QA Automation Engineer

Location:

Key Accountabilities:

• Design, build, and enhance automation frameworks using Java, Selenium, Appium, and Rest Assured
• Implement Page Object Model (POM), BDD using Gherkin, and reusable utilities
• Own and expand test automation coverage for both desktop and mobile platforms
• Execute API automation using Rest Assured or Karate
• Contribute to Functional testing efforts for exploratory and new feature validation
• Participate in Agile ceremonies, story grooming, and test planning
• Collaborate with DevOps and QA lead to integrate automation into CI/CD pipelines
• Collaborate with the QA lead/onsite automation engineer to expand automation coverage
• Use tools such as Jenkins, Git, and TestNG/JUnit to drive automation
• Ensure code quality and maintainability across automation assets
• Monitor and analyze automation test results and report key metrics
• Participate in shift-right testing strategies, post-deployment validation, and monitoring
• Guide and support junior QA team members in automation practices

Education and Experience:

• Bachelors degree in computer science or related discipline
• 5+ years of hands-on experience in test automation
• Strong command of Java, object-oriented programming, and scripting principles
• Proven experience with:
  • Selenium WebDriver, Appium, Rest Assured, Karate
  • BDD tools (Cucumber or equivalent) and Gherkin
  • Automation frameworks and advanced design patterns like POM
• Advanced API test design and execution experience
• Proficient in CI/CD tools such as Jenkins, Bamboo, or TeamCity
• Experience with Version Control tools like Git
• Familiar with Agile and Scrum practices
• Willingness to learn low-code/no-code automation and AI tools in testing

Skills and Behaviors:

• Strong problem-solving and analytical skills
• Clear and concise technical communication
• Ownership mindset with ability to lead initiatives
• Ability to mentor and support junior engineers
• Passionate about automation, innovation, and continuous improvement
• Knowledge of low-code/no-code platforms and AI/ML-based testing tools is a plus
• Understanding of shift-right testing, observability, and quality at speed principles