QA Automation 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 Dev Ops 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
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, Rest Assured, etc.)
Working knowledge of CI/CD pipelines (Git Hub Actions, Git Lab, Jenkins, etc.)

Experience with regression, integration, and end-to-end testing
Proficiency in Python, Java, or Java Script
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