Software Development Engineer, Platform Engineering & Services

- 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
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- 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

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
Ever wondered how Amazon keeps hundreds of fulfillment centers running at peak performance across the globe? That's where our team comes in.

We build the real-time data platform that gives Amazon's fulfillment network end-to-end visibility — from conveyor belts and robotic systems to software applications and workforce operations. Think of it as the central nervous system for Amazon's physical logistics: we ingest millions of data points per second from equipment and systems across 100+ facilities worldwide, store years of historical data without sacrificing query speed, and serve it all up through dashboards, APIs, and SDKs that help teams detect problems before they happen, optimize processes in real time, and make smarter decisions about how to move packages faster.

What makes this role different:

This isn't a typical web services role. You'll work at the intersection of physical operations and cloud-scale software — solving problems where hardware unpredictability meets distributed systems challenges. The data you help collect and serve directly impacts whether a package gets delivered on time, whether equipment gets serviced before it breaks, and whether an entire facility runs smoothly on its busiest day of the year.

You'll own problems end-to-end, from system design through production operations, and your work will be visible in real-world outcomes across Amazon's global logistics network.

Key job responsibilities
You'll design and build distributed systems that operate at massive scale — processing high-velocity time-series data streams, building storage layers that balance performance with cost, and creating APIs that make complex data accessible to thousands of users. Right now, we're in the middle of a major storage architecture migration, rethinking how we handle hot data to improve reliability and reduce latency. You'll also have the opportunity to work on data ingestion pipelines that collect signals from industrial hardware, robotics, and software systems — and turn that raw telemetry into actionable insights.