QA Engineer

Tangentia; Goa; On-site; INR 600,000 - 1,000,000; Full time

Job summary

Tangentia is seeking a QA Engineer with 2+ years of experience to join our QA delivery team. You will apply your knowledge of SDLC/STLC, test planning, and defect management while owning QA activities end-to-end.

You will develop automated tests using Selenium and Playwright, explore AI-powered QA tools, and collaborate across Product, Development, and Business teams in an Agile environment to ensure quality and timely releases.

Qualifications

• 2+ years of experience in Software QA/Testing.
• Strong knowledge of SDLC, STLC, and defect management.
• Hands-on knowledge of Selenium and/or Playwright.
• Experience with AI-powered QA tools to improve efficiency.

Responsibilities

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

Skills

2+ years QA/Testing

SDLC/STLC

Ownership QA delivery

Selenium

Playwright

API testing

SQL

Jira/Azure DevOps

AI-powered QA tools

AI/Agentic AI/RPA

QA testing

Cross-functional collaboration

Tools

Selenium

Playwright

Jira

Azure DevOps

Job description

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.