QA Engineer

About GoML At GoML, we design and build cutting-edge Generative AI, AI/ML, and Data Engineering solutions that help businesses unlock the full potential of their data. Our mission is to bridge state-of-the-art AI research with real-world enterprise applications—enabling organizations to innovate faster, make smarter decisions, and scale AI solutions seamlessly. Role Overview We’re looking for a QA Automation Engineer with strong hands-on experience in test automation, API testing, and CI/CD integration. In this role, you’ll work closely with engineering, data, and DevOps teams to ensure our AI-powered platforms are reliable, scalable, and production-ready. If you enjoy building robust automation frameworks, validating complex data workflows, and continuously improving product quality, this role is for you. What You’ll Do (Key Responsibilities) Initial Phase (0–30 Days) Understand GoML’s AI/ML & GenAI products, workflows, and QA practices Review existing automation frameworks, test coverage, and pipelines Collaborate with developers to understand product functionality and quality expectations Execution Phase (30–90 Days) Develop and maintain automated test cases for web, API, and backend systems Execute regression, integration, and end-to-end tests Contribute to CI/CD-integrated test pipelines Perform API and data validation testing Identify defects, debug issues, and work with teams to ensure quick resolution Growth & Ownership (90+ Days) Improve automation coverage and test reliability Assist in defining QA best practices and documentation Support performance and scalability testing efforts Collaborate on quality improvements for AI/ML-driven features What You Bring (Skills & Qualifications) Must-Have 2+ years of experience in QA Automation or Software Testing Hands-on experience with automation tools such as Selenium, Playwright, Cypress, PyTest, or similar Strong experience in API testing (Postman, RestAssured, etc.) Working knowledge of CI/CD pipelines (GitHub Actions, GitLab, Jenkins, etc.) Experience with regression, integration, and end-to-end testing Proficiency in Python, Java, or JavaScript Good understanding of SDLC, STLC, and Agile methodologies Strong analytical, debugging, and communication skills Nice-to-Have Exposure to AI/ML systems, data pipelines, or analytics platforms Experience with performance testing tools (JMeter, Locust, k6) Familiarity with Docker and cloud platforms (AWS/GCP/Azure) Interest in AI-assisted or data-driven testing approaches Why Work With Us? Remote-first culture with offices in Coimbatore for collaboration Opportunity to work on cutting-edge AI/ML & GenAI platforms Learn from experienced leaders and work on real-world enterprise problems Competitive compensation, strong learning curve, and growth opportunities