QA Engineer (Manual & Automation)

About TartanHQ At TartanHQ, we're building AI-powered products that simplify identity verification, data connectivity, and enterprise automation. We are looking for a passionate QA Engineer with around 3-5 years of experience in manual and automation testing to help deliver high-quality, scalable, and reliable products. Key Responsibilities Design, review, maintain and execute detailed manual test cases, test scenarios and test plans. Develop and maintain automated test scripts using Selenium, Playwright and Rest Assured. Perform Functional, Regression, Integration, Smoke, Sanity, API, UI/UX, Exploratory and End-to-End testing. Validate REST APIs using Rest Assured, Postman and JSON payloads. Identify, log, prioritize and track defects using JIRA and collaborate with developers until closure. Participate in sprint planning, grooming, reviews and retrospectives in Agile/Scrum teams. Review logs, browser developer tools and application traces to support root cause analysis. Contribute to CI/CD quality gates and maintain automation execution reports. Prepare test data, reusable automation utilities and detailed test documentation. Support product releases through regression validation and production verification. Required Skills Strong programming knowledge in Java or Python (JavaScript is a plus). Hands-on experience with Selenium WebDriver, Playwright and Rest Assured. Good understanding of OOP concepts, collections and exception handling. Strong manual testing expertise with SDLC, STLC and defect lifecycle. Experience testing Web, API and enterprise applications. Knowledge of AI concepts including AI-assisted testing, prompt engineering basics, LLM validation and AI-powered QA tools. Experience with JIRA and test management tools such as AIO Tests, Zephyr or Xray. Knowledge of Git, SQL, REST APIs and JSON. Excellent analytical, debugging, communication and documentation skills. Good to Have Experience integrating automation into CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps). Performance testing exposure. Cloud platform exposure (AWS/Azure). Experience working on AI/SaaS products. Educational Qualification B.Tech/B.E., MCA, BCA, B.Sc. (CS/IT) or equivalent. What You'll Gain Opportunity to work on AI-powered SaaS products. Exposure to modern QA practices, automation frameworks and Agile development. Career growth through ownership