Government IT modernization, cybersecurity and compliance services firm
ASSYST is a Sterling, VA government technology contractor focused on legacy application modernization, data engineering and security authorization work. Its stack pairs a Java/Spring and Angular application layer with a Microsoft data tier (Azure Synapse, Power BI, Purview) across AWS, Azure and GCP. Accelerating, senior-heavy hiring concentrated in engineering and security tracks active RMF authorization and continuous monitoring programs.
ASSYST is a privately held technology and consulting firm founded in 1993 and headquartered in Sterling, Virginia, with 51–200 employees. It serves government agencies, including defense and health IT programs, with services spanning cybersecurity, governance and compliance, cloud engineering, application modernization, data engineering and managed services. The firm holds CMMC, CMMI Maturity Level 3 and multiple ISO certifications. Its product portfolio includes ComplySyncATO, a continuous authorization platform, and PhoenixGA for AI-assisted application modernization. Hiring is focused in the United States.
ASSYST works with Java, Spring Boot, Angular and TypeScript, data tools like Azure Synapse, Power BI and Microsoft Purview, databases including PostgreSQL, Oracle and MongoDB, and AWS, Azure and GCP clouds.
Yes. Hiring is accelerating and weighted toward senior engineering and security roles, with additional openings in data, operations, sales and support, all in the United States.
Current work includes legacy application modernization, the WITS workforce IT solution modernization, Power BI on Azure Synapse, Purview data governance controls, and RMF authorization with continuous monitoring.
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ASSYST'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.