Amazon Quality Assurance Engineer Prime Member Growth 

United States, Washington, Seattle 

757576250

Key job responsibilities
Our QAEs test code at both the service and user level, using a variety of black box, gray box, and white box testing techniques. As a QA Engineer, you will innovate our test strategy across multiple dependencies, locales and device types and implement highly scalable automation to enable both UI (web and device level) and back end testing.You will work to be able to understand software internals, debug complex problems including performance bottlenecks, and write automated tests in and/or using existing automated tools.You must have experience in diagnosing project release problems and taking corrective action, such as escalating as needed, to resolve and achieve results. Our QAEs are also responsible for driving our software development process toward quality-centric methodologies and for reporting on test progress, metrics, and issues.As a quality assurance engineer, you will/may:
- Use technical knowledge to create, execute, and maintain test plans and automation involving one or more product components and/or features- Perform initial defect triage and root cause analysis, and escalate roadblocks/risks
- Troubleshoot automation failures and isolate bugs to help developers research the root cause of defectsKey job responsibilities
- 1+ years of experience working as a Quality Assurance Engineer
- Bachelor's or Master’s Degree in math/statistics/engineering
- Experience in manual testing
- Experience in automation testing
- Knowledge of test methodologies, software testing life cycle
- Experience with industry technologies (e.g., Selenium, Junit, TestNG, and other open source tools)A day in the life
Seattle, WA, USA

- 1+ years of quality assurance engineering experience
- Bachelor's degree
- Experience in manual testing
- Experience in automation testing
- Experience in automating using Selenium, TestNG

- Experience in API & Mobile testing
- Experience designing and planning test conditions, test scripts, and test data sets to ensure appropriate and adequate coverage and control