Self-service coin counting and cash services kiosk network
Coinstar operates a self-service kiosk network that converts coins to cash, eGift cards or charity donations, with added crypto and digital-account cash services. Fraud is the dominant internal theme: job posts repeatedly cite fraud-driven revenue loss alongside transaction monitoring and fraud dashboard builds. A Microsoft-centric stack (C#, .NET, SQL Server, Azure DevOps) is expanding into Azure and AKS while legacy kiosk hardware is being replaced.
Notable leadership hires: Managing Director
Coinstar runs self-service coin counting kiosks placed in supermarkets, mass merchants, drug stores and financial institutions across North America and Europe. Consumers can turn loose change into cash, a no-fee eGift card or a charitable donation, and some kiosks support cryptocurrency purchases and loading money into digital accounts. Founded in 1991 and headquartered in Bellevue, Washington, the privately held company has 201–500 employees. Current hiring spans the United States, Spain, France and Canada, weighted toward operations, engineering and logistics.
Coinstar runs on C#, C++, .NET, SQL Server and Entity Framework, with Azure and AWS cloud, Azure Kubernetes Service, Docker, MuleSoft for integration, TeamCity and Azure DevOps for delivery, and Power BI and Tableau for analytics.
Yes, hiring is accelerating, led by operations, engineering and logistics roles, with additional security, finance and marketing openings across the United States, Spain, France and Canada.
Coinstar is building transaction monitoring systems and fraud detection dashboards, deploying and upgrading kiosks, expanding its Azure environment, creating executive dashboards and advancing CI/CD practices.
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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.