Job Title

Job Title: Lead Automation Test Engineer Location: Bangalore Experience: 7–10 years Reports To: Engineering Manager 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. Required Skills & Experience 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). Key Attributes 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.