Quality Assurance Engineer I, Appstore

Looking for QA candidates experienced on testing applications on functional and non-functional areas [API,usability, security and performance] with a strong coding skills. QA Engineer would work with multiple stakeholders across functions and geographies for ensuring the quality of sync platform across array of supported devices.

Quality Assurance Engineers at Amazon test cutting edge applications and products at the user level and code level, both manually and using automated tools. Our QAEs are not pure black box testers, they are able to understand software internals, debug problems using log files, and write automated tests with scripting and/or user-level automated tools. QAEs at Amazon are excellent individual contributors capable of taking up tasks from start to completion with minimal help. QAEs would be responsible for understanding the domain and the product in detail and coming up with the test strategy/planning, coming up with the test cases, driving the test case sign-off processes with the stakeholders, contributing to code level Unit tests, test execution and reporting.

Key job responsibilities

Able to create and execute test strategy for testing major features, a small device, mid-size application, service, or other product including non functional use cases.

Work directly with Product Managers, Software development engineers, Technical Program Managers to build testable components

Ability to create automated tests that are maintainable and reusable which helps to identify bugs, and do not produce false positives.

Ability to work consistently on a high quality bar and provide process improvements across QA teams

Able to train new team members on team procedures

Basic Qualifications

1+ years of quality assurance engineering experience

Experience in manual testing

Experience in automation testing

Experience in UI and API automation testing (Selenium/SOAPUI)

Preferred Qualifications

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

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