Cloud-based EHR platform for healthcare organizations across delivery settings
MEDITECH operates Expanse, a cloud-native EHR built on SQL Server, PostgreSQL, Node.js, React, and Kubernetes across AWS, GCP, and Azure. The hiring mix—weighted heavily toward support (9 roles) and sales (5 roles) with only 2 engineering openings—reflects a mature product in scaled customer-support mode rather than core platform development. Active projects center on customer implementations, training, and go-live execution, with pain points clustering around deployment complexity (delayed EHR go-lives, troubleshooting enterprise system issues) and internal compliance overhead (payroll for 3,500+ employees, tax/audit work).
MEDITECH develops Expanse, a cloud-based EHR platform deployed across 23 countries by thousands of healthcare organizations. The product is designed to support clinicians, nurses, and administrative staff across inpatient, ambulatory, and post-acute care settings. The company operates as a private, 1,001–5,000-person organization headquartered in Canton, Massachusetts, with hiring active in the United States, Philippines, and Japan. Current operational focus centers on customer implementations, training delivery, and system installation—with internal scaling around payroll management, compliance, and audit preparation for a large employee base.
Expanse runs on SQL Server, PostgreSQL, Node.js, and React, deployed across AWS, GCP, and Azure. Infrastructure uses Kubernetes, Terraform, and Ansible. Citrix, Active Directory, and VMware support on-premises and hybrid deployments.
MEDITECH is actively hiring in the United States, Philippines, and Japan. Support and sales roles make up the majority of openings across these geographies.
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MEDITECH'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.