PGTEK delivers data center, storage, networking and virtualization services, with a stack anchored in VMware vSphere, vSAN, NSX and Cloud Foundation plus hyperscaler VMware offerings on AWS, Azure and GCP. Adoption of OpenShift and OpenStack alongside replacement of vSphere and Aria Operations points to clients moving off legacy VMware estates. Accelerating, senior-heavy engineering hiring tracks with DoD compliance and FedRAMP work.
PGTEK is a privately held IT infrastructure services firm headquartered in Ashburn, Virginia, founded in 2002 and employing 51–200 people. It provides assessment, architecture, installation and on-site residency services covering data storage, networking and system virtualization. Clients include OEMs, infrastructure software vendors, and private and public sector organizations, with a strong focus on federal civilian agencies, the US military and the Intelligence Community. The firm holds federal prime and subcontracts and supports work outside the continental US at military installations. Specialties include geospatial and analytic solutions, datacenter solutions and government contracting.
PGTEK works heavily with VMware vSphere, ESXi, vSAN, NSX and Cloud Foundation, plus Terraform, Ansible, Python, Kubernetes, GCP, Red Hat Enterprise Linux, NVIDIA GPUs, Dell and Commvault.
Yes. Hiring is accelerating and dominated by engineering, mostly senior-level, with smaller openings in operations and security, all based in the United States.
Active projects include enterprise cloud modernization, hybrid cloud deployments, Morpheus cloud management implementation, FedRAMP authorization efforts and Google Cloud and Gemini for Government deployments.
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PGTEK'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.
