QA Engineer II

Britannica Education; United States; À distance; USD 90 000 - 120 000; Plein temps

Résumé du poste

Britannica Education is seeking a QA Automation Engineer to design, implement, and maintain automated tests for functional, regression, API, and performance scenarios. The role emphasizes building robust test suites and scalable automation frameworks to ensure software reliability across platforms.

You will collaborate with developers, product managers, and QA to embed testing early in the lifecycle, integrate tests into CI/CD pipelines, and support rapid, high-quality releases.

Description du poste

• Develop, maintain, and execute automated test scripts for functional, regression, API, and performance testing using Python, Java, or similar programming languages.
• Build and enhance automation frameworks using Object-Oriented Programming principles with tools such as Selenium, Playwright, or similar automation frameworks.
• Design scalable and maintainable test automation frameworks that support parallel execution, cross-browser testing, and distributed test runs.
• Integrate automated tests into CI/CD pipelines to ensure continuous validation of software deployments using tools such as GitHub Actions, CircleCI, or similar platforms.
• Collaborate with developers, product managers, and QA team members to incorporate automated testing into the software development lifecycle and ensure early detection of defects.
• Conduct API testing and validation using tools such as Postman and implement automated API test suites for backend services.
• Automate mobile application testing using Appium or similar mobile automation frameworks.
• Perform load and performance testing using tools such as Apache JMeter, Locust, Siege, or similar technologies to ensure system scalability and reliability.
• Track, report, and manage defects using issue tracking systems such as Jira, Confluence, or similar collaboration tools. Demonstrate leadership and proactive ownership.
• Support testing of AI-powered features such as chatbot responses and conversational flows, evaluate LLM outputs for accuracy, and leverage AI-assisted development tools such as GitHub Copilot, Cursor, local LLM models, or similar platforms for code and test automation generation.
• Work with other engineers by sharing automation best practices, reviewing automation code, and helping improve overall test coverage and framework quality.