VSolvit is a Woman-owned federal contractor (201–500 employees, Ventura, CA) serving DoD, USDA, HUD, and foundations with custom cybersecurity, cloud, and data solutions. The company is actively modernizing its tech debt: hiring 26 engineers across Maximo migration, cloud-native refactoring, and Defender XDR deployment, while adopting Docker and Kubernetes to replace aging on-premises infrastructure. Pain points center on staffing cleared technologists and sustaining legacy systems—typical constraints for federal IT shops scaling beyond COTS delivery.
VSolvit delivers technology services to U.S. federal agencies and health sector clients. The company specializes in cybersecurity, cloud computing, GIS, business intelligence, data warehousing, and custom application development. Current work spans Maximo modernization, cloud-native infrastructure transformation, and security hardening (Defender XDR, ACAS scanning). The Microsoft ecosystem dominates (Azure, ServiceNow, Power BI, Defender suite), complemented by Oracle, Java, and open-source tooling (Docker, Kubernetes). The org is engineering-led and actively hiring; challenge areas include recruiting personnel with federal security clearances and sustaining contracts in a competitive federal market.
Azure, ServiceNow, Active Directory, Splunk, Microsoft Defender suite (XDR, Cloud, Endpoint, Identity), Oracle, Java, Power BI, Tableau, Python, .NET, AWS GovCloud, and SQL Server. Currently adopting Docker and Kubernetes.
Maximo migration and modernization, cloud-native infrastructure transformation, Defender XDR deployment, GovCloud migration, ACAS scanning, and federal contract capture and pipeline expansion.
VSolvit'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.