Senior Quality Engineer (QE/SDET) – Web, Mobile Automation & AI Testing
Skills
About the role
Senior Quality Engineer (QE/SDET) – Web, Mobile Automation & AI Testing
Experienced Quality Engineer with 8+ years of expertise in designing and implementing automation solutions for web and mobile applications. Strong hands-on experience in Playwright, Appium, Selenium, API automation, and end-to-end quality engineering practices. Proven ability to build scalable automation frameworks, integrate automated testing into CI/CD pipelines, and drive quality initiatives across Agile environments.
Key Skills:
Web Automation: Playwright, Selenium WebDriver
Mobile Automation: Appium (Android & iOS), BrowserStack
Programming: TypeScript, JavaScript, Java, Python
API Testing: Playwright API, Postman, REST Assured
Framework Design: Page Object Model (POM), Data-Driven & Hybrid Frameworks
CI/CD: Jenkins, GitHub Actions, Azure DevOps
Version Control: Git, GitHub
Agile/Scrum Methodologies
SQL and Database Validation
AI & Modern Testing Experience:
Leveraging Generative AI tools (ChatGPT, GitHub Copilot) for test case generation, automation script development, and test data creation.
AI-assisted defect analysis, root cause identification, and risk-based testing.
Experience validating AI-powered applications, chatbots, and LLM-based workflows.
Prompt engineering for QA use cases and automation acceleration.
Key Responsibilities:
Developed and maintained scalable Playwright automation frameworks using TypeScript.
Automated web application testing including functional, regression, smoke, and end-to-end scenarios.
Designed and executed mobile automation suites for Android and iOS applications using Appium.
Implemented API automation and backend validation for enterprise applications.
Integrated automated test execution into CI/CD pipelines to support continuous testing.
Collaborated with cross-functional teams to define quality strategies and ensure high-quality product releases.
Analyzed test results, tracked defects, and drove resolution through close engagement with development teams.
Achievements:
Improved automation coverage across critical business workflows.
Reduced regression execution time through parallel execution and CI/CD integration.
Enhanced testing efficiency through AI-driven test design and automation practices.
Delivered high-quality releases with reduced production defects and improved release confidence.
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