Engineering Manager, AI-Driven Security Platform

Amazon

Herndon (VA)

In loco

USD 185.000 - 250.000

Tempo pieno

14 giorni+

Generatore di candidature

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Descrizione del lavoro

Amazon Leo is building a security-focused platform to defend a global satellite constellation. We seek a software development manager to lead the Engineering and R&D team within Leo Infrastructure and IP Security, guiding architects, engineers, and security experts from design to production.

You will drive roadmap, ensure auditable decisions, and scale the platform across on‑orbit ground infrastructure, launch sites, and manufacturing lines, balancing performance with rigorous controls.

Competenze

3+ years of engineering team management
7+ years of engineering experience
8+ years of leading the definition and development of multi tier web services
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

Mansioni

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
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
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