Gamdom

Compensation

Full Description

We are seeking a Senior QA Automation Engineer to take ownership of designing, building, and evolving scalable, maintainable automation frameworks, while driving high-quality automated test coverage for the Gamdom platform across Web, API, and Mobile layers. This role requires strong automation engineering expertise, architectural thinking, and the ability to collaborate across teams to embed quality throughout the software delivery lifecycle. Responsibilities: Design and maintain scalable, multi-platform automation frameworks (Web, Mobile, API) using modular design patterns to ensure high reusability and low maintenance overhead. Regularly evaluate and contribute to the development of a robust automation framework to ensure it aligns with evolving project requirements. Review pull requests to ensure compliance with coding standards, best practices, and overall code quality. Provide mentorship to QA Automation Engineers on best practices and leveraging new technologies. Assist in resolving technical issues, including challenges related to automation. Collaborate closely with DevOps Engineers to ensure seamless integration of test automation within the CI/CD pipeline. Consider multiple approaches and recommend the best technical direction, backed by clear logic and reasoning. Collaborate with QA Automation Engineers, Manual QA’s, Software Developers, and Product Owners to understand requirements and deliver high-quality software solutions. Optimize and enhance automation testing processes to improve efficiency and coverage. Stay up-to-date with new testing tools, test strategies, and industry trends in test automation. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, and/or courses in related fields. Minimum of 7 years of experience in software quality assurance with extensive hands-on experience in UI and API automation, including building and maintaining automation frameworks and libraries from the ground up. Solid programming skills in one or more high-level languages such as JavaScript/TypeScript (preferred), Java, C#, or Python. Excellent understanding of Object-Oriented Programming (OOP), SOLID principles, and design patterns. Strong proficiency in Playwright for UI automation. Experience in cross-browser, cross-platform web testing with BrowserStack or equivalent platforms. Strong expertise in RESTful API principles and related automation libraries/frameworks. Familiarity with version control systems (Git) and CI/CD tools (GitHub Actions, Jenkins, etc.) and workflows. Good understanding of relational databases and SQL. Experience integrating automation with test case management systems (e.g., Xray, TestRail, or equivalent). Good understanding of containerization and orchestration technologies (e.g., Docker, Kubernetes). Very good understanding of QA methodologies, testing strategies, and SDLC processes. Possesses a creative mindset with the ability to think outside the box and suggest innovative solutions. Experience in working with Agile/Scrum development processes. Excellent analytical, problem-solving, and communication skills. Ability to adapt in a fast-changing environment while maintaining a growth mindset and positive attitude. Following will be considered an advantage: Hands-on experience leveraging AI-assisted automation approaches (e.g., self-healing, intelligent test maintenance, flaky-test detection) to improve automation stability and efficiency. Knowledge of using machine learning or data-driven approaches to analyze test results and identify failure patterns. Mastery of prompt engineering techniques (e.g., Chain of Thought, Few Shot) using widely adopted AI platforms (e.g., Claude, ChatGPT, Gemini).