Software Development Engineer in Test, Conversational Shopping Amazon

Software Development Engineer in Test, Conversational Shopping Overview

• Company Name: Amazon
• Job Role: Software Development Engineer in Test, Conversational Shopping
• Qualifications: Not specified
• Category: I
• Job Type: Full Time
• Location: London, England, GBR

What we're looking for

• Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
• Experience building test automation frameworks and tools

Nice to have

• Knowledge of overall system architecture, scalability, reliability, and performance in a database environment
• Experience with security in service-oriented architectures and web services

The role

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.

What you'll do Key job responsibilities

Test Automation Framework Development: Design, build, and maintain scalable test automation frameworks for Rufus backend services, frontend applications, and GenAI model validation.

Tool Development: Build and maintain internal testing tools that enable SDEs to self-serve test execution and quality validation.

GenAI Quality Validation: Develop testing strategies and tooling for validating generative AI outputs, including prompt engineering evaluation, model response quality benchmarking, and regression testing.

Autonomous Test Generation: Contribute to the development of agentic AI systems for autonomous test generation, intelligent failure analysis, and predictive quality modeling.

Collaboration: Partner with feature teams to embed quality earlier in the development lifecycle, reducing production escapes through proactive testing and quality gates.

Visa sponsorship: check with employer