QA Automation Engineer (QB - QA - 20260617)

Our technology team is a rapidly growing group of talented and experienced engineers helping to build the leading enterprise software company focused on restaurant technology. We use modern technologies, automation, and AI-assisted engineering practices to build products that power restaurant operations at scale.

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.

What You'll Do Here: ● 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.

Experience We're Looking For: ● 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.

● Excellent communication and collaboration skills.

● Experience working in Agile/Scrum environments.

Bonus Experience: ● Experience with restaurant technology, POS systems, Kitchen Display Systems (KDS), or other transactional business applications.

● Experience with Kotlin.

● Experience testing desktop or Electron-based applications.

● Experience with Azure DevOps or similar CI/CD platforms.

● Familiarity with Docker and containerized testing environments.

● Experience with distributed test execution environments.

● Experience with performance, reliability, or latency-sensitive testing.

● Experience with modern AI-assisted engineering workflows and agentic development tools.

Technology Environment: ● Java

● TestNG

● Appium and Selenium

● REST API Testing

● Maven

● Azure DevOps

● Docker

● Git

The Type of Team Player We Need: ● Proactive mindset with a high degree of ownership and accountability.

● Passion for quality, automation, and continuous improvement.

● Strong analytical thinker and creative problem-solver.

● Comfortable working in a fast-paced environment with evolving priorities.

● Adaptable, collaborative, and eager to learn.

● Curious about emerging technologies and modern engineering practices, including AI-assisted software development.

● Team-oriented professional who enjoys partnering across Engineering, Product, and QA disciplines.