Software Development Engineer in Test (SDET)

Job Overview:

Application Testing Team

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+ 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.