Federal IT contractor for software modernization, cloud and DevSecOps
ZenPoint Solutions is a McLean-based federal IT contractor whose stack centers on government-grade cloud (Azure Government, AWS, GCP) and a mature DevSecOps toolchain: Jenkins, SonarQube, Nexus IQ, Nessus, Terraform and Bicep. OpenShift adoption plus Kubernetes and Helm point to containerized modernization work, and job posts stress legacy rebuilds and ATO upkeep. Hiring is accelerating, led by senior and lead engineers, with legal and sales roles backing proposal growth.
Notable leadership hires: Technical Lead
ZenPoint Solutions is a privately held, 8(a) certified, woman-owned IT services firm founded in 2009 and headquartered in McLean, Virginia. It serves Federal government agencies with software engineering and integration, analytics and AI, cloud and cybersecurity, and management and mission support services. The company employs 51–200 people and hires within the United States. Its delivery work spans Java, .NET and Python development, Azure and AWS infrastructure, and reporting in Tableau and Power BI.
ZenPoint uses AWS, Azure Government, GCP, Kubernetes, Docker, Helm, Terraform, Jenkins, SonarQube, Nexus IQ, Nessus, Java, .NET, Python, ServiceNow, Tableau and Power BI, and is adopting OpenShift.
Yes. Hiring is accelerating and weighted toward engineering, especially senior and lead roles including a Technical Lead, with additional legal and sales openings in the United States.
Job posts point to legacy and enterprise platform modernization, CI/CD pipeline improvements, an enterprise-level federal customer initiative, and a high-availability global IT environment.
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ZenPoint Solutions 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.