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.

• 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).

• 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.