SDET / Automation Test Engineer
16 hours ago
Job Description
Role Overview
We are seeking a highly skilled 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
- 1–3 years of experience in Automation, 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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