You will not do this alone. You will work closely with partner engineering teams across Amazon Leo. You will lead the system architecture of simulation tooling that spans multiple use cases and users, taking planning and simulation methods and making them faster, larger-scale, and production-ready, with the curiosity to engage with the substance of the problem rather than treat it as a black box.
Beyond the planning and simulation work, you will contribute across the other systems our team owns. Our portfolio spans capacity, demand, pricing, inventory, and reservations, and from time to time you will pick up work on any of them as priorities and dependencies shift, from backend services to data pipelines. You will both operate systems that produce commitments the business plans against and build new ones as Leo scales worldwide.
Key job responsibilities
Scale up and optimize the planning and simulation methods that turn satellite geometry and demand into capacity and coverage plans, improving their performance, scale, and fidelity.
Make large problems tractable through sound engineering: decomposition, precomputation, caching, and parallelism, proven out with measured results rather than intuition.
Build and operate the high-performance data and compute infrastructure (large-scale data stores, columnar query, batch fan-out) that lets planning run quickly.
Build systems that produce correct, trustworthy results, validating outputs against reference implementations and guarding the accuracy of numbers the business commits to.
Partner with the teams that model the network's capabilities and the teams that operate it in real time to move methods from demonstration toward production.
Contribute across the other planning systems our team owns, from backend services to data pipelines, as priorities and dependencies require.
Utilize AWS and other Amazon technologies to build highly available, scalable software services, and provide operational excellence including monitoring, alarming, and on-call ownership.
Export Control Requirements
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.
About the team
Our team is the engineering group within Global Business & Customer Operations (GBCO) for Amazon Leo. We own the systems that connect satellite network capacity to what customers can actually buy: capacity planning, demand planning, pricing, inventory, reservations, and the data platform that ties them together. We started focused on capacity planning and have grown our scope alongside the business, so there is real room to shape new systems as Leo expands globally. We value ownership, operational excellence, and engineers who think across system boundaries.
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
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 working effectively with science, data processing, and software engineering teams
Experience improving the performance and scale of computationally intensive systems or algorithms.
Exposure to optimization, simulation, or large-scale numerical or geospatial data processing, or an interest in developing depth in those areas.
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, BELLEVUE - 143,700.00 - 194,400.00 USD annually