Software Engineer, DevOps, Cloud Engineer - Software

Senior Software Engineer – AI‑Enabled Platforms

Location: Fairfax Station, VA (Must live in National Capital Region; able to commute to Leidos GHQ office; flexible for occasional on‑site work.)

Clearance: Must have active TS clearance with ability to obtain and maintain TS/SCI.

• Design, build, and scale distributed, cloud‑native and on‑premise systems, including developer platforms and mission‑critical applications.
• Develop and deploy AI‑enabled applications, including integration of large language models (LLMs), retrieval‑augmented generation (RAG), and agentic workflows into production.
• Architect and implement solutions using modern AI/ML frameworks, orchestration tools, vector databases, and microservices‑based architectures.
• Write high‑quality, maintainable code in multiple languages (Python, Java, C++, Go), leveraging AI‑assisted development tools.
• Leverage AI to analyze, modernize, and refactor large, complex codebases (Java, .NET, COBOL, C++).
• Design and optimize end‑to‑end AI workflows: prompt engineering, model evaluation, fine‑tuning, and continuous improvement.
• Develop and maintain CI/CD pipelines and automated testing frameworks across on‑prem, AWS, Azure.
• Apply Dev Sec Ops  principles for secure, resilient, compliant solutions (government/mission‑focused environments).
• Lead technical architecture decisions ensuring scalability, performance, and maintainability.
• Identify, assess, and mitigate technical risks proactively.
• Collaborate with cross‑functional teams; translate requirements into technical solutions; communicate to technical and non‑technical audiences.
• Support software lifecycle management: version control, release management, deployment across environments.
• Contribute to improving developer experience (DevX) through tooling, automation, and workflow enhancements.
• Operate within Agile environment: sprint planning, stand‑ups, demonstrations of working software.

• Bachelor's degree and 12+ years experience in software engineering, including senior/architect level (additional experience may substitute for degree).
• Expertise in designing and building distributed systems, developer tools, or platform engineering products.
• Hands‑on experience implementing AI/ML systems or integrating LLMs into production workflows.
• Strong knowledge of agentic frameworks, orchestration tools, RAG, vector databases, API design, and microservices.
• Deep understanding of software design patterns, CI/CD, Dev Sec Ops , and cloud‑native architectures (AWS/Azure/GCP).
• Strong coding proficiency in at least two modern languages (Python, Go, Java, C#, etc.).
• Experience supporting full SDLC from design through deployment and sustainment.
• Proven ability to work independently and lead within Agile/Scrum teams; experience mentoring junior engineers; strong communication skills.
• Must be authorized to work in the U.S.
• Must live in National Capital Region; flexible remote with ability to commute to GHQ as needed.
• Must have active TS clearance with ability to obtain and maintain TS/SCI.

• Experience leading enterprise‑wide code reuse, standardization, and modernization initiatives.
• Familiarity with developer experience (Dev Ex) improvements: tooling, workflows, platform engineering.
• Hands‑on experience with static analysis, code quality, and security scanning tools (Sonar Qube, Fortify, Checkmarx).
• Experience with cloud environments (AWS, Azure, GCP) and services like EC2, S3; containerized architectures (Docker, Kubernetes).
• Working knowledge of multiple programming languages across diverse technology stacks.
• Experience establishing and managing software baselines, inventories, and asset catalogs.
• Familiarity with open‑source frameworks for evaluating and adopting emerging technologies.
• Experience developing and visualizing engineering metrics and performance dashboards.
• Background supporting federal, intelligence, or homeland security missions.
• TS/SCI with poly clearance.

Competitive compensation, Health and Wellness programs, Income Protection, Paid Leave, Retirement.

Pay Range: $ – $ (general guideline; not a guarantee).