Software Development Engineer in Test

We are seeking an experienced Software Development Engineer in Test (SDET) / QA Automation Engineer with strong expertise in designing, developing, and maintaining scalable automation frameworks. The ideal candidate will have a solid background in automated testing, CI/CD integration, API testing, and test framework development, ensuring high-quality software delivery across web and API platforms.  • Design, develop, and maintain robust automation testing frameworks from scratch.   • Build and execute automated test suites for web applications, APIs, and microservices.   • Integrate automated tests into CI/CD pipelines to enable continuous testing and faster releases.   • Develop reusable test components, utilities, and libraries to improve automation efficiency.   • Collaborate with developers, product owners, and QA teams to define test strategies and acceptance criteria.   • Perform functional, regression, integration, and end-to-end testing.   • Analyze test results, identify defects, and work closely with development teams for resolution.   • Improve test coverage, reliability, and execution performance across applications.   • Participate in code reviews and contribute to quality engineering best practices.  • Strong experience as an SDET, QA Automation Engineer, or Test Automation Engineer.   • Expertise in designing, developing and maintaining automation frameworks.   • Hands-on experience with: Playwright ,Selenium ,Cypress ,Puppeteer   TestCafe   • Strong programming skills in: Java,JavaScript / TypeScript, Python   • Experience with testing frameworks: JUnit ,TestNG ,PyTest ,Unittest   Jest ,Mocha   • Good API automation testing experience using: Postman/Newman   Karate DSL, Java-based API Automation, SOAP UI / ReadyAPI   • Experience testing: REST APIs ,SOAP Web Services   • Strong understanding of: CI/CD pipelines ,Continuous Testing ,TestAutomation Best Practices ,Agile/Scrum methodologies   Preferred Skills  • Experience with Jenkins, GitHub Actions, GitLab CI, Azure DevOps, or similar CI/CD tools.   • Exposure to Docker and Kubernetes environments.   • Experience with cloud platforms such as AWS, Azure, or GCP.   • Knowledge of performance and load testing tools.