Qu’s mission is to deliver world class enterprise software to help restaurant chains thrive in the face of increasing complexity, opportunities, and challenges.

Based in Rosslyn, VA, Qu is backed by leading Silicon Valley investors that have also backed Google, Uber, and Dropbox.

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.

What You’ll Do Here:

• 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.

Experience We’re Looking For:

• 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.

Bonus Experience:

• Experience with Java and the Karate framework for API and integration test automation.
• Experience testing third-party integrations — delivery service providers (DoorDash, UberEats, Olo, GrubHub, EzCater), loyalty, payment, or digital ordering connectors.
• Experience validating data pipelines, reporting, or analytics — including database validation (e.g., MongoDB) and data export/email verification.
• Experience with restaurant technology, POS systems, online/digital ordering, or other transactional business applications.
• Experience testing server-side-rendered web applications (e.g., Nuxt/Vue) and validating analytics/event tracking (GTM, GA4).
• Familiarity with Docker and containerized testing environments, and with distributed or scheduled test execution.
• Experience with test management/reporting tooling (e.g., TestRail, AIO Tests) and test traceability practices.
• Experience with modern AI-assisted engineering workflows and agentic development tools.

Technology Environment

• TypeScript / JavaScript / Node.js
• Playwright
• REST API Testing & JSON Schema Validation
• Java & Karate (API/integration suites)
• Azure DevOps (CI/CD)
• Docker
• Git
• Allure & AIO Tests (reporting / test management)
• MongoDB (data validation)
• AI-assisted tooling (Amazon Q, Kiro, agentic code review)

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.