Job marketplace for defense contractors and cleared-credential professionals
ClearanceJobs operates a two-sided recruitment network connecting security-cleared job seekers with defense and aerospace employers. The tech stack reveals a dual operational footprint: Windows-native enterprise systems (ASP.NET, SQL Server, Oracle, Azure DevOps) alongside cloud-native infrastructure (GCP, AWS, AWS GovCloud). Active adoption of Microsoft Power Platform signals a shift toward low-code internal tooling, while engineering-heavy hiring (13 roles, mostly senior/mid-level) focused on cloud security guardrails, automated threat detection, and legacy application modernization suggests the core product is transitioning from a straightforward job board toward infrastructure-as-code and compliance automation.
ClearanceJobs.com is a public-company career marketplace for professionals holding active federal security clearances (DoD, State, Energy) and defense contractors seeking to hire them. Founded in 2002, the platform operates as a two-sided network: job seekers post resumes and browse curated defense positions; recruiters post openings and search pre-screened cleared candidates. The company is headquartered in Centennial, CO, and employs 51–200 people. Current initiatives span modeling and simulation of missile systems, cloud security posture monitoring, compliance and authorization automation, and modernization of legacy systems onto cloud infrastructure. All hiring is within the United States.
ClearanceJobs uses AWS, GCP, ASP.NET, SQL Server, Oracle, Terraform, and AWS GovCloud. The company is actively adopting Microsoft Power Platform (Power Apps, Power BI, Power Automate, Dynamics 365) for internal tooling modernization.
Current projects include cloud security guardrails implementation, automated security testing pipelines, cloud security posture monitoring, modeling and simulation of missile systems, and modernization of legacy applications onto the Power Platform.
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ClearanceJobs'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.