
51 - 200 employees
☁️ SaaS
🏢 Enterprise
🛒 Retail
SaaS • Enterprise • Retail
Qu POS is a technology company that provides a unified commerce platform for quick service and fast casual restaurant chains. Their platform integrates point of sale (POS), online ordering, drive-thru kiosks, and third-party marketplace connections to create seamless on- and off-premise ordering experiences. This enables restaurant operators to manage multi-channel and menu ecosystems efficiently, enhancing brand loyalty and operational accuracy. By leveraging data-rich insights, Qu POS aims to revolutionize restaurant commerce by moving operations into the digital age, focusing on scalability and growth.
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51 - 200 employees
☁️ SaaS
🏢 Enterprise
🛒 Retail
SaaS • Enterprise • Retail
Qu POS is a technology company that provides a unified commerce platform for quick service and fast casual restaurant chains. Their platform integrates point of sale (POS), online ordering, drive-thru kiosks, and third-party marketplace connections to create seamless on- and off-premise ordering experiences. This enables restaurant operators to manage multi-channel and menu ecosystems efficiently, enhancing brand loyalty and operational accuracy. By leveraging data-rich insights, Qu POS aims to revolutionize restaurant commerce by moving operations into the digital age, focusing on scalability and growth.
• 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.
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