Quality Assurance Engineer-II, Alexa - PaSS

Alexa+ team is a group of talented technical professionals that are empowered and driven to build world class experiences for customers. We are looking for a “Quality Assurance Engineer” to work on the moderate to complex solutions and services via automation. Ideal candidate should have proven expertise in scalable systems, working across technologies, and mentoring junior engineers.

Key job responsibilities A QAE-II at Amazon owns end-to-end test strategy for one or more product areas, designing and building automation frameworks that scale across services and reduce manual regression effort. Drive test coverage improvements by identifying gaps, performing risk-based prioritization, and implementing automated solutions integrated into CI/CD pipelines. The role requires owning release qualification and production sign-off, ensuring features meet the quality bar before launch. Partner with SDEs, SDMs, and PMTs during design reviews to influence testability decisions early in the development cycle, and provide quality guidance during operational readiness assessments. QAE-II defines and tracks quality metrics such as defect escape rate, automation coverage, and test pass rates, using data to drive decisions and process improvements. Root cause analysis for production issues and implementing preventive measures fall within our scope. Mentor QAEs and QATs on automation best practices, test methodologies, and tooling. The key differentiator at this level is operating independently on ambiguous problems, owning strategy rather than just execution, and influencing quality standards across the team or org with broader scope and minimal guidance.

Basic qualifications

• Experience as QA lead on medium to large sized projects
• 4+ years of technical work experience
• Experience with automation, testing, or monitoring framework development
• 4+ years of quality assurance engineering experience.
• Expertise with scripting or coding in at least one programming or scripting language
• Strong understanding of computer science fundamentals
• Strong analytical and problem solving skills
• Demonstrable experience in writing clean code quickly

Preferred qualifications

• Experience with at least one automated test framework like Selenium or Appium
• Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality