Top Remote QA Jobs in Louisville, KY

Lead QA for Salesforce-native products: create test plans and automated frameworks (Playwright), run manual/automated and performance tests, manage large Salesforce test data sets, integrate tests into CI/CD, identify bottlenecks, and mentor junior QA engineers while collaborating cross-functionally.

Own quality for a large mobile platform through hands-on exploratory/manual testing and automation advocacy. Shift testing left with dev/product/design, build and scale automation frameworks (Appium/Java/Cucumber), push coverage into unit/component/contract layers, use AI-augmented tooling for test design and triage, and influence distributed teams to increase automation and improve QA processes.

Perform manual and automated testing of web and mobile apps; design and run test plans, convert tests to TypeScript+Playwright automation, integrate tests into CI/CD, use AI-assisted tools to author and maintain tests, perform API and SQL backend testing, track defects in Jira/Zephyr, and collaborate with engineering teams to improve QA processes.

The QA Engineer will analyze test requirements, automate testing, maintain frameworks, troubleshoot issues, and participate in design discussions, ensuring quality in a dynamic environment.

Design and execute manual and automated tests for web applications, build and maintain test frameworks and CI pipelines, identify and track bugs, validate fixes, collaborate with product and engineering, participate in agile ceremonies, and continuously improve QA processes and tooling to ensure high-quality releases.

The QA Tester Lead is responsible for the test strategy, management of QA teams, test execution, defect resolution, and stakeholder communication throughout the testing lifecycle.

The QA Tester will ensure software functionality through testing, create manual and automated test cases, and collaborate with the development team to resolve issues.

Perform manual functional, regression, smoke, and acceptance testing; document bugs and test plans; test AI-enabled features and use AI tools to improve QA workflows; collaborate with product, development, and design; prioritize high-risk areas and communicate status/risks; continuously improve QA processes and own execution.