Medical imaging platform integrating disparate hospital systems and workflows
Mach7 builds an integration-first imaging platform for healthcare enterprises managing fragmented PACS, archiving, and clinical viewing systems. The tech stack spans legacy medical equipment integrations (Epic, Hologic, Fujifilm), modern cloud infrastructure (AWS, Azure, Kubernetes), and polyglot development (Java, C#, .NET, React, Angular). Active hiring skews engineering and support, with concurrent investment in QA automation, AI-driven workflow prototypes, and enterprise migration testing—indicating a shift from maintaining legacy uptime toward modernization and intelligent workflow optimization.
Notable leadership hires: QA Team Lead
Mach7 Technologies is a public company delivering enterprise imaging solutions to healthcare systems in the United States. The platform addresses the core problem of data fragmentation in clinical environments: integrating multiple vendor imaging systems, enabling universal viewing across specialties, and consolidating archiving under a vendor-neutral model. The product is deployed as modular components or end-to-end, allowing healthcare organizations to retain existing vendor investments while modernizing underlying infrastructure. Scale is enterprise—active projects include large-scale migrations, complex workflow automation, and upgrades across multi-site hospital networks.
Mach7 uses Java, C#, .NET for backend services; React, Angular, Vue, Dart for frontend; SQL Server and PostgreSQL for data; AWS and Azure for cloud; Docker and Kubernetes for orchestration; and integrations with Epic Systems, HL7, and FHIR standards for healthcare interoperability.
South Burlington, Vermont. The company is public and employs 51–200 staff, with all current hiring activity in the United States.
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Mach7 Technologies'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 →
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