• Strong hands-on expertise in designing, building, and maintaining automation frameworks for web, mobile, API, and desktop applications
• Deep understanding of software testing lifecycle (STLC) and ability to define end-to-end automation strategy for enterprise-scale applications
• Drive adoption of AI-powered testing tools (e.g., GitHub Copilot, AI-based test generation/self-healing platforms) to improve testing speed and coverage
• Design and implement scalable, reusable automation scripts using Playwright/Selenium with Python or Java
• Integrate automation suites into CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) for continuous testing
• Perform functional, regression, API, and end-to-end automated testing across multiple application streams
• Analyze test results, debug failures, and collaborate closely with developers and business analysts to resolve defects
• Prepare and maintain test metrics, automation coverage reports, and dashboards for stakeholder visibility
• Explore and prototype AI/ML-driven testing use cases (e.g., predictive test selection, anomaly detection, intelligent test data generation)