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 applicationsenabling 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 (030 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 (3090 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
- 3+ 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
