AmazonPosted 2d ago

Software Development Engineer , Leo Regulus

Software Development Engineer , Leo Regulus at Amazon scores 95 out of 100 on AI centrality, which makes it a Level 4 role on this board.

US, WA, Redmondmidfull-time$144k-$194k

AI in this role

Build autonomous AI agents and orchestration systems that execute end-to-end ecommerce validation for Amazon Leo global launches.

llmsautonomous-agentsorchestration-systems

ai-agentsmachine-learningdistributed-systemssystem-design

Amazon Leo is bringing satellite internet to 100+ countries — and before we can sell in any of them, an enormous amount of behind-the-scenes checking has to pass: is every customer charged correctly, is tax right for that country's laws, does money move to the right accounts, are the invoices legally valid, does the whole buy-and-activate experience actually work end to end? Today, dozens of teams work through this by hand, one step after another, for months. It's the single biggest thing standing between "we're ready" and "we've launched" — and we're replacing that entire process with AI.

Leo Regulus is an AI-native team building squads of autonomous agents that compress Leo's launch process from months to days. The agents run in parallel, share context across every domain a launch touches — tax, accounting, payments, legal, trade, and commerce — and get smarter with each country we ship. Crucially, we don't do the manual work; we build the agents that do it, and do it better each time. Instead of writing the checks by hand, we build agents that write, run, diagnose, and fix them.

This is a rare kind of problem: real autonomy with real stakes — these agents gate a global product launch — and genuine cross-domain reasoning, because a single launch spans law, finance, payments, and the shopping experience all at once, and the agents have to keep each other in sync. You don't need any background in testing or launch operations; you need to be great at building intelligent systems and excited by agentic AI as the product itself — designing how agents plan, act, check their own work, recover from failure, and learn. If building the AI team that launches satellite internet across the planet — in minutes instead of months — sounds like the most interesting thing you could work on, let's talk.

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Key job responsibilities
Key Job Responsibilities:

*Design and build autonomous AI agents that execute end-to-end ecommerce validation without human intervention
- Build orchestration systems that coordinate dozens of domain-specific agents working in parallel
- Create knowledge base architectures that ground agent behavior in accounting, tax, and compliance rules
- Solve novel problems at the intersection of AI, distributed systems, and financial domain complexity

A day in the life
An SDE on Leo Regulus will be responsible for designing, building, and operating autonomous AI agent systems that automate the end-to-end ecommerce launch lifecycle — from requirements generation through financial configuration, test execution, and validation — enabling Amazon Leo to scale country and feature launches across 100+ markets without proportional headcount growth.

About the team
We are a team building the AI infrastructure that makes Amazon Leo's 100-country launch possible. Our entire stack is AI-native — every system we build either is an agent, powers an agent, or feeds an agent. We don't maintain legacy test frameworks or manual runbooks. We build autonomous systems and point them at problems that would otherwise require hundreds of engineers.

Basic qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 2+ years of full stack development experience

Preferred qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits.

USA, WA, Redmond - 143,700.00 - 194,400.00 USD annually

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsMachine LearningDistributed SystemsSystem DesignLlmsAutonomous AgentsOrchestration Systems

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where system design was part of your work. What did you do?
Walk me through how you've used Llms in your day-to-day work.

Adapt your resume

List these exact terms on your resume: AI Agents, Machine Learning, Distributed Systems, System Design, and Llms. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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