Custom software and IT services for federal, state, and enterprise clients
VLS Systems is a 30-year-old IT services firm serving federal agencies, state governments, and Fortune 1000 companies across financial services, banking, insurance, and manufacturing. The tech stack reflects a legacy modernization focus—heavy .NET and Java presence alongside Oracle and SAP—with active projects centered on migrating monolithic applications to microservices and rebuilding reporting infrastructure. Current hiring leans senior (4 of 6 roles) across engineering and data, suggesting a shift toward higher-complexity modernization delivery rather than pure staff augmentation.
VLS Systems provides custom software development, system integration, IT staff augmentation, and packaged software products to federal and state government agencies and Fortune 1000 enterprises. The firm operates from headquarters in Chantilly, VA with offshore delivery centers. Service areas span ERP, CRM, data warehousing, business intelligence, ecommerce strategy, and network architecture. Core technical competencies include .NET/C# and Java backends, Oracle and SAP platforms, Power BI analytics, and Salesforce implementations. The company is actively engaged in legacy application modernization, microservices migration, and agency modernization initiatives.
Primary stack: C#, .NET, ASP.NET, .NET Core on backend; Angular and React on frontend; Oracle and SAP (FI/CO, ECC) for enterprise platforms; Power BI for analytics; Salesforce with OmniStudio for CRM solutions.
Chantilly, VA. The company operates delivery centers in the United States and offshore, founded in 1995 with 51–200 employees.
VLS Systems Inc'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.