Description

Shape how billions of customers experience Amazon. Weblab powers the A/B testing behind every major feature launch across Amazon.com, Prime, Alexa, and more—making it one of the most critical services in the company. Your favorite feature on the Amazon.com website or the iOS and Android apps was probably tested and launched using Weblab. Amazon retail, Music, Prime, Alexa, Video, and many other groups use Weblab every day to change how the world shops, sells, reads, learns, and plays.

We are seeking a skilled and creative software engineer to help shape the future of Amazon's customer, vendor, seller, and partner experiences.

Key job responsibilities
You have an entrepreneurial spirit and want to make a big impact on Amazon and its customers. You are excited about systems programming and building out one of the largest control planes at Amazon. You invent simple solutions to complex problems working on high-performance and high-scale systems. You develop strong working relationships and thrive in a collaborative team environment across engineering, science and product. You enjoy partnering with thousands of builder teams across Amazon.


- Design and implement high-performance SDKs in Rust and C++
- Build and maintain control plane infrastructure serving thousands of services
- Collaborate with partner teams to integrate Weblab into their systems
- Contribute to architectural decisions for AI-agent compatibility

A day in the life
Weblab helps Amazon make better decisions by powering A/B-testing in thousands of systems across Amazon. In the WeX team, we provide the technology and integration that builders need within their environments including SDKs, MCP and daemons. As a team, we look out for one another and push towards simple solutions that can scale massively and be operated effectively at that scale.

About the team
A few problems we'll be working on:
- Using systems programming languages like Rust and C++ to create a control plane that spans mobile, backend and desktop services.
- Integrating thousands of services through MCP, APIs and SDKs.
- Thinking ahead to how to provide a safe control plane within a world of AI agents.
- Adding features to support new forms of experimentation such as adaptive experimentation driven by traditional methods and AI