View job listing
Apply to QA Engineer
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.