Testing Lifecycle: Perform rigorous Functional, API, Regression, Load, and Performance Testing on Web and Client-Server Applications.
Test Management: Design, systematically execute, and thoroughly maintain test cases, test plans, and accurately track application defects.
Automation Engineering: Develop, scale, and maintain automated UI and API test scenarios using robust Python-based test automation frameworks.
AI Integration: Leverage modern AI tools to strategically generate test cases, test data, and fundamentally improve overall QA efficiency.
Cross-Functional Collaboration: Work directly with Developers, Product Owners, and DevOps teams to ensure we deliver high-quality, sustainable products with speed to market.
Skills & Eligibility
Academic Foundation: Candidates must hold a full-time B.E/B.Tech qualification from a recognized institution.
Experience Bracket: Possess 1 to 3 years of hands-on, professional QA and software testing experience.
Core QA Competency: Strong, practical knowledge of Functional, API, Regression, and Performance Testing methodologies.
Tool Proficiency: Professional experience with Postman and performance testing tools such as JMeter or Locust. Familiarity with Selenium or Playwright.
Programming & AI: Solid hands-on experience scripting with Python-based frameworks and actively using AI tools to assist QA activities.
Proven exposure to establishing or navigating CI/CD pipelines.
Direct experience testing advanced AI/LLM or RAG-based software applications.
Comprehensive knowledge of Agile/Scrum methodologies in an enterprise development environment.
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