Veteran-owned defense IT engineering, C2 systems and cloud support
CommIT Enterprises is a veteran-owned federal contractor supporting military command-and-control and enterprise systems. Its stack leans heavily on on-prem infrastructure (VMware vSphere, NetApp, RHEL, Cisco UC) hardened with ACAS, Nessus and Ansible, alongside Databricks and Delta Lake for analytics. Senior-weighted hiring that is accelerating, combined with recurring DISA STIG compliance and migration pain points, points to infrastructure modernization work under strict DoD security controls.
CommIT Enterprises, founded in 2001 and headquartered in Stafford, Virginia, is a privately held, Certified Veteran-Owned Small Business with 51–200 employees. It provides systems engineering, acquisition management, training, software development, cloud engineering, cybersecurity and data analytics to federal customers, including the Department of Veterans Affairs and Department of Defense programs. Its work spans command-and-control and decision support systems, logistics modernization and USMC training. The company maintains offices in Fredericksburg, VA and Charleston, SC and supports customers at locations within and outside the continental US.
CommIT's stack includes VMware vSphere/ESXi, NetApp, Red Hat Enterprise Linux, Ansible, ACAS, Nessus, Microsoft Exchange, Intune, BMC Remedy, Cisco UC tools, AWS, Azure, GitLab, Jira, Databricks and Delta Lake.
Yes. Hiring is accelerating and centered on engineering, with operations and support roles as well, mostly at senior level, all in the United States.
CommIT Enterprises is headquartered in Stafford, Virginia, with offices in Fredericksburg, VA and Charleston, SC.
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CommIT Enterprises, 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.