QA Automation Engineer (QB - QA - 20260617)

We are looking for a hands-on, forward-thinking QA Automation Engineer to join our Kitchen Display System (KDS) team. This is an automation-first role where you'll own and extend automated test coverage for a business-critical platform used in restaurant operations.

You will work within an established automation framework, help maintain healthy regression pipelines, improve test reliability, and partner closely with engineers to deliver high-quality software.

This is a high-impact role on a fast-moving team where quality, automation, and continuous improvement are core to how we build and release software.

• Develop, maintain, and expand automated test coverage for the Kitchen Display System (KDS) platform.
• Design and execute automated UI, API, regression, and smoke tests.
• Build scalable, maintainable automation solutions using established framework patterns and best practices.
• Partner closely with developers, product managers, and QA engineers to ensure quality throughout the software development lifecycle.
• Investigate defects, troubleshoot test failures, and identify quality risks early in the development process.
• Maintain and improve automated test execution within CI/CD pipelines.
• Participate in sprint planning, test strategy discussions, and release validation activities.
• Leverage AI-assisted tools and workflows to improve test design, automation

development, code reviews, troubleshooting, and engineering productivity.

• Contribute to the continuous improvement of quality engineering standards, automation practices, and testing processes.

• 4+ years of hands-on QA Automation, SDET, or Quality Engineering experience.
• Strong programming skills in Java and a solid understanding of object-oriented

programming principles.

• Experience building and maintaining UI automation frameworks using Appium, Selenium, Playwright, or similar technologies.
• Experience designing and implementing scalable automated test solutions.
• Experience testing REST APIs and working with JSON payloads.
• Experience with CI/CD pipelines and automated test execution.
• Experience with Maven, Git, and modern software development workflows.
• Strong troubleshooting, debugging, and root-cause analysis skills.
• Ability to quickly understand and contribute to large, existing codebases.
• Experience using AI-assisted development tools for coding, debugging, test generation, documentation, or code review.