Defense-focused software, cyber and intelligence engineering contractor
OPS Consulting is a Hanover, MD defense contractor building mission software and cyber capabilities for US national security customers. Its stack pairs low-level languages (Assembly, C++, GCC) and packet tools (tcpdump, Wireshark, Suricata) with SIEM platforms like Splunk, ArcSight and LogRhythm, which points to network analysis and security operations work. Llama and Mistral alongside NIST RMF suggest local LLM work within accredited environments. Hiring is senior-heavy and engineering-led.
OPS Consulting, founded in 1999 and headquartered in Hanover, Maryland, is a privately held firm of 51–200 employees. It engineers and deploys mission solutions supporting the security of the US and its allies, covering the full software development lifecycle from requirements and design through testing, training and installation. Its specialties include code analysis, systems and software engineering, business management services and intelligence analysis. The workforce spans developers, engineers, cyber specialists, linguists and analysts, and it serves government and private-sector clients.
OPS Consulting uses C++, Java, Python, Assembly and Perl, network tools like Wireshark, tcpdump and Suricata, SIEMs such as Splunk, ArcSight and LogRhythm, plus Docker, Cisco networking gear and Llama and Mistral models.
OPS Consulting is headquartered in Hanover, Maryland, United States, and all of its hiring is US-based.
Yes. Engineering is its largest hiring area, followed by data, security and operations roles, mostly at senior level. Recent posting activity is minimal.
Other companies in the same industry, closest in size
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.