Software Dev. Engineer in Test, Alexa Shopping-Core

We are looking for a passionate and skilled Software Development Engineer in Test (SDET) to join the Rufus Quality Engineering team. Rufus is Amazon's conversational AI shopping assistant, and as an SDET on this team, you will play a critical role in building scalable test automation frameworks, enabling Continuous Deployment (Full CD), and driving quality excellence across Rufus services. This role is ideal for engineers who thrive at the intersection of software development and quality engineering — building tools, frameworks, and intelligent systems that empower developers to ship high-quality features at speed. Key job responsibilities Alexa is a strategic investment for Amazon, and we're building AI-powered shopping experiences that help millions of customers save time and money every day. The Alexa Shopping team is reimagining how customers discover products, manage their shopping lists, buy everyday essentials and groceries, and make confident purchase decisions through the power of voice, touch, and Generative AI. We are seeking the industry's best to help us create new ways to interact, search, and shop. Join us, and you'll take part in changing the future of everyday life. The Alexa Shopping group is seeking a Software Development Engineer in Test to build the quality automation that our entire shopping ecosystem depends on. Shopping is scaling from dozens of customer experiences to several hundred, across a widening set of surfaces — voice, visual, and touch, on Echo devices, Fire TV, web, and headless — and generative interactions have made manual validation both slower and less conclusive. You'll own the frameworks, tooling, and agentic systems that let every Shopping team prove quality on its own, before a change reaches customers. This is a horizontal role: you build once and every vertical benefits. A day in the life Test Automation Framework Development: Design, build, and maintain scalable, reusable test automation frameworks for Shopping's backend services, multi-modal device experiences (voice, visual, touch), and GenAI response validation. Tool Development: Build and maintain internal testing tools that enable SDEs to self-serve test authoring, execution, and quality validation. GenAI Quality Validation: Develop testing strategies and tooling for validating generative AI outputs, including prompt evaluation, response quality benchmarking, hallucination detection, and regression testing. Autonomous Test Generation: Contribute to agentic AI systems for traffic-weighted test generation, intelligent failure analysis, and predictive quality modeling. Quality Gates: Embed coverage into the release path through pipeline-blocking quality gates and automated go/no-go evaluation. Collaboration: Partner with feature teams to embed quality earlier in the development lifecycle and influence testability upstream, reducing production escapes.

We're a central platform team, not embedded QA. We own Alexa Shopping's quality automation framework, the org's QA bar and coverage methodology, self-service enablement for every vertical, and the production feedback loop that keeps our test coverage sharpening itself against real customer behavior. We're force multipliers, we favor reuse over rebuild, and we care deeply about craft.