Software Development Engineer, Amazon Leo Ground Systems Engineering
AI in this role
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, develop, deploy, and support software that keeps a globally deployed fleet of ground terminals healthy and available.
• Build and scale data pipelines and monitoring that enable condition monitoring, predictive maintenance, and automated remediation.
• Develop automation for the integration, test, calibration, and release of ground systems software.
• Own the full software development lifecycle, including design, testing, deployment, mission integration, and operational support.
A day in the life
In this role as a Software Development Engineer, you will design, implement, optimize, and operate systems critical to the uptime and performance of Leo ground terminals. Your contributions will have a direct impact on customers around the world.
About the team
The Leo Ground Systems Engineering team is responsible for the development, deployment, and long-term performance optimization of the Leo satellite Gateway and Telemetry, Tracking, and Command (TT&C) terminals located around the world. These terminals include full-motion parabolic antennas, radio frequency spectrum monitoring, terminal monitoring and control, and fault management systems. These software-driven distributed systems form the communications backbone for the Leo constellation and must provide the world-class reliability, uptime, and performance our customers expect from Amazon.
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
- Experience programming with at least one software programming language
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
- Experience with distributed systems and a mix of hardware/software troubleshooting
- Experience building data pipelines or services on AWS (e.g., DynamoDB, record streaming, data lakes) with Python
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
How we rate this
Software Development Engineer, Amazon Leo Ground Systems Engineering at Amazon rates 31 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.
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. Open the description and count.
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