Software Development Engineer in Test (SDET)

About the job

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.