Software Development Engineer (Payload SW), STAR (System Test Automation and Regression)

Amazon Leo is Amazons low Earth orbit satellite network delivering fast reliable internet connectivity to customers beyond the reach of existing networks.

Behind every satellite in our constellation is a payload-the communication system that makes connectivity possible. Before a single satellite reaches orbit its payload software must be validated stressed and proven through rigorous automated testing.

We are hiring a Software Development Engineer to build the automation that validates payload software at scale.

You will work at the intersection of satellite communication systems and software engineering developing frameworks that test how payload software manages signal routing beam forming frequency coordination and network handoffs. This is not black-box button-pushingyou will develop a deep understanding of how payload software operates then translate that understanding into automated test systems that catch defects before they reach orbit.

Our team builds the regression-testing automation that runs continuously as payload software evolves. Every code change every configuration update every firmware revision passes through the systems you build. Your work directly gates satellite production and launch readiness.

What Makes This Role Different
You will not just write test scripts. You will understand what the payload software doeshow it manages links allocates capacity handles interference and recovers from faultsand use that understanding to build automation that validates behavior across thousands of scenarios no human could execute manually. You will own the feedback loop between payload development and production readiness.

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
Design and develop automated test frameworks for satellite communication systems focusing on end-to-end validation and system integration testing of payload software.
Develop a working understanding of payload software architecturesignal processing chains protocol stacks resource management and fault handlingto write tests that exercise real operational scenarios.
Build CI/CD pipelines that trigger automated regression suites on every payload software change providing rapid feedback to development teams.
Collaborate with engineers across the organization (payload software systems engineering RF operations) to gather requirements define test strategies and identify gaps in coverage.
Develop complex test sequences that coordinate and synchronize equipment and services across multiple layers to verify function and performance of satellite hardware and software.
Build scalable automation solutions that reduce manual testing effort and accelerate release cycles.
Create dashboards and monitoring tools for system health test pass rates and data pipeline integrity.
Analyze test results identify failure patterns and implement improvements to increase test coverage and reliability.
Collaborate with internal and external customers to define and implement system architectures for integrated test venues.
Participate in design reviews code reviews and technical discussions to deliver high-quality software.



A day in the life
You start by reviewing overnight regression results from your automated framework200 test cases ran against the latest payload software build. Three failures need triage: one is a known environment issue one reveals a real regression in beam handoff logic and one exposes a gap in your test coverage. You file the regression update your framework to cover the gap then join a design review with the payload software team to understand an upcoming feature change and plan test coverage ahead of implementation. After lunch you pair with a systems engineer to extend your hardware-in-the-loop test bench to support a new antenna configuration. You push your changes through CI watch the pipeline go green and update the team dashboard before end of day.

About the team
The STAR (System Test Automation and Regression) team for payload test automation builds the regression-testing backbone for payload software. We own the frameworks pipelines and infrastructure that validate every payload software release before it reaches a satellite. We operate at the boundary between software engineering and satellite systemsour engineers understand both domains and bridge them through automation.

- 3 years of non-internship professional software development experience
- 3 years of programming with at least one modern language such as C C# Java Python Golang PowerShell Ruby experience
- 3 years of designing or architecting (design patterns reliability and scaling) of new and existing systems experience
- Experience building test automation frameworks and tools

- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Bachelors degree or above in computer science electrical engineering or related field
- Experience building data pipelines or automated ETL processes
- Experience troubleshooting and debugging technical systems or experience demonstrating software engineering skills in a previous intership work experience coding competitions or publications and experience with automation and any version control tools
- Knowledge of networking including the OSI model and how satellite payload communication systems operate
- Experience with hardware-in-the-loop (HIL) test environments
- Familiarity with RF systems signal processing or satellite communication protocols

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 for more information. If the country/region youre applying in isnt 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 CA NORTHRIDGE - 143700.00 - 194400.00 USD annually
USA CA San Diego - 143700.00 - 194400.00 USD annually
USA CA Sunnyvale - 165200.00 - 223600.00 USD annually
USA WA Redmond - 143700.00 - 194400.00 USD annually