We are looking for a Senior QA Automation Engineer to drive our automation strategy and ensure the delivery of high-quality products across our gaming platforms. In this role, youβll design, implement, and maintain robust automation frameworks for web, mobile, and API environments, while also leveraging GenAI-driven testing approaches. Working closely with developers, product managers, and QA peers, youβll play a key role in maintaining performance, reliability, and a seamless user experience for players worldwide.
What Youβll Do
- Develop and maintain scalable automation frameworks for web, mobile, and API testing using tools like Selenium, Playwright, and Appium.
- Create and optimize automated test suites to support regression, integration, and performance testing.
- Implement AI-driven testing scenarios and integrate GenAI tools into existing frameworks to validate reliability of large language models.
- Perform API testing using tools such as REST Assured, Postman, or Swagger.
- Collaborate with developers, product managers, and QA engineers to translate requirements into effective automation strategies.
- Mentor team members on automation best practices and help raise the teamβs technical proficiency.
- Contribute to CI/CD pipelines by integrating automated tests with Jenkins, GitLab CI/CD, or Bamboo.
- Conduct performance and load testing using tools like JMeter or Gatling.
- Document test cases, frameworks, and processes to ensure reusability and knowledge sharing.
- Participate in agile ceremonies and continuously suggest improvements to enhance testing efficiency and product quality.
What Weβre Looking For
- 6β8 years of experience in test automation and QA, with proven success building frameworks for web, mobile, and API testing.
- Strong programming skills in Java, Python, or JavaScript.
- Hands-on experience with automation tools such as Selenium, Playwright, Appium, REST Assured, Postman, Karate, etc.
- Familiarity with CI/CD practices and tools like Jenkins, GitLab CI/CD, or Bamboo.
- Experience with prompt engineering and integrating GenAI tools into automation workflows.
- Knowledge of containerized environments using Docker.
- Strong analytical, debugging, and problem-solving skills.
- Excellent communication skills, with the ability to collaborate across technical and non-technical teams.
- Bachelorβs or Masterβs degree in Computer Science, Information Technology, or a related field.