Drive-thru and in-restaurant digital hardware and software for QSR brands
Coates Group builds connected restaurant technology for quick-service brands, combining digital menu boards, kiosks and drive-thru systems with CMS software. Its stack spans embedded tooling (Yocto, LabVIEW) alongside a TypeScript/NestJS/React web layer on AWS, a hardware-plus-cloud mix. Engineering-led hiring with new director and tech lead roles, plus projects on a contract manufacturing redesign and an enterprise data platform, points to scaling both supply chain and data foundations.
Notable leadership hires: Engineering Director, Tech Lead
Coates Group is a privately held company headquartered in Sydney, Australia, founded in 1963. It serves quick-service restaurant brands with drive-thru solutions, in-restaurant digital displays, digital menu boards, self-service kiosks, CMS software and traditional signage. The company delivers end-to-end services covering hardware deployment and ongoing support across more than 50 markets from nine offices worldwide. It employs 201–500 people and is currently hiring in Australia, the United States, China and India.
Coates Group uses TypeScript, Node.js, NestJS, Express.js and React on AWS with CloudFormation and CloudWatch, plus Docker, Python, GitLab, Yocto and LabVIEW for embedded work, and Salesforce and Zendesk for customer operations.
Coates Group is headquartered in Sydney, New South Wales, Australia, and operates nine offices worldwide serving more than 50 markets.
Yes. Engineering is the largest hiring area, with senior and leadership roles such as Engineering Director and Tech Lead, across Australia, the United States, China and India.
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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.