SysDev Engineer, Amazon Leo

Amazon is hiring a SysDev Engineer, Amazon Leo in Arlington, United States. It pays $151k-$205k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
Level lists 20,000+ other open roles at Amazon.
The role was posted within the past week.

AI in this role

Amazon Leo is Amazon’s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.

As a System Development Engineer III at Amazon Leo Global Business & Customer Operations ASTRA team (Agentic Surfaces, Tools & Resource Access), you will own platform reliability and security architecture for ASTRA's data and agentic surfaces. You will ensure our surfaces run reliably in production and makes governed, least-privilege access real as we extend GenAI across the Leo business including into government (ALG) use cases. This is a high-ownership role: you will both operate the systems and author the security architecture behind them. You will design and implement resilient, scalable systems while driving test automation and business process improvements that reduce complexity and harness Amazon AI tech to eliminate repetitive work. Your technical expertise will directly shape how teams build & operate systems that our customers and leadership depend on and your strategic thinking will ensure those systems are ready for what comes next.

Key job responsibilities
- Design technology solutions and architectures that solve complex business and technical problems, decomposing hard challenges into components that can be delivered incrementally by you and your teammates.
- Define and implement engineering best practices and operational-excellence standards, leading architecture, design, and operational readiness reviews plus post-incident analyses.
- Own the reliability standard for Weekly Business Review (WBR) data: alerting, escalation, freshness validation, and pre-review availability SLAs.
- Build and operate deployment pipelines for skills, agents, and services, including version sets, automated release and pickup, and rollback.
- Harden and operate MCP servers and agentic surfaces: monitoring, runbooks, on-call readiness, and incident response.
- Design and implement fine-grained authorization and least-privilege models for governed data access, moving beyond authentication-only patterns.
- Build audit trails, permission boundaries, and secure-by-default patterns for agentic data access, including row/column-level controls for sensitive and government (ALG) data sharing.
- Identify and drive automation that reduces operational burden, lowers cost, and improves resiliency.
- Partner on Amazon Security Reviews and represent ASTRA's security posture to stakeholders.
- Mentor engineers and produce exemplary artifacts: code, documentation, runbooks, and dashboards.

About the team
ASTRA builds the AI-powered tools, agentic interfaces, and data discovery surfaces that put trusted, governed data into the hands of every business operator across Amazon Leo. We own the "last mile" between data infrastructure, science models, and the business — and we are the vehicle extending GenAI across all of Leo Business.

Basic qualifications

- Experience leading the design, automation, deployment, and support of large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix
- Experience with CI/CD pipelines build processes

Preferred qualifications

- Experience with distributed systems at scale
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Experience defining system architectures and exploring technical feasibility tradeoffs
- Experience writing technical documents, project plans and progress reports to leadership and to stakeholders

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, VA, Arlington - 151,200.00 - 204,600.00 USD annually
USA, WA, BELLEVUE - 151,200.00 - 204,600.00 USD annually

How we rate this

SysDev Engineer, Amazon Leo at Amazon rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.