Software Development Manager, Leo Security

Amazon Leo is a constellation of Low Earth Orbit satellites that will provide low-latency high-speed broadband network connectivity to unserved and underserved communities around the world.

We are looking for an experienced software development manager to lead the Engineering and R&D team within Leo Infrastructure and IP Security. The team defends the manufacturing lines launch sites and global ground infrastructure behind the constellation from the most sophisticated threat actors on the planet. You will grow and lead a multidisciplinary team of software engineers applied scientists and security engineers building a neuro-symbolic reasoning platform: large language model agents combined with a knowledge graph and real-time asset state store that ground every conclusion in verifiable fact so every automated decision is auditable. The platform automates incident response threat analysis offensive security testing and detection authoring backed by a high-throughput streaming pipeline that takes a detection from concept to production in hours. This is a unique opportunity to build a security platform from early stage through global scale at a consequence level few teams ever encounter.

Export Control Requirement

Due to applicable export control laws and regulations candidates must be a U.S. citizen.



Key job responsibilities
You will own the full software development lifecycle for the platform: architecture and design reviews roadmap planning with science and security peers code review operational excellence on-call and live-site response and the hiring plan that grows the team. You are a player/coach: you set technical direction own delivery across every workstream recruit and develop the team and stay in the code and the data enough to lead designs unblock investigations and review the hardest changes yourself. You will set the bar on model alignment evaluation and the interaction patterns that make automated decisions trustworthy at scale and you will identify where automation can replace manual security operations while maintaining rigorous controls.


A day in the life
You will review agent and detection designs before they reach production ensuring new capabilities enforce guardrails produce auditable decisions and degrade safely when models are wrong. You will evaluate incoming threat intelligence with your team and let it reshape priorities: when new reporting shows an adversary capability that maps to a coverage gap the roadmap moves. You will obsess over the two latencies that define the platform the time from event to detection and the time from detection to containment action and drive both down release over release. You will drive your engineers and scientists through sprint execution make tradeoff decisions between research ambition and delivery velocity and coordinate with the security operations teams the platform serves so it reflects the workflows it is automating. You will work closely with principal engineers and partner security teams on integration points including telemetry ingestion detection deployment and automated response. This is an R&D role with a production mandate: the platform runs continuously across a global site portfolio and executes actions with real operational consequences.


About the team
Leo Infrastructure and IP Security protects the people facilities hardware and supply chain behind a global satellite constellation. The Engineering and R&D team within this organization builds the platforms and tooling the security pillar teams operate on moving security operations from manual triage to correlation-based detection automated response and agentic AI. The team is composed of applied scientists software engineers and security engineers working across physical and digital security domains.

Inclusive Team Culture

In Amazon Security its in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas perspectives and voices.

Training & Career Growth

Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing training and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve.


- 3 years of engineering team management experience
- 7 years of engineering experience
- 3 years of providing technical leadership and project management for all aspects of the software development lifecycle experience
- Bachelors degree or above in computer science engineering mathematics or equivalent or Bachelors degree in computer science engineering mathematics or equivalent
- - 5 years of designing building and operating distributed systems including data pipelines event-driven architectures or stream processing systems
- - Experience hiring developing and managing a multidisciplinary team spanning multiple job families (software engineers applied scientists security engineers or equivalent) including performance management career development and technical coaching tailored to each discipline
- - Experience aligning research engineering and operational delivery across science and engineering peers
- - Proficiency in at least one of Python Rust or Java with the ability to read review and write production code on the teams stack

- Experience leading and influencing your team or organization or experience in developing and deploying LLMs in production on GPUs Neuron TPU or other AI acceleration hardware
- - Experience leading teams that operate graph databases or knowledge graph platforms (Neptune Neo4j or equivalent) at production scale
- - Experience leading teams that build real-time event correlation or stream processing systems at terabyte scale
- - Experience building human-in-the-loop approval workflows and staged rollout systems for AI-driven automation in environments where wrong actions have material operational consequences
- - Experience designing observability and instrumentation systems for production ML or AI workloads including trace collection evaluation harnesses and cost and latency monitoring for LLM-based systems
- - Experience in security operations or related domains
- - Experience growing a small founding team into a multi-team organization including spinning out adjacent teams and managing across distinct technical missions
- - Experience communicating with senior leadership to set technical direction defend investment plans and report against operational metrics

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 184900.00 - 250200.00 USD annually