Managed back-office, IT and cybersecurity services for GovCons and nonprofits
NeoSystems runs outsourced accounting, HR, IT and security operations for government contractors and nonprofits from Reston, Virginia. Its stack is overwhelmingly Microsoft security, with the full Defender suite, Sentinel, Purview, Entra ID and Azure Government, plus Qualys and Tenable for scanning. Accelerating hiring split between engineering and security, alongside Sentinel and zero trust projects, points to a growing managed SOC built around CMMC 2.0 demand.
NeoSystems LLC is a privately held provider of managed back-office services founded in 2003 and headquartered in Reston, Virginia. It handles accounting, finance, payroll, HR, IT and information security for government contractors and nonprofit organizations, with specialties including Deltek Costpoint, Cobra EVM, IBM Cognos and FedRAMP hosting. The company also resells Microsoft cloud licensing across Azure Commercial, Azure Government and M365 GCC and GCC High. It employs 51–200 people and hires in the United States.
NeoSystems relies on Microsoft Defender XDR, Microsoft Sentinel with KQL, Purview, Entra ID, Azure Government and Azure Virtual Desktop, plus Qualys, Tenable and Nessus, and Kubernetes, Docker, Terraform and Jenkins for infrastructure.
Yes. CMMC 2.0, NIST and DFARS compliance appear repeatedly in its job posts, and CMMC is part of its tracked stack alongside Microsoft Purview and Defender tooling used for regulated defense environments.
Yes. Hiring is accelerating and concentrated in engineering and security, mostly mid and senior roles in the United States, focused on Sentinel threat hunting, detection workflows and SOC tooling.
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NeoSystems LLC'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.