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Senior Quality Engineer, Alexa Enterprise
Seattle, Washington, USAPosted Yesterday
Full-timeonsite
Job Description
Are you passionate about defining what quality means for an entirely new category of enterprise AI product? Do you want to own test strategy in an environment where customer deployments are the ultimate validation? The Alexa Enterprise team is looking for a Senior Quality Assurance Engineer who thrives in a startup-style environment, builds test frameworks from scratch, and is energized by the challenge of ensuring quality across cloud services, device software, and real-world customer integrations.
In this role, you’ll define and own the quality strategy for a platform that enterprise customers across healthcare, energy, retail, and insurance depend on. You’ll work closely with SDEs, product managers, and customers to understand how the platform is deployed in the field — then build the test approaches, automation, and certification criteria that ensure it works reliably in those environments. Your test strategy will be informed by real customer deployments and integration patterns, not just internal specifications. We believe this is how quality engineering evolves — and we’re already seeing it happen here.
We’re a small, fast-moving team building AI-powered solutions at the intersection of Alexa AI capabilities and AWS cloud services. Our customers are deploying in environments where the integration challenges are real, the feedback loops are immediate, and quality is measured by what works in the field.
Key job responsibilities
In this role, you will:
• Define and own the end-to-end quality strategy for the Alexa Enterprise platform — spanning cloud services, device software, AI integrations, and customer-facing experiences
• Design and build test automation frameworks from scratch to support rapid iteration across a full-stack platform (backend services, frontend, AWS infrastructure, device layer)
• Work directly with enterprise customers and field engineers to understand real-world deployment patterns, failure modes, and integration challenges — then translate those into test coverage
• Create benchmarking standards, test KPIs, and certification criteria that ensure platform reliability across customer verticals
• Develop QA approaches that cover the full system: cloud services, streaming audio, device interactions, authentication flows, and third-party agent integrations
• Find, isolate, document, and track bugs through resolution — be a vocal proponent for quality in every phase of development
• Collaborate with SDEs on testability of new features, participate in design reviews, and drive engineering best practices around test coverage and operational readiness
• Mentor QA engineers and SDEs on quality standards, testing methodologies, and automation best practices
• Organize data collection and analysis to inform pass/fail criteria for platform readiness and customer deployments
A day in the life
As a Senior QAE on the Alexa Enterprise team, your morning might start analyzing failure patterns from a pilot customer’s deployment — an authentication flow is failing intermittently and you need to determine whether it’s an edge case in the platform or a configuration gap in their environment. You design a targeted test scenario to reproduce it reliably and add it to the automation suite. Mid-morning, you’re reviewing a new feature’s testability with the dev team — pushing for better observability hooks before it ships. After lunch, you’re updating certification criteria based on patterns you’ve seen across three customer integrations, then presenting quality metrics to the team and making the case for a stability bar that blocks the next release until a flaky interaction is resolved.
About the team
The Alexa Enterprise team builds AI-powered solutions for businesses. We work with enterprise customers across healthcare, energy, retail, and insurance to deploy solutions that transform operations. Our team operates at the intersection of Alexa AI capabilities and AWS cloud services, partnering closely with AWS sales, product, and specialist teams to deliver customer outcomes. Engineers on this team have real ownership — from test strategy through production reliability — and the opportunity to shape quality standards for a platform in its early stages.
Are you passionate about defining what quality means for an entirely new category of enterprise AI product? Do you want to own test strategy in an environment where customer deployments are the ultimate
- 8+ years of quality assurance engineering experience
- 5+ 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 manual testing
- Experience in automation testing
- 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.
USA, WA, Seattle - 133,300.00 - 180,300.00 USD annually
In this role, you’ll define and own the quality strategy for a platform that enterprise customers across healthcare, energy, retail, and insurance depend on. You’ll work closely with SDEs, product managers, and customers to understand how the platform is deployed in the field — then build the test approaches, automation, and certification criteria that ensure it works reliably in those environments. Your test strategy will be informed by real customer deployments and integration patterns, not just internal specifications. We believe this is how quality engineering evolves — and we’re already seeing it happen here.
We’re a small, fast-moving team building AI-powered solutions at the intersection of Alexa AI capabilities and AWS cloud services. Our customers are deploying in environments where the integration challenges are real, the feedback loops are immediate, and quality is measured by what works in the field.
Key job responsibilities
In this role, you will:
• Define and own the end-to-end quality strategy for the Alexa Enterprise platform — spanning cloud services, device software, AI integrations, and customer-facing experiences
• Design and build test automation frameworks from scratch to support rapid iteration across a full-stack platform (backend services, frontend, AWS infrastructure, device layer)
• Work directly with enterprise customers and field engineers to understand real-world deployment patterns, failure modes, and integration challenges — then translate those into test coverage
• Create benchmarking standards, test KPIs, and certification criteria that ensure platform reliability across customer verticals
• Develop QA approaches that cover the full system: cloud services, streaming audio, device interactions, authentication flows, and third-party agent integrations
• Find, isolate, document, and track bugs through resolution — be a vocal proponent for quality in every phase of development
• Collaborate with SDEs on testability of new features, participate in design reviews, and drive engineering best practices around test coverage and operational readiness
• Mentor QA engineers and SDEs on quality standards, testing methodologies, and automation best practices
• Organize data collection and analysis to inform pass/fail criteria for platform readiness and customer deployments
A day in the life
As a Senior QAE on the Alexa Enterprise team, your morning might start analyzing failure patterns from a pilot customer’s deployment — an authentication flow is failing intermittently and you need to determine whether it’s an edge case in the platform or a configuration gap in their environment. You design a targeted test scenario to reproduce it reliably and add it to the automation suite. Mid-morning, you’re reviewing a new feature’s testability with the dev team — pushing for better observability hooks before it ships. After lunch, you’re updating certification criteria based on patterns you’ve seen across three customer integrations, then presenting quality metrics to the team and making the case for a stability bar that blocks the next release until a flaky interaction is resolved.
About the team
The Alexa Enterprise team builds AI-powered solutions for businesses. We work with enterprise customers across healthcare, energy, retail, and insurance to deploy solutions that transform operations. Our team operates at the intersection of Alexa AI capabilities and AWS cloud services, partnering closely with AWS sales, product, and specialist teams to deliver customer outcomes. Engineers on this team have real ownership — from test strategy through production reliability — and the opportunity to shape quality standards for a platform in its early stages.
Are you passionate about defining what quality means for an entirely new category of enterprise AI product? Do you want to own test strategy in an environment where customer deployments are the ultimate
- 8+ years of quality assurance engineering experience
- 5+ 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 manual testing
- Experience in automation testing
- 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