Digital transformation and compliance solutions for healthcare and enterprise
Atlas Systems is a 20-year-old services firm pivoting toward modern data platforms. The tech stack reveals a legacy foundation (COBOL, DB2, VSAM, SAP) alongside cloud-native tooling (AWS, Azure, GCP, Terraform, Bicep), with active hiring concentrated in data roles (3 of 6 open positions, all senior-level). The project list and pain points align tightly around Microsoft Fabric migration and data modernization—signaling a deliberate shift from batch-oriented legacy systems toward cloud analytics.
Atlas Systems provides digital transformation services to healthcare payers, healthcare providers, and enterprise clients. The firm operates across two primary business lines: managed services (provider credentialing and monitoring through PRIME; third-party risk management via ComplyScore) and custom IT services including application development, cloud migration, and data platform work. With offices in the United States (headquartered in East Brunswick, New Jersey) and India, Atlas employs 201–500 people and works embedded within client organizations to extend in-house technical capacity.
Legacy: COBOL, DB2, VSAM, SAP. Cloud: AWS, Azure, GCP, Terraform, Bicep. Development: Java, Spring Boot, React, TypeScript, C#. Data: SQL Server, Azure Cosmos DB, UiPath (RPA). DevOps: Jenkins, Jira, Confluence.
Primary focus: migrating legacy data environments to Microsoft Fabric, designing modern data architectures, developing Power BI dashboards, and building QA automation. Secondary: integrating security into DevOps and automating vulnerability scanning.
Other companies in the same industry, closest in size
Atlas Systems'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.