML models to solve business problems, constructing optimized data pipelines, and ensuring high availability and performance through cloud-based architectures and continuous deployment practices. The position requires collaboration with product and data science teams to manage model retraining, monitoring, and governance while adhering to responsible AI standards. The role is appealing for its opportunity to work with emerging technologies, apply the latest innovations in ML engineering, and lead teams in a collaborative environment. The position is based in McLean, VA, New York, NY, or Plano, TX.

This full-time Lead Machine Learning Engineer role within Capital One's Agile teams focuses on productionizing machine learning applications at scale. The position involves designing and building ML models to solve real-world business problems, developing optimized data pipelines, and ensuring high availability and performance of deployed systems. Key responsibilities include collaborating with product and data science teams, managing model retraining and monitoring, and implementing continuous integration and deployment practices using languages like Python, Scala, or Java. The role appeals to candidates seeking to apply the latest innovations in machine learning engineering within a collaborative environment that emphasizes responsible AI and technical growth. The position is based in McLean, VA, New York, NY, or Plano, TX.

This senior distinguished engineering role focuses on architecting and scaling foundational compute infrastructure for Capital One's enterprise AI and machine learning platform. The position involves designing highly available, multi-tenant systems using distributed frameworks like Ray and Spark, while optimizing performance for large-scale model training and inference workloads. Key responsibilities include developing control and data plane implementations, automating operational workflows, and leading technical execution for complex projects involving generative AI and transformer models. The role appeals to technical leaders seeking to shape the future of responsible AI in banking, offering the opportunity to mentor talent, influence system design, and work within a collaborative culture that values innovation. This position is eligible for remote work, allowing engineers to contribute to high-impact technology solutions from anywhere.

The Senior Director, Applied Research role leads the AI Foundations team at Capital One, driving strategic direction for trustworthy and reliable AI systems within the banking sector. Key responsibilities include managing teams of applied scientists, building AI foundation models from design through implementation, and collaborating with cross-functional groups to deliver high-impact products that transform customer experiences. The position appeals to leaders passionate about emerging technologies, offering the opportunity to represent the company in the global research community and mentor talent while working with advanced tools like PyTorch and AWS. This people management role focuses on translating complex research into tangible business goals and is based in various US locations including Cambridge, McLean, New York, Richmond, and San Francisco.

This Applied Researcher II role within Capital One's AI Foundations team focuses on developing core Large Language Models and Agentic AI systems to transform banking experiences. The position involves designing, training, and validating foundation models while leveraging technologies like PyTorch and AWS to extract insights from vast datasets. Key responsibilities include collaborating with cross-functional teams to deliver scalable AI products, conducting high-impact research on emerging technologies, and translating complex technical concepts into tangible business solutions. The role appeals to candidates seeking to work at the forefront of AI innovation in a collaborative environment that values creativity, leadership, and ethical decision-making. It offers the opportunity to drive the next generation of customer interactions through cutting-edge machine learning research and engineering.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing trustworthy AI systems to transform banking experiences. The position involves partnering with cross-functional teams to build and deploy large-scale foundation models, utilizing technologies like PyTorch and AWS to extract insights from vast datasets. Key responsibilities include managing the full research lifecycle from design and training to evaluation and implementation, while translating complex technical concepts into tangible business value. The role appeals to candidates passionate about pushing the boundaries of machine learning and deep learning, offering the opportunity to work on high-impact projects that redefine customer interactions. The position is based in major hubs including Cambridge, McLean, New York, and San Francisco, providing a collaborative environment dedicated to innovation and ethical AI development.

This Applied Researcher I role within Capital One's AI Foundations team focuses on developing multi-agent systems and knowledge graph technologies to transform banking operations. The position involves building scalable AI architectures using frameworks like LangGraph and MCP, designing foundation models from design through implementation, and collaborating with cross-functional teams to deliver intelligent customer experiences. The role appeals to candidates passionate about pushing the boundaries of AI research, offering the opportunity to work with cutting-edge tools on high-impact problems that redefine software development and customer service. The position requires a strong engineering mindset to deploy models at scale and supports a culture of innovation where emerging technologies are continuously evaluated and applied to real-world business challenges.

The Applied Researcher I role is based within the AI Foundations team at Capital One, focusing on developing trustworthy and reliable AI systems for the banking sector. Key responsibilities include partnering with cross-functional teams to deliver AI-powered products, building and training large-scale foundation models using technologies like PyTorch and AWS, and translating complex research into tangible business solutions. The position appeals to candidates passionate about pushing the boundaries of machine learning to reimagine customer experiences. It offers a collaborative environment where researchers can own their agendas and work on high-impact projects that combine academic rigor with real-world application.

The Manager, Data Science - AI Foundations role leads the AI Foundations Specialist Models team within Capital One's mobile app division. The position focuses on designing and deploying scalable generative AI solutions, including Large Language Models and Natural Language Processing systems, to enhance customer interactions. Key responsibilities involve partnering with cross-functional teams to operationalize machine learning models for millions of users, leveraging technologies like PyTorch and AWS, and translating complex technical concepts into business value. The role is appealing for its opportunity to drive innovation at scale within a data-centric culture, offering a chance to shape next-generation financial experiences while fostering talent development and challenging conventional thinking.

This Principal Data Scientist role within the AI Foundations team focuses on developing scalable machine learning and natural language processing solutions for Capital One's mobile applications. The position involves leading the design, training, and operationalization of large language models to power features like the Eno digital assistant and personalized customer experiences. Key responsibilities include collaborating with cross-functional product and engineering teams, leveraging technologies such as PyTorch and AWS, and translating complex AI concepts into tangible business value. The role is appealing for its opportunity to drive innovation at a massive scale serving over 80 million customers, offering a dynamic environment where emerging generative AI technologies are actively applied to solve undefined problems. The position supports a customer-first culture and emphasizes professional growth through talent development and technical leadership.

The Business Director- Card Technology Strategy role leads strategic initiatives within the Card Technology Strategy team at Capital One, partnering with senior leadership to define the division's technology agenda. Key responsibilities include developing business strategies to drive growth and profitability, managing product and pricing strategies through data modeling, and overseeing multiple concurrent projects while mentoring analysts. The position appeals to candidates seeking a collaborative environment that values innovation, continuous learning, and the opportunity to solve complex challenges in a fast-paced financial services setting. The role requires strong analytical and leadership skills to influence stakeholders across technology, product, and business units.

This Manager, Product Management role within Capital One's Enterprise Payments team focuses on defining the digital payments roadmap and modernizing legacy systems into a cloud-based, real-time environment. The position involves shaping product strategy, collaborating with cross-functional teams of engineers and designers, and delivering intuitive payment experiences for diverse customer segments. The role is appealing for its opportunity to drive innovation in a tech-centric culture that is redefining industry standards for faster payments. It offers a dynamic environment where candidates can leverage technology to solve complex problems and lead transformational initiatives while working on high-impact projects that blend digital design with backend integration.

This senior leadership role within Capital One's Cloud Operations Resilience Engineering organization leads the product strategy for operational intelligence and observability tools. The position is responsible for overseeing the collection and analysis of data across software, databases, and infrastructure assets to ensure technology platforms remain performant, secure, and resilient. Key duties include driving innovation in monitoring solutions, aligning cross-functional teams to solve complex operational challenges, and translating business strategy into technical product outcomes. The role appeals to leaders seeking to shape the future of internal technology management within a vibrant, transformational culture that values human-centered design and integrated problem-solving. The position operates within a major financial institution's digital ecosystem, offering significant scope to influence how the company manages its technology assets.

This full-time Senior Financial Analyst role supports the Retail Bank Finance Team at a company dedicated to visual storytelling and data-driven decision-making. The position involves leading financial reporting, budgeting, forecasting, and variance analysis while managing Profit & Loss statements. Key responsibilities include collaborating with system analysts to develop financial models, coordinating data collection across departments to ensure integrity, and creating business presentations to communicate insights to senior leadership. The role appeals to professionals seeking to challenge existing processes for greater efficiency and to partner with business units on strategic direction. It offers a collaborative environment focused on sustainable performance and professional growth within a comprehensive benefits framework.