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GEN AI QA Engineer

9 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Senior QA Engineer – (7–9 Years Experience)

Key Responsibilities

  • Test Strategy & Planning: Define and lead comprehensive test strategies for web, backend, and microservices-based systems, including AI-enabled workflows. Ensure coverage across functional, regression, integration, and performance scenarios.
  • Automation Framework Development: Design and maintain robust automation frameworks for backend services and APIs. Utilize tools like Selenium for UI (if applicable), and Postman, or RestAssured for backend/API automation.
  • API & Microservices Testing: Perform extensive testing of RESTful APIs, service contracts, and inter-service communication. Ensure reliability, scalability, and fault tolerance across distributed systems.
  • AI/GenAI Testing (Nice to Have): Collaborate with AI/ML developers to validate AI outputs, workflows, and integration points. Assist in testing GenAI-related features like prompt flows or RAG pipelines when relevant.
  • Bug Lifecycle Management: Identify, document, prioritize, and track bugs using JIRA or similar tools. Work closely with developers to ensure timely issue resolution and improved coverage.
  • Collaboration & Mentorship: Partner with developers, DevOps, and product teams to ensure quality standards. Mentor junior QA engineers and contribute to quality best practices across the team.

Required Qualifications

  • Experience:
    • 7–9 years of professional experience in QA/testing roles across full-stack or backend-heavy systems.
    • 5+ years of experience in test automation, including API and service-level testing.
    • Hands-on experience in Agile/Scrum environments with regular CI/CD delivery cycles.
  • Technical Skills:
    • Proficient in API test automation using Postman, RestAssured
    • Familiarity with microservices testing approaches and distributed system reliability.
    • Strong experience in integrating tests with CI/CD pipelines and using Dockerized test environments.
    • Experience with version control systems like Git and team-based development workflows.

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