Intelligence and defense contractor providing software, systems, and data engineering
Red Arch Solutions is a U.S. defense and intelligence contractor spanning software, systems, and cloud engineering for national-security customers. The stack reveals a government-hardened infrastructure footprint: Red Hat/CentOS/Ubuntu, Oracle/SQL Server, Kubernetes/OpenShift, with emerging adoption of Secret Server for privileged-access management. The hiring profile is heavily senior-skewed (27 of 34 open roles), concentrated in engineering (27), with active projects in ML operationalization and data-strategy definition—pointing toward deepening AI/ML capabilities within mission-critical workflows.
Red Arch Solutions, founded in 2004 and headquartered in Columbia, Maryland, is a privately held small business (51–200 employees) serving the U.S. intelligence community and defense sector. The company provides tactical and strategic intelligence, systems engineering, software development, and cloud solutions focused on national-security challenges. Its service areas span software engineering, systems engineering, network engineering, database operations, cyber security, program management, cloud engineering, zero trust, and AI/ML. The organization emphasizes employee retention and career stability as a core operational strategy, with current hiring velocity accelerating across engineering and data roles, all within the United States.
Red Arch deploys Red Hat Enterprise Linux, CentOS, Ubuntu, Docker, Kubernetes, and OpenShift for container orchestration. Backend: Python, Java (Spring Framework), Oracle, SQL Server. Governance: GitLab CI/CD, Jenkins, SonarQube. Recently adopting Secret Server for privileged-access management.
Active projects include operationalizing data pipelines and ML tasks, deploying Python-native ML pipelines, implementing AI quality-assurance processes, evolving infrastructure to hyperconverged cloud, managing privileged access, and defining a comprehensive data strategy.
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Red Arch Solutions'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.