QA Automation Engineer (41095)

As a QA Automation Engineer, you’ll create and maintain automated tests for web and API applications using Playwright, Selenium, Cypress, and AI-assisted tools like GitHub Copilot, Cursors, and GenAI to speed up development. Integrate tests into CI/CD pipelines, and collaborate with developers and product teams to identify high-value scenarios. Ideal candidates have 5+ years of hands-on QA Automation experience, programming skills (C#, Python, JS/TS), expertise in API testing, familiarity with CI/CD, version control, and SQL.

🚀 Project
- develop and maintain automated test cases for web and API-based applications using tools such as Playwright, and AI-powered solutions (GitHub Copilot, Cursors, GenAI)
- expedite test script creation and execution by leveraging AI and code-assist tools
- integrate automated tests into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOp) for continuous testing and rapid feedback
- use dotenv for environmental-specific configuration management (API keys, endpoints, credentials)
- work closely with developers, testers, and product teams to define automation strategies and high-value test scenarios
- contribute to Agile ceremonies (stand-ups, sprint planning, demos, retrospectives) and align QA efforts with DevOps goals
- log and track bugs using tools like Azure DevOps, assisting in root cause analysis and resolution

🎯 Skills
- minimum 5 years of hands-on experience in QA Automation
- proficiency in at least one scripting/programming language (C#, Python, JavaScript, TypeScript)
- hands-on experience with Playwright, Selenium, Cypress and Node.js for test automation
- experience with AI-powered tools (GitHub Copilot, Cursors, GenAI) for code generation, test optimization, and intelligent test selection
- familiarity with dotenv for managing environment variables and configuration
- experience integrating automated tests into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps, GitLab CI)
- API automation expertise using Postman, RestAssured, or GraphQL
- solid understanding of software testing principles, Agile methodologies, and SDLC
- experience with version control systems (Git)
- familiarity with SQL and database validation