Software Development Manager, Leo Security

Software Development Manager, Leo Security

Job ID: 10537052 | Amazon.com Services LLC

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.

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, it's 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

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll 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, there's nothing we can't achieve.

Basic Qualifications

• - 3+ years of engineering team management experience
• - 7+ years of engineering experience
• - 8+ years of leading the definition and development of multi tier web services experience
• - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
• - - 5+ years of designing, building, and operating distributed systems, including data pipelines, event-driven architectures, or stream processing systems
• - -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 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 team's stack

Preferred Qualifications

• - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
• - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
• - Experience communicating results to senior leadership, or experience in building financial and operational reports/data sets that inform business decision-making
• - - 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

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 you’re applying in isn’t 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 .

USA, VA, Arlington - 184,900.00 - 250,200.00 USD annually

USA, VA, Herndon - 184,900.00 - 250,200.00 USD annually

USA, WA, BELLEVUE - 184,900.00 - 250,200.00 USD annually

Preferred Qualifications

• - Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
• - Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
• - Experience communicating results to senior leadership, or experience in building financial and operational reports/data sets that inform business decision-making
• - - 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

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 you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.