Sr Systems Dev Engineer, Amazon Leo OISL

Amazon LEO is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world, helping close the digital divide for consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.

We are seeking an exceptional Senior System Development Engineer to serve as the technical lead and senior individual contributor for our Network Operations team within the Optical Inter-Satellite Link (OISL) organization. This is a high-impact role where you will represent the entire Network Operations function of OISL - owning the strategy, tooling, automation, and operational excellence of a revolutionary laser communication network connecting thousands of satellites in space.

The Role

This is a hybrid lead and senior individual contributor role. You will own the end-to-end Network Operations strategy for OISL, including defining what tools and services need to be built, driving automation of monitoring and incident response, and ensuring operational readiness as the constellation scales. You will be the senior technical voice for OISL Network Operations, partnering across the organization to drive improvements.

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

Network Operations Strategy & Leadership

• Own the OISL Network Operations strategy - tooling roadmap, automation priorities, and process maturity
• Lead the NetOps on-call program: escalation design, automated ticketing, runbooks, and incident response
• Drive operational cadence: metrics reviews, readiness assessments, and capacity planning

Automation & Tooling

• Build scalable services that automate monitoring, fault detection, classification, and ticketing for the optical inter-satellite link network
• Develop data pipelines for KPI tracking, anomaly detection, and proactive issue identification
• Build observability platforms - dashboards, alerting, and real-time monitoring at scale
• Apply ML/AI for fault correlation, root cause analysis, and predictive failure detection

Cross-Functional Collaboration

• Partner with hardware, software, and ground network teams to drive system reliability improvements
• Lead investigations into complex link failures and constellation-level fault patterns
• Represent Network Operations in architecture reviews and program planning

Individual Contribution

• Hands-on development of tools, services, and automation (Python, Spark SQL, cloud services)
• Design testing strategies for distributed satellite network systems
• Author technical specifications and operational documentation
• Mentor team engineers

A day in the life

You review the ticket queue and real-time satellite link health, spot degradation patterns, query telemetry, correlate with constellation changes, and engage and work with Hardware/Embedded Software Experts to root cause the issue. You lead cross-functional syncs on recurring failures, propose automated remediation workflows, build automated ticketing pipelines that eliminate manual triage, review teammates" code, update on-call runbooks, and identify observability gaps to close.

About the team

The OISL Network Operations team is responsible for the operational monitoring, troubleshooting, and reliability of 10,000+ optical laser links carrying customer traffic across a LEO satellite constellation. We build production-grade software services and tools to automate fault detection, classification, and resolution at scale. Our team operates at the intersection of network operations and software development - monitoring laser link health in real time, automating incident workflows, and driving cross-functional improvements with hardware and software engineering teams.