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. Amazon LEO will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.
Requirements
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 8+ years of leading the definition and development of multi tier web services experience
- 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
Responsibilities
- Own the software roadmap for calibration, validation, and system performance tools across phased array systems, RF communications, and customer/satellite terminals.
- Build and lead a team of Software Development Engineers and Systems Development Engineers; set goals, define growth plans, and maintain a high engineering bar for design, code quality, and operations.
- Architect and deliver software frameworks that automate performance testing and calibration of phased array antenna systems, from lab benches and chambers to manufacturing and field deployments.
- Partner with phased array design, RF communications, EMI/EMC, and calibration/validation teams to translate system requirements and link budgets into concrete software and data problems, including KPIs, acceptance criteria, and automated checks.
- Lead the design of data ingestion, storage, and analytics pipelines that collect results from test racks, chambers, and deployed terminals, enabling deep analysis, dashboards, and visualizations of array and RF performance.
- Collaborate closely with data/ML and system engineers to embed anomaly detection, fleet-wide monitoring, and ML-based diagnostics into calibration and validation workflows.
- Ensure your team delivers reliable, secure, and scalable services by driving best practices in SDLC, CI/CD, testing, observability, and operations, including on-premise and AWS-based solutions.
Other
- 3+ years of engineering team management experience
- 7+ years of working directly within engineering teams experience
- Experience partnering with product or program management teams
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers
- 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.
