senior QA Automation engineers

Keywords




Selenium / Playwright / Python / PyTest




Automation Framework Architecture




API Automation & Validation




CI/CD (Jenkins, GitHub Actions, Azure DevOps, GitLab)




Parallel Test Execution




Flaky Test Analysis & Stabilization




Dynamic Data & Timestamp Handling




End-to-End Workflow Automation




Synchronization (Waits, Polling, Retries)




Test Framework Design & Scalability




Release Readiness / Quality Engineering




Strong Debugging & Problem-Solving Skills




Detailed JD: Techno-Functional Quality Engineer Required Skill Set
Mandatory Skills
Strong hands-on experience with Playwright using TypeScript and/or Python.
Proven expertise in UI, API, and Database test automation.
Strong programming skills in Python and/or TypeScript, with the ability to build and maintain scalable automation frameworks/reusable components
Exposure to API testing tools, CI/CD pipelines, Git, and test reporting frameworks.
Experience with AI-assisted test automation tools or intelligent automation frameworks is an added advantage.
Solid understanding of functional testing, including the ability to:
o Analyze business requirements, user stories, and acceptance criteria.
o Design and execute functional, integration, progression, and regression test scenarios.
o Collaborate effectively with Product Owners, Business Analysts, and Developers to ensure complete test coverage.
Experience working in Agile/Scrum delivery environments with a quality-first mindset.




Nice-to-Have Skills
Knowledge of the Property & Casualty (P&C) Insurance domain
Experience with Mainframe testing, including validation of legacy applications and integration testing with distributed systems.








Skills: Generative AI - Quality Assurance
Experience Required: 10 & Above




1. Internal Interview Notes
These are the major themes the interviewer covered:
Automation framework architecture (Selenium, Playwright, Python/PyTest)
API automation and testing strategy
CI/CD pipeline integration
End-to-end transaction orchestration in automation
Dynamic data handling (timestamps, IDs, correlation)
Synchronization and asynchronous workflows (polling, retries, waits)
Flaky test analysis and troubleshooting
Parallel execution strategy and limitations
Release readiness / product shipment from a QA perspective
Developer vs. QA ownership and responsibilities
Test framework scalability, maintainability, and design
Problem-solving and debugging approach without relying solely on logs
2. Vendor / HR Screening Guidance
Selenium / Playwright / Python / PyTest
Automation Framework Architecture
API Automation & Validation
CI/CD (Jenkins, GitHub Actions, Azure DevOps, GitLab)
Parallel Test Execution
Flaky Test Analysis & Stabilization
Dynamic Data & Timestamp Handling
End-to-End Workflow Automation
Synchronization (Waits, Polling, Retries)
Test Framework Design & Scalability
Release Readiness / Quality Engineering
Strong Debugging & Problem-Solving Skills
This wording tells vendors exactly what capabilities to screen for without revealing the actual interview questions.




Skills: Generative AI - Quality Engineering
Experience Required: 10 & Above