Software Development Engineer

- 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
- Bachelor's degree in computer science or equivalent
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

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At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) solve complex problems and get to see the impact of their work first-hand. The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon.


Key job responsibilities
• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
• Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
• Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
• Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
• Design and code the right solutions starting with broadly defined problems.
• Work in an agile environment to deliver high-quality software.

About the team
The Selection team builds the engine behind Amazon's Subscribe & Save program — the system that decides which products qualify, in what form, and under what terms. Every week, it analyzes over 1 billion offers across 45M+ subscribers and 11 locales, running dozens of rules against 100+ fact types to turn raw signals into automated, auditable decisions.

What makes the work interesting is the frontier we keep pushing: making our decisions sharper and more personal — from broad categories, to individual products, to the context of a single customer. The scale is huge, the problems are rarely the same twice, and the impact is real.

If you're drawn to hard problems at scale — and want to see your work reach millions — this is a great place to build.