Defense IT, cybersecurity, network engineering and energy services contractor
FEDITC is a Rockville-based defense contractor delivering cybersecurity, network engineering and energy management for DoD missions. Its stack pairs Cisco and Palo Alto networking with Python network automation (Netmiko, PyATS, Ansible, Terraform, GitLab CI/CD) and model-based systems engineering tools like Cameo, Rhapsody and DoDAF. Hiring is accelerating and engineering- and security-heavy, centered on vulnerability assessment and joint network interoperability work.
Notable leadership hires: Business Development Lead
FEDITC, founded in 2003 and headquartered in Rockville, MD, is a privately held services firm with 201–500 employees. It provides cybersecurity and information assurance, secured network communications, software engineering, ERP, health IT and energy and environmental engineering services. Its primary customer is the U.S. Department of Defense, supporting national security systems and networks worldwide. The firm holds ISO 9001, 20000-1 and 27001 certifications and is CMMI level 3 rated. Hiring is focused within the United States.
FEDITC uses Cisco IOS, Palo Alto Networks, VMware, Hyper-V, Python (Flask, Django, Netmiko, PyATS), Ansible, Terraform, Docker, GitLab CI/CD, Tableau, and systems modeling tools like Cameo and Rhapsody.
Yes. FEDITC's hiring is accelerating and weighted toward engineering and security roles, mostly at senior and mid levels, all based in the United States.
Current work includes joint and coalition network assessments, the NCCS 2.0 program, network deficiency remediation plans, vulnerability assessments with ACAS, Nessus and SCAP, and energy conservation measures.
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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.