Sr. SDET

• Drive an automation-first approach for validating APIs, UI, and backend systems with a strong focus on production readiness
• Design and maintain test frameworks aligned to operational use cases, including regression, integration, and release validation
  
• Lead performance and load testing initiatives to ensure systems can handle real-world traffic and scale
  
• Analyze QA and production metrics (defect leakage, failure patterns, test coverage) to proactively identify quality gaps
  
• Support release validation and production readiness, ensuring deployments meet reliability and performance standards
  
• Leverage AI-driven testing tools and techniques to improve defect detection, optimize test coverage, and enhance efficiency
  
• Collaborate with Production Support teams to reproduce issues, validate fixes, and prevent recurrence
  
• Balance automation with targeted manual and exploratory testing, especially for edge cases and high-risk scenarios
• You will contribute to building an operations-driven quality ecosystem, where testing is continuous, intelligent, and directly aligned with system reliability and customer impact.

· Drive end-to-end quality strategy across applications ensuring high standards in functional, performance, and reliability testing.

· Perform manual and exploratory testing for edge cases and usability scenarios.

· Leverage AI-driven testing tools and techniques to improve coverage and efficiency.

· Design and implement robust test automation frameworks for API, UI, and backend systems.

· Collaborate with Engineering, Product, and DevOps teams to ensure quality is built into the development lifecycle.

· Develop and execute API testing strategies using tools like REST Assured and SoapUI.

· Lead front-end testing initiatives ensuring seamless user experience across devices and browsers.

· Define and execute performance and load testing strategies for scalability and resilience.

· Analyze QA metrics (defect leakage, coverage, pass rates) to improve processes.

· Integrate automated tests into CI/CD pipelines for continuous testing.

· Maintain strong test documentation, traceability, and defect prevention strategies.

· Experience with BDD frameworks (Cucumber, SpecFlow).

· Experience with test data management and mocking/stubbing tools.

· Exposure to cloud environments (AWS/Azure).

· Familiarity with Docker/Kubernetes.

· Basic knowledge of security testing.

· Exposure to GenAI-based test case generation or AI/ML-based testing tools.

· Reduction in production defects.

· Improved test execution cycle time.

· Increased adoption of AI-driven testing.

· Improved overall product quality and release confidence.

· Effective performance validation and scalability readiness.

· High automation coverage across critical flows.