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QA Engineer

  • Goa/Trivandrum, India

Job Summary

We are looking for a QA Engineer with 2+ years of experience with strong knowledge of SDLC/STLC, test execution, defect management, test automation, and QA delivery. The candidate should demonstrate strong ownership, effective cross-functional collaboration, and the ability to leverage AI tools to improve QA efficiency and productivity.

Key Responsibilities

  • Apply strong knowledge of SDLC/STLC, test planning, test case design, execution, and defect lifecycle.
  • Perform Unit, Integration, Functional, End-to-End (E2E), Regression, Smoke, Sanity, and Non-Functional testing.
  • Take end-to-end ownership of QA delivery, ensuring testing activities are completed within timelines and quality expectations.
  • Collaborate closely with developers to identify, reproduce, track, retest, and close defects.
  • Communicate testing status, risks, blockers, and delivery impact to relevant stakeholders.
  • Develop and maintain automated test scripts using Selenium and/or Playwright.
  • Leverage AI tools for test case generation, automation, test data creation, defect analysis, documentation, and other QA productivity improvements.
  • Participate in Agile ceremonies and collaborate effectively with Product, Development, and Business teams.
  • Support production issue analysis, RCA, and preventive QA measures.

Required Skills

  • 2+ years of experience in Software QA/Testing.
  • Strong understanding of SDLC, STLC, and defect management.
  • Strong ownership and accountability for QA delivery.
  • Good communication, analytical, and cross-functional collaboration skills.
  • Hands-on knowledge of Selenium and/or Playwright.
  • Good understanding of functional and non-functional testing methodologies.
  • Basic knowledge of API testing and SQL.
  • Experience with Jira, Azure DevOps, or similar defect-tracking tools.
  • Experience using AI-powered tools to improve QA efficiency and automation.
  • Experience working on AI/Agentic AI, RPA, or Document Automation projects.

Must Should Have this

  • Practical knowledge of AI-assisted QA tools and prompt testing.
  • Basic understanding of AI Knowledge Bases (KB), RAG, retrieval, grounding, and hallucination testing.
  • Ability to design AI-specific test scenarios and evaluate AI-generated responses.
  • Experience working on AI/Agentic AI, RPA, or Document Automation projects.
  • Experience testing AI Agents, LLM-based applications, RAG pipelines, or AI-powered business workflows.