Amazon
Senior Software Development Engineer, Leo Security
$168K–$227K
Arlington, VA +1 · Senior · Full-time · Posted Aug 14, 2026
- Location
- Arlington, VA
Herndon, VA - Experience
- 5+ years in software development, programming, and design or architecture leadership; 3+ years mentoring, tech leading, or leading an engineering team.
- Education
- Bachelor's degree in computer science or equivalent.
- Visa sponsorship
- Candidates must be a U.S. citizen due to applicable export control laws and regulations.
About the job
Build and operate a scalable security platform for Amazon Leo that uses AI agents and verifiable data to automate threat analysis, detection, and incident response across satellite-related infrastructure.
What you'll do
- Set platform architecture and build distributed systems for telemetry ingestion, real-time correlation, agent execution, and observability.
- Automate security operations and develop evaluation, backtesting, and deployment safeguards for models and detections.
- Operate services, lead design reviews, mentor engineers, and partner with applied scientists to productionize research.
What they ask for
- 5+ years of non-internship professional software development experience and 5+ years programming in at least one language.
- 5+ years leading design or architecture of new and existing systems, including design patterns, reliability, and scaling.
- Experience as a mentor, tech lead, or engineering team lead; 3+ years in this capacity.
- Experience with performance optimization and designing distributed systems, including real-time stream processing at terabyte scale.
Nice to have
- 5+ years of full software development life cycle experience.
- Experience with LLM APIs or agent frameworks, knowledge graphs, multi-agent orchestration, production AI observability, or security disciplines.
Pay
168,100.00 - 227,400.00 USD annually (base salary); 168,100.00 - 227,400.00 USD annually (base salary)
Tools
LLM APIs, Neptune, Neo4j, SIMD
AI focus
Build a neuro-symbolic platform combining LLM agents, a knowledge graph, and real-time asset state to automate security analysis and response; create evaluation, backtesting, observability, and guardrails for AI workloads.
Model-written summary · the original posting is authoritative