Description
Amazon QuickWork is an AI-powered intelligent work companion that helps knowledge workers manage their digital workload — connecting Slack, Email, Calendar, and local files into a unified desktop experience. We are looking for a Software Development Engineer in Test (SDET) who is passionate about quality, automation, and building robust test infrastructure at scale. In this role, you will design, develop, and maintain automated testing frameworks and tools that ensure the reliability, performance, and quality of QuickWork's cross-platform application, AI agent pipelines, and integration connectors. You will work closely with engineering teams to define quality standards, drive test automation, and enable faster delivery cycles while maintaining high customer trust.
Key job responsibilities
1. Test Automation & AI Integration
- Design and implement AI-powered frameworks to systematically migrate manual test cases to automated solutions
- Leverage generative AI to accelerate test case generation, maintenance, and optimization
- Build intelligent test frameworks that adapt to platform changes and reduce maintenance overhead
2. Pipeline Development & Infrastructure
- Architect and develop fully automated multi-stage CI/CD pipelines for comprehensive test execution
- Implement static analysis tools and frameworks for early defect detection
- Architect and develop scalable test automation infrastructure for desktop (Electron), web, mobile, and API-based services, covering functional, integration, and end-to-end testing
- Create scalable testing infrastructure that supports parallel execution and rapid feedback cycles
3. Quality Assurance Focus Areas
- Develop comprehensive functional test suites ensuring feature correctness across the rendering stack
- Build UI consistency validation frameworks that verify adherence to UX standards and design specifications
- Implement performance testing frameworks measuring memory consumption, CPU utilization, and rendering fluidity
4. Technical Leadership
- Drive testing strategy and best practices for test design, code review testing standards, and quality metrics
- Collaborate with software engineers to ensure testability is built into system design
- Mentor team members on test automation techniques and AI-assisted testing approaches
- Contribute to the continuous improvement of development and testing processes.
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.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
Key job responsibilities
1. Test Automation & AI Integration
- Design and implement AI-powered frameworks to systematically migrate manual test cases to automated solutions
- Leverage generative AI to accelerate test case generation, maintenance, and optimization
- Build intelligent test frameworks that adapt to platform changes and reduce maintenance overhead
2. Pipeline Development & Infrastructure
- Architect and develop fully automated multi-stage CI/CD pipelines for comprehensive test execution
- Implement static analysis tools and frameworks for early defect detection
- Architect and develop scalable test automation infrastructure for desktop (Electron), web, mobile, and API-based services, covering functional, integration, and end-to-end testing
- Create scalable testing infrastructure that supports parallel execution and rapid feedback cycles
3. Quality Assurance Focus Areas
- Develop comprehensive functional test suites ensuring feature correctness across the rendering stack
- Build UI consistency validation frameworks that verify adherence to UX standards and design specifications
- Implement performance testing frameworks measuring memory consumption, CPU utilization, and rendering fluidity
4. Technical Leadership
- Drive testing strategy and best practices for test design, code review testing standards, and quality metrics
- Collaborate with software engineers to ensure testability is built into system design
- Mentor team members on test automation techniques and AI-assisted testing approaches
- Contribute to the continuous improvement of development and testing processes.
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.
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
Basic Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
- Bachelor's degree in computer science or equivalent
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 - 143,700.00 - 194,400.00 USD annually
