System Automation Lead, AWS Quick Desktop

About the role

Amazon is seeking an exceptional Systems Quality Lead to own and drive infrastructure automation; develop and manage tools, tests, and platforms while maintaining continuous operation of the system under test and system-enabling tests. You will build deep partnerships with internal robotics teams across hardware, software, and systems. This role requires deep knowledge and experience using Amazon fulfillment technology to enable automation managing infrastructure. You will partner with engineering leaders across the robotics organization to shape product architecture for testability and automation.

Responsibilities

• Enable infrastructure automation of devices under test (DUT) and system-enabling tests
• Develop no human-in-the-loop automation
• Build and support a team to manage state-of-the-art labs and their associated infrastructure
• Enable this infrastructure for continuous integration and continuous deployment (CI/CD)
• Own end-to-end quality strategy
• Design and build test automation frameworks
• Drive AI/agent quality evaluation
• Establish quality metrics and reporting

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.

Requirements

• 6+ years of quality assurance engineering experience
• 4+ years of delivering test frameworks, test tools, leading QA projects, and initiatives
• Knowledge of QA methodology and tools, with demonstrated experience in a 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, or Objective-C

Pay

USA, MA, North Reading - $133,300.00 - $180,300.00 USD annually

Benefits

• Sign-on payments and restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription, basic life & AD&D, and optional supplemental life plans)
• Employee Assistance Program (EAP) and mental health support
• Medical advice line
• Flexible Spending Accounts
• Adoption and surrogacy reimbursement coverage
• 401(k) matching
• Paid time off
• Parental leave

Learn more about our benefits at amazon.jobs/en/benefits.