Lead Sdet

4 weeks ago

Bangalore Karnataka, India Apna Full time

Role Overview We are seeking a highly skilled Lead Automation Test Engineer with strong expertise in designing developing and maintaining robust automation frameworks for API and UI testing across cloud and AI-driven platforms The ideal candidate has deep technical experience in Python-based automation CI CD integration and cross-functional collaboration in Agile environments Key Responsibilities Automation Framework Design Maintenance Develop and enhance scalable modular test automation frameworks using Python Selenium WebDriver Pytest and Allure Reports for UI and API testing End-to-End Quality Ownership Drive Smoke Sanity Regression and UAT testing cycles for complex systems ensuring product quality and stability before release API Integration Testing Leverage Postman Swagger JMeter and Python libraries for functional performance and integration testing of REST APIs Continuous Integration Deployment Integrate automation suites with Jenkins CI CD pipelines ensuring seamless automated builds reports and test execution Cross-Functional Collaboration Work closely with developers product managers and DevOps to define test strategies prioritize issues and ensure test coverage across releases Agile QA Leadership Participate in Sprint Planning Retrospectives and Daily Standups contributing to QA best practices and continuous improvement Cloud AI Testing Exposure Validate data-driven and ML-based systems across Azure AWS GCP including AI-powered application workflows Requirements 7-10 years of experience in Automation Manual Testing preferably in SaaS AI or Cloud environments Strong hands-on experience in Python Selenium WebDriver Pytest Jenkins Postman and JMeter Experience building and maintaining end-to-end test automation frameworks from scratch Sound understanding of SDLC STLC and Agile Scrum methodologies Familiarity with MySQL MongoDB databases and GitHub GitLab source control Exposure to performance testing security validation and cross-browser device compatibility Excellent analytical debugging and documentation skills Proven ability to work independently and mentor junior QA members Preferred Qualifications B Tech B E in Computer Science IT or related field Experience with AI ML-based testing video audio processing systems or cloud-native architectures Knowledge of Docker Kubernetes or CI observability tools ISTQB or equivalent QA certification a plus Benefits Strong ownership mindset with detail orientation Ability to thrive in fast-paced collaborative environments Passion for automation innovation and process improvement Excellent verbal and written communication

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