SDE II building autonomous AI agent systems that automate Amazon Leo's global ecommerce launch pipeline

A mid-level (SDE II) role on Amazon's Project Kuiper-adjacent Leo Regulus team, requiring 3+ years of professional software development, 2+ years of design/architecture experience, and 2+ years of full-stack experience. The work is explicitly AI-native: designing autonomous agents and orchestration systems that replace manual, cross-domain (tax, accounting, legal, trade, commerce) validation work needed to launch satellite connectivity in 100+ countries.

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What this interview tests

Designing multi-agent orchestration systems that run in parallel
Grounding autonomous agent behavior in domain rules (e.g. accounting, tax, compliance)
Full-stack system design and architecture judgment
Reliability and scaling without proportional headcount growth
Diagnosing and remediating agent-produced errors autonomously

Common question themes

Tell me about a system you built that coordinated multiple independent components or workers in parallel

How would you design a knowledge base that grounds an AI agent's behavior in strict domain rules like accounting or compliance

Walk through a full-stack feature you designed end to end, including the architecture tradeoffs

How do you validate that an autonomous system's output is correct without a human checking every case

Describe how you'd scale a validation process from one country to 100+ without linearly scaling the team

How candidates describe it

Real Software Engineer II interview stories — retold from candidates' public write-ups, with sources.

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