QSR technology platform for drive-thru and in-restaurant ordering systems
Coates Group operates a QSR-focused technology suite spanning point-of-sale, digital menu boards, self-service kiosks, and order management—deployed across 50+ markets. The tech stack is modern and distributed (TypeScript, Node.js, React, AWS, NestJS) paired with embedded systems work (LabVIEW, Yocto, edge Linux), suggesting both cloud-native backend development and on-device hardware integration. Active hiring skews heavily toward engineering (20 roles, mostly senior and director-level), with acute focus on scalability challenges and technical debt—a pattern typical of companies managing large-scale infrastructure across hundreds of restaurant locations.
Notable leadership hires: Engineering Director
Coates Group is a privately held QSR experience platform partner based in Sydney, Australia, with operations across 50+ global markets and nine offices worldwide. Founded in 1963, the company has evolved from traditional restaurant systems toward connected ecosystems covering drive-thru operations, in-restaurant digital solutions, content management, and self-service ordering. The product suite addresses operational efficiency for large QSR brands by integrating point-of-sale, menu boards, kiosks, and order-to-cash workflows. Current initiatives span digital menu management, embedded edge computing for on-premise hardware, order-to-cash process improvements, and post-sales service scalability—reflecting a shift toward both modernizing legacy infrastructure and improving financial operations.
Core stack: TypeScript, JavaScript, Node.js, NestJS, Express, React, AWS. Also embedded systems: LabVIEW, Yocto, edge Linux. Operational tools: Jira, Confluence, Asana, Salesforce, Zendesk, Figma, GitLab.
Active hiring in United States, Australia, China, and Canada across engineering, sales, ops, and support functions.
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Coates Group's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.