STR
Lead Software Engineer
$180K–$230K
Arlington, VA +2 · Full-time · Posted Oct 20, 2026
- Location
- Arlington, VA
Arlington, Virginia, United States
Woburn, Massachusetts, United States - Experience
- PhD with 2+ years, MS with 6+ years, or BS with 8+ years of relevant experience.
- Education
- PhD, MS, or BS in computer science, software engineering, computer engineering, or a related technical discipline.
About the job
Leads technical delivery of mission-relevant software systems that integrate advanced analytics, machine learning, and data-processing capabilities for government customers.
What you'll do
- Lead software delivery from requirements through implementation, integration, testing, demonstration, deployment, and sustainment.
- Translate customer objectives into requirements, architectures, plans, milestones, and acceptance criteria; manage tasks, dependencies, risks, and progress.
- Guide and mentor engineers; oversee architecture, reviews, integration, quality, customer demonstrations, and transition planning.
What they ask for
- Ability to obtain and maintain a Top Secret security clearance; U.S. citizenship is needed by the U.S. government.
- Experience leading software development efforts or major workstreams.
- Experience translating customer needs into software requirements, designs, development plans, test plans, and integrated capabilities.
- Proficiency in one or more programming languages and experience developing production-quality software; experience with engineering practices including Git, code review, automated testing, CI/CD, containers, and secure development.
Nice to have
- Active Secret, Top Secret, or TS/SCI clearance; architecture, DevSecOps, large codebase, or decentralized-systems experience.
- Technical proposal, customer demonstration, or capture support experience with DoW or IC customers; experience using LLM-enabled tools such as Cursor or Codex.
Pay
$180,000 - $230,000 USD base salary
Tools
Python, C++, Java, Go, Git, CI/CD, Cursor, Codex
AI focus
Leads software systems that operationalize advanced analytics and machine learning; LLM-enabled development tools are a preferred experience.
Model-written summary · the original posting is authoritative