Sr. Quality Assurance Engineer, AWS Quick Desktop

Amazon Quick Desktop is an AI-powered intelligent work companion that connects knowledge workers' digital tools — Slack, Email, Calendar, local files, and enterprise connectors — into a unified desktop experience. We are looking for an exceptional Senior Quality Assurance Engineer to own and drive the end-to-end quality strategy for Quick Desktop across macOS, Windows, IOS, Android, and web platforms. In this role, you will design and implement state-of-the-art test automation frameworks, establish quality metrics and best practices, and build AI-powered evaluation systems that ensure our AI agent workflows, connector integrations, and desktop application deliver a reliable, high-quality customer experience. You will work closely with SDEs, SDETs, SDMs, and product teams to embed quality throughout the development lifecycle — from design reviews through production monitoring.

Key job responsibilities
Own end-to-end quality strategy — Define and drive the quality assurance approach for Quick Desktop, covering functional, integration, performance, and security testing across macOS and Windows platforms

Design and build test automation frameworks — Architect scalable, reusable automation infrastructure for desktop (Electron), API, and connector integration testing that enables rapid, confident releases

Drive AI/agent quality evaluation — Develop evaluation frameworks for LLM-based agent workflows, including correctness, latency, hallucination detection, and reliability testing for scheduled agents, chat interactions, and tool execution pipelines

Establish quality metrics and reporting — Define and track comprehensive quality metrics (defect density, test coverage, escape rate, mean time to detect); create dashboards and reports that drive data-informed decisions

Lead cross-functional quality initiatives — Collaborate with engineering, product, and design teams to ensure testability is built into architecture from day one; influence design reviews with a quality-first perspective

Connector and integration testing — Design test harnesses and contract tests for Slack, Outlook, Teams, and other third-party connector integrations, including mock services and fault injection

Mentor and raise the bar — Establish testing best practices across the team; mentor QAEs and SDETs; conduct test plan reviews; foster a culture of quality ownership among all engineers

Anticipate future testing needs — Evaluate emerging tools and methodologies (AI-driven testing, synthetic test generation, LLM-as-judge evaluation) and proactively build solutions to address upcoming challenges

About the team
We're a small, high-ownership team building an AI-native desktop product from the ground up. Our philosophy is simple: we use what we build. Every day, the team relies on our own product to manage tasks, triage notifications, draft documents, and stay organized — if something doesn't work for us, we fix it before it ships to anyone else.

The team spans applied science and engineering, and we operate more like a startup than a large org. You'll work closely with scientists on memory systems and retrieval, with frontend engineers on the desktop experience, and directly with customers who use the product daily. We value end-to-end ownership, strong opinions loosely held, and shipping delightful experiences over shipping features.

We believe trust is earned through safety — our architecture is designed with least-privilege principles from the ground up, giving users full transparency and control over what the AI can see and do. If you care about building AI systems that are genuinely useful and responsible, you'll fit right in.

Basic Qualifications

- 6+ years of quality assurance engineering experience
- 4+ years of delivering test frameworks, test tools, leading the QA projects and initiatives experience
- Knowledge of QA methodology and tools, with demonstrated experience in an QAE role
- Experience in automation testing
- Experience in manual testing

Preferred Qualifications

- 2+ years of UI Automation (preferably on mobile platforms) experience
- Knowledge of at least one modern object-oriented programming language such as C++, Java, Objective C

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, Seattle - 133,300.00 - 180,300.00 USD annually