Lead SDET / Automation Test Engineer

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.