Amazon
Senior Software Development Engineer, Leo Security
$168K–$227K
Arlington, VA +1 · Senior · Full-time · Posted Oct 21, 2026
- Location
- Arlington, VA
Herndon, VA - Experience
- 5+ years in each of the stated software development, programming, and design/architecture areas; engineering mentorship or leadership experience required.
- Education
- Bachelor's degree in computer science or equivalent (preferred).
- 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 that uses AI agents, knowledge graphs, and real-time data to automate threat analysis, incident response, security testing, and detection development.
What you'll do
- Own platform architecture and build distributed systems for telemetry ingestion, correlation, agent execution, and observability.
- Automate security operations and develop evaluation, backtesting, and deployment safeguards for detections and AI-driven actions.
- Operate platform 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.
- 5+ years of programming experience with at least one software programming 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.
Nice to have
- 5+ years of full software development life cycle experience, including coding standards, code reviews, source control, build processes, testing, and operations.
- Bachelor's degree in computer science or equivalent.
Pay
168,100.00 - 227,400.00 USD annually (base salary); 168,100.00 - 227,400.00 USD annually (base salary)
Tools
large language model agents, knowledge graph, real-time asset state store, high-throughput streaming pipeline
AI focus
Build a neuro-symbolic reasoning platform using large language model agents grounded by a knowledge graph and real-time asset data; automate security analysis and response, with evaluation and backtesting before production use.
Model-written summary · the original posting is authoritative