QA Automation Engineer(Pune) (AI)

Experience: 3–6 years Key Responsibilities

• Understand business requirements, user stories, acceptance criteria, workflows, and product behavior.

• Design, write, review, and execute manual test cases for web applications, APIs, workflows, and integrations.

• Perform functional testing, regression testing, smoke testing, sanity testing, integration testing, end-to-end testing, and release validation.

• Build and maintain UI automation scripts using Selenium or Playwright.

• Design and maintain API automation scripts using Rest Assured with a structured framework.

• Perform manual API testing using Postman.

• Validate API requests, responses, payloads, authentication, authorization, status codes, error handling, and business rules.

• Identify test scenarios for positive, negative, boundary, edge case, and exception flows.

• Log, track, retest, and close defects with clear steps, screenshots, logs, evidence, and impact analysis.

• Collaborate closely with developers, product owners, business teams, and other stakeholders.

• Participate in sprint ceremonies, requirement discussions, defect triage, and release discussions.

• Maintain test documentation, execution status, defect reports, and regression reports.

• Support automation execution in CI/CD pipelines where applicable.

• Contribute to QA best practices, reusable automation utilities, and continuous quality improvement.

• Validate AI-enabled features where required, such as chatbot responses, document extraction outputs, summaries, and generated content, based on defined acceptance criteria.

Required Skills

• 3–6 years of hands-on software QA experience.

• Strong manual testing background with excellent test case design skills.

• Strong QA mindset with the ability to think from user, business, edge case, and failure perspectives.

• Hands-on UI automation experience using Selenium or Playwright.

• Hands-on API testing experience using Postman.

• Hands-on API automation experience using Rest Assured.

• Good programming knowledge in Java, JavaScript, TypeScript, or Python.

• Strong understanding of SDLC, STLC, defect lifecycle, Agile/Scrum methodology, and QA processes.

• Good understanding of REST APIs, HTTP methods, headers, JSON, authentication, authorization, and response validation.

• Experience in creating smoke, sanity, regression, integration, and end-to-end test suites.

• Ability to work independently on assigned modules with minimal supervision.

• Strong debugging, analytical, documentation, and problem-solving skills.

• Very good communication skills for requirement clarification, defect discussion, and stakeholder updates.

• Ability to clearly explain QA status, risks, blockers, and release readiness.