Self-service kiosk network processing coins, cash, and digital transactions
Coinstar operates 24,000 kiosks across North America and Europe, processing coins and cash while expanding into cryptocurrencies and digital account funding. The tech stack is mature (.NET, SQL Server, Azure, AWS) with active investment in fraud detection, transaction monitoring, and cloud infrastructure — Azure environment expansion is a live project. Hiring velocity is accelerating across operations and engineering, with a notable focus on building dashboards and monitoring systems, suggesting increased attention to operational visibility and compliance.
Notable leadership hires: Managing Director
Coinstar runs a self-service kiosk network enabling consumers to convert coins to cash, gift cards, or charitable donations at retail and financial institution locations. The company has processed over 800 billion coins since inception and maintains kiosk infrastructure across supermarkets, mass merchants, drug stores, and credit unions in North America and Europe. Recent service expansions include cryptocurrency purchasing and digital account top-ups. Operations span the United States, Canada, Spain, and France.
Coinstar's primary stack includes .NET, C#, SQL Server, and Azure for cloud infrastructure. Supporting tools: Power BI and Tableau for analytics, Docker and Kubernetes for orchestration, Redis for caching, and AWS alongside Azure for multi-cloud operations.
Active projects include kiosk deployment and upgrades, transaction monitoring and fraud detection systems, Azure environment expansion, continuous integration and delivery, and executive dashboard creation. Key challenges are reducing fraud-related revenue loss and replacing legacy kiosk hardware.
Coinstar'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.