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AmazonInternet

System Automation Lead, AWS Quick Desktop

United States , N.reading
Salary: $133,300 – $180,300 Annually
Full-time

DESCRIPTION:

Amazon is seeking an exceptional Systems Quality lead to own and drive infrastructure automation; develop and manage tools, tests, platforms while maintaining continuous operation of the system under test and system enabling tests.

You will build deep partnerships with internal robotics teams across HW/SW and Systems. This role requires deep knowledge and experience using Amazon fulfillment technology and enable automation managing infrastructure. You will partner with engineering leaders across the robotics organization, shape our product architecture for testability and automation.



Key job responsibilities
- Enable Infrastructure Automation of DUT and system enabling Test
- Enable no human-in-the-loop automation
- Enable building support team to manage state-of-the-art labs and their associated infrastructure
- Enable this infrastructure for CICD
- 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.

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, MA, N.Reading - 133,300.00 - 180,300.00 USD annually
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