Defense-focused systems engineering and cybersecurity consulting
OPS Consulting engineers mission-critical infrastructure for U.S. defense and intelligence agencies. The tech stack—Assembly, C++, Java, NIST RMF, Cisco networking, and HPC tools (LSF, SLURM, Lustre)—reflects deep expertise in secure, high-performance systems. Active hiring is concentrated in engineering and security (19 of 25 roles), with a senior-heavy mix (17 of 24), indicating sustained demand for architects and threat specialists rather than junior scaling.
OPS Consulting is a 51–200 person consulting firm based in Hanover, MD, founded in 1999. The company delivers software engineering, systems integration, and cybersecurity solutions primarily to U.S. government defense and intelligence customers, with selective private-sector work. Core competencies span the full software lifecycle—requirements, design, implementation, testing, deployment—plus network security, code analysis, and intelligence analysis. Current project work centers on secure enterprise architectures, HPC reliability and optimization, network boundary design, and next-generation front-end prototypes. The organization faces persistent technical challenges in HPC scalability and performance, cross-discipline coordination, and system integration complexity.
Assembly, C++, Java, Python, Perl for development; NIST RMF, Cisco (IOS, NX-OS, ASA), F5, TACACS+ for security; Red Hat, SUSE, Lustre, GPFS, LSF, SLURM for HPC and enterprise infrastructure.
Secure enterprise boundary and datacenter architecture design, HPC performance and reliability optimization, network access control (Layer 3/4), advanced front-end prototypes, and system integration and testing across heterogeneous environments.
OPS Consulting, LLC'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.