Defense and federal IT modernization: cloud migration, zero-trust networks, and mission systems
FEDITC is a government IT and cybersecurity services firm built around Defense and federal agency modernization work. The tech stack—Azure Government, AWS GovCloud, Splunk, Palo Alto Networks, plus governance tools (Intune, Active Directory, ServiceNow)—reflects a contractor optimized for compliance-heavy, air-gapped environments. Active adoption of Azure and a heavy engineering + security hiring mix (42 and 27 roles respectively) signal acceleration in cloud migration and zero-trust architecture projects, especially across DHS and DFAS contracts.
Notable leadership hires: Platform Engineering Lead
FEDITC, founded in 2003 and based in Rockville, MD, provides cyber security, IT modernization, and mission-critical systems engineering to U.S. federal agencies and Department of Defense. The firm holds ISO 9001, ISO 20000-1, ISO 27001, and CMMI Level 3 certifications. Current project portfolio spans network modernization (DHS St. Elizabeth campus, MHS mission network design), cloud migration (DHS cloud solutions implementation, DFAS Common Computing Environment accreditation), vulnerability assessment (ACAS/Nessus-based evaluations against DISA STIGs), and compliance initiatives (zero-trust architecture, RMF accreditation). The company operates entirely within U.S. federal contracting markets, with 201–500 employees and accelerating hiring velocity.
Core tools: Azure Government, AWS GovCloud, Splunk, Palo Alto Networks, ServiceNow, Cisco, VMware. Security scanning: ACAS, Nessus, SCAP. Identity/access: Active Directory, Azure AD, Intune. Infrastructure as code: Terraform, Ansible, GitLab CI/CD. Currently adopting Azure at scale.
Defense and federal agency modernization: DHS St. Elizabeth campus network modernization, DHS cloud implementation, DFAS Common Computing Environment RMF accreditation, zero-trust network architecture, FMS financial data collection automation, vulnerability assessments using ACAS/Nessus/SCAP.
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FEDITC'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.