Quality Assurance Engineer II, Core Shopping
Summary
Quality Assurance Engineer II at Amazon validating core shopping features like Off-Amazon Selection and Details Page, building automation frameworks, and owning release readiness for high-visibility launches.
Key job responsibilities
• Own test strategy end-to-end for assigned features and programs — translating ambiguous requirements (BRDs, Figma designs, PRDs) into comprehensive test plans, coverage benchmarks, and sign-off criteria
• Design, build, and maintain automation frameworks and automated regression suites across web and device platforms, and integrate automated quality gates into CI/CD pipelines
• Lead functional, regression, integration, performance, and exploratory testing across multiple devices, browsers, and locales
• Own the defect lifecycle — triage, prioritize, perform root-cause analysis, and partner with SDEs to drive resolution, ensuring defects are reproducible and well-documented before escalation
• Hold independent GO/NO-GO authority, assessing release readiness and clearly communicating quality risks to leadership under time pressure
• Set up and manage complex test environments, test data, and access/configuration requirements independently
• Define and track quality metrics (defect escape rate, coverage, cycle time, pass rates) and surface systemic gaps and risks across supported business lines
• Mentor and provide technical guidance to QAE I and QA technicians, reviewing test cases, automation, and defect analysis to raise the team's quality bar
A day in the life
As a QAE II on the OPTIMA team, you own quality end-to-end. Your day might start at stand-up, setting testing direction and unblocking junior engineers across locales. You'll translate ambiguous requirements into a comprehensive test strategy, architect automation frameworks, and wire quality gates into CI/CD pipelines. When defects surface, you drive root-cause analysis and partner with SDEs to resolution. You'll hold independent GO/NO-GO authority, assessing release readiness and communicating risks to leadership under pressure while mentoring the team and tracking quality metrics. It's a fast-paced, high-ownership environment where your judgment determines whether experiences used by millions ship.