Software Development Engineer in Test

1 week ago

Bangalore, India Vegam Solutions Full time

Job Overview: The Application Testing Team is seeking a highly skilled Software Development Engineer in Test (SDET) to architect, develop, and maintain a scalable and intelligent test automation framework . This role requires hands-on expertise in traditional test automation tools like Selenium , along with modern AI-powered testing platforms such as TestRigor and Testim . You will play a key role in accelerating release cycles, improving software quality, and reducing manual testing efforts through innovation and automation. Key Responsibilities: Design and build scalable, maintainable, and reusable automation frameworks for UI, API, and integration testing. Develop and maintain automated test suites using Selenium WebDriver and integrate them with CI/CD pipelines. Evaluate and implement AI-powered test automation tools such as TestRigor , Testim , or Mabl to improve coverage, test creation speed, and test maintenance. Collaborate with developers, QA engineers, product owners, and DevOps to align test coverage with business goals. Drive adoption of AI-based test case generation, self-healing scripts, and intelligent test prioritization. Ensure framework extensibility for web, mobile, and API layers. Review code for test scripts, enforce coding standards, and ensure high test reliability and maintainability. Provide documentation, training, and support to team members on using and extending the automation framework. Continuously monitor test execution, analyze flakiness, and optimize for performance and accuracy. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or related field. 5-7 years of experience in test automation development. Strong experience with Selenium and core automation principles. Programming proficiency in Java, Python, or .NET . Experience with at least one AI-powered test automation platform , such as: Hands-on experience with REST API testing using Postman, RestAssured , or similar tools. Familiarity with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, Azure DevOps). Good understanding of test lifecycle management, version control (Git), and Agile processes. Preferred Qualifications: Experience integrating AI tools in enterprise test automation frameworks. Knowledge of self-healing automation, intelligent locator strategies, or test impact analysis. Exposure to performance testing tools (e.g., JMeter, Gatling). Working knowledge of Docker, Kubernetes, or cloud platforms (AWS, Azure, GCP). Familiarity with BDD tools like Cucumber.

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