Federal cybersecurity and mission-critical systems engineering
MartinFed builds offensive/defensive cybersecurity, IT, and software solutions for DoD and federal agencies running 24/7 mission-critical programs. The stack—React, Vue, Kubernetes, AWS EKS, Python, Go, C++, PostgreSQL, GraphQL—reflects a modern SaaS infrastructure maturity, yet the hiring mix is heavily weighted toward security (4 roles) and engineering (6), with senior-level dominance (9/12 open roles), suggesting a shift toward higher-complexity DoD compliance and assessment work rather than feature velocity.
Notable leadership hires: Cybersecurity Support Lead, Cyber Compliance Lead, Assessment & Authorization Lead
MartinFed is a 51–200 person private firm headquartered in Huntsville, Alabama, founded in 2007. They serve federal and DoD customers with cybersecurity (red team, risk assessment, vulnerability analysis), IT operations, software development, and systems engineering. Active projects span DoD assessment and authorization, SIEM deployment, navy compliance inspections, network simulation, and data ingestion strategy. Current pain points center on DoD compliance enforcement, vulnerability management, large task-order delivery, and threat monitoring in complex mission environments.
Kubernetes (RKE2, AWS EKS), React/Vue/TypeScript for frontends, Python/Go/C++ for backends, PostgreSQL + GraphQL for data, ArgoCD/Flux for CI/CD, distributed storage (Lustre, Ceph, NetApp, WEKA).
DoD assessment and authorization, SIEM deployment, navy cybersecurity compliance, network-centric warfare simulation, vulnerability management, data ingestion strategy, and federal community cybersecurity support.
MartinFed'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.