Senior QA Analyst

1. AI-Assisted Test Design & Execution
2. Playwright-Based Test Automation
3. Test Planning & Functional QA
4. Web, Responsive & User Experience Testing
5. Defect Management & Cross-Functional Collaboration

Additional Must have Responsibilities

1. • Leverage AI tools such as Claude, ChatGPT, or equivalent AI assistants as part of day-to-day QA activities.
   • Use AI to analyze requirements, generate and refine test scenarios, identify edge cases, generate test data, analyze defects, and improve testing efficiency.
   • Validate AI-generated outputs rather than blindly relying on them.
   • Develop, maintain, and execute Playwright-based automated tests for functional and regression coverage.
   • Use AI coding/testing assistants to accelerate automation development and improve automation coverage.
   • Ensure automated tests remain aligned with verified application behavior and requirements.
   • Translate requirements, user stories, and engineering notes into structured test scenarios, test cases, and test plans.
   • Perform functional, integration, regression, exploratory, and release testing.
   • Use requirements/tickets as the source of truth and avoid making assumptions about intended behavior.
   • Test content-heavy web applications across desktop, tablet, and mobile.
   • Validate search, navigation, content rendering, filters, editors, threads, comments, notifications, links, permissions, and other user journeys.
   • Identify usability, functional, content, and responsive issues.
   • Identify, reproduce, document, and track defects with clear steps, expected vs. actual results, severity, and supporting evidence.
   • Work closely with Product and Engineering teams to clarify requirements, resolve defects, address blockers, and support release readiness.
   • Clearly distinguish confirmed defects from requirement/design ambiguity and escalate where clarification is required.

Top 5 — Good to Have Responsibilities

1. AI Agentic QA & Workflow Development
   • Experience creating or using AI-powered QA workflows/agents for requirement analysis, test generation, UI exploration, test-data generation, defect analysis, or test-result analysis.
   • Exposure to Playwright MCP or similar agentic testing approaches.
2. API & Technical Testing
   • Experience with API testing and browser Developer Tools.
   • Ability to inspect network requests, API responses, console errors, DOM state, and other technical information to troubleshoot issues.
3. QA Metrics & Quality Analytics
   • Track metrics such as test coverage, automation coverage, execution trends, defect leakage, defect trends, regression effectiveness, and release quality.
   • Use AI to identify patterns, anomalies, and recurring quality issues.
4. Programming & Automation Engineering
   • Working knowledge of JavaScript/TypeScript or Python.
   • Understanding of automation framework structure, reusable components, dynamic test data, and test maintainability.
5. CI/CD & DevOps
   • Familiarity with Git/GitHub, GitHub Actions/Jenkins, Docker, and CI/CD concepts.
     • Ability to execute and troubleshoot automated tests as part of CI/CD pipelines.