M.C. Dean is a systems integrator serving federal and defense customers, with active hiring across 63 roles concentrated in engineering (27) and security (21). The tech stack reflects deep infrastructure expertise—Workday, VMware, Splunk, Schneider Electric, SCADA, and security platforms (Nessus, Genetec, Brivo)—paired with projects around DoD STIG implementation, RMF documentation, and network resilience. Current pain points center on preventative maintenance, complex network migrations, and compliance automation, suggesting the firm is scaling operational depth to handle larger, more complex system deployments.
M.C. Dean operates as a systems integrator and engineering firm based in Chantilly, Virginia, serving federal, defense, and mission-critical infrastructure customers. The company designs and deploys complex resilient systems, handles system integration testing, and manages network installations with DoD compliance requirements. Active projects include work for the U.S. Air Force Education and Training Center, architectural frameworks for resilient infrastructure, and automation of engineering workflows. The firm is actively recruiting across engineering, security, and operations roles, signaling expansion in delivery capacity and technical depth.
M.C. Dean uses Workday, VMware, Splunk, Nessus, Schneider Electric, Niagara, SCADA, Siemens, APC, Eaton, and security platforms including Genetec, Brivo, and Lenel S2 for infrastructure, monitoring, and compliance.
Active projects include U.S. Air Force Education and Training Center systems, DoD STIG implementation, RMF documentation development, network installations, system integration testing, and automation of engineering processes.
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Unofficial M.C. Dean'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.