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 & 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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