QA Automation Engineer SR (QB - QASR - 20260701)

Our technology team is a rapidly growing group of talented and experienced engineers building 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 Senior QA Automation Engineer to join our Digital Product team. The Digital Product squad owns the guest-facing digital ordering experience — the web and mobile-web ordering platform, the digital ordering APIs and connectors that power it, and the data and reporting flows behind every order. This is an automation-first, ownership-heavy role where you will architect and extend automated test coverage across a business-critical product surface, partner closely with engineers and product managers, and raise the bar for quality engineering across the squad.

As a senior member of the team, you'll do more than write tests. You'll shape framework design, drive automation strategy, mentor other QA engineers, and help define the standards and AI-assisted practices that the broader QA organization adopts. 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.

● Own, maintain, and expand the Digital Product UI and end-to-end automation framework (TypeScript + Playwright), keeping it modular, reliable, and easy for the team to scale.

● Design and execute automated UI, end-to-end, API, regression, smoke, and redirect tests across the guest-facing web and mobile-web ordering experience.

● Build cross-browser (Chromium, Firefox, WebKit) and responsive desktop/mobile-web coverage using the Page Object Model, fixtures, and shared infrastructure patterns.

● Extend API and integration test coverage for the digital ordering flows the product depends on — REST endpoints, JSON payloads, schema validation, and the third-party delivery/ordering connectors (e.g., DoorDash, UberEats, Olo, Order Connector) — and the data export and reporting flows behind digital orders.

● Validate analytics and event tracking (GTM/GA4 dataLayer events) and use API mocking and SSR payload interception to test complex scenarios deterministically.

● Maintain and improve automated test execution within CI/CD pipelines (Azure DevOps, Docker), keeping regression suites healthy, fast, and trustworthy.

● Investigate defects, troubleshoot flaky tests, and perform root-cause analysis to surface quality risks early in the development lifecycle.

● Drive automation strategy and framework architecture decisions, and contribute to cross-squad quality engineering standards.

● Leverage AI-assisted tools and agentic workflows (e.g., Kiro, automated AI code review) to improve test design, automation development, code review, troubleshooting, and engineering productivity.

● Mentor QA and automation engineers, lead by example on code quality and review discipline, and help grow the team's technical capability.

● Participate in and help lead sprint planning, test strategy discussions, and release validation activities.

�� 5+ years of hands-on QA Automation, SDET, or Quality Engineering experience, including ownership of automation frameworks or significant test suites.
● Strong programming skills in TypeScript/JavaScript and a solid understanding of object-oriented and modern software design principles.
● Proven experience building and maintaining UI automation frameworks with Playwright (or comparable tools such as Selenium/Cypress), using patterns like Page Object Model and fixtures.
● Strong experience testing REST APIs, working with JSON payloads, and applying JSON schema validation.
● Experience with CI/CD pipelines and automated test execution, ideally with Azure DevOps.
● Experience with Git, Node.js, and modern software development and code-review workflows (linting, pre-commit hooks, PR discipline).
● Strong troubleshooting, debugging, and root-cause analysis skills, including diagnosing and stabilizing flaky tests.
● Ability to quickly understand and contribute to large, existing codebases, and to make sound architecture and maintainability decisions.
● Experience using AI-assisted development tools for coding, debugging, test generation, documentation, or code review.
● Demonstrated technical leadership: mentoring engineers, setting standards, or driving automation/quality strategy.
● Excellent communication and collaboration skills, with experience working in Agile/Scrum environments.

● Experience with Java and the Karate framework for API and integration test automation.
● Experience testi