Federal IT modernization and cloud infrastructure services
ZenPoint is a federal-focused IT services firm specializing in legacy application modernization, cloud infrastructure, and analytics for government agencies. The tech stack—AWS, Azure, GCP, Kubernetes, Terraform, and ServiceNow—reflects deep cloud and infrastructure automation maturity, while the project backlog (enterprise app modernization, microservices migration, cloud governance) and pain-point concentration (legacy architecture, data migration) show the company is operationally focused on infrastructure transformation work. Senior-heavy hiring (10 of 15 open roles) and engineering-dominant department mix signal capability-building rather than scaling headcount.
ZenPoint Solutions is a woman-owned, 8(a)-certified IT services company founded in 2009 and based in McLean, Virginia. The firm serves federal government agencies and operates across four core practice areas: software engineering and integration, analytics and AI, cloud and cybersecurity, and management and mission services. With 51–200 employees, ZenPoint pursues contract work in complex, security-sensitive environments. Current operational focus centers on modernizing legacy enterprise systems, migrating data workloads to cloud platforms, and implementing cloud governance frameworks—typically for federal clients with strict compliance and quality requirements.
ZenPoint primarily uses AWS, Azure, and GCP for cloud services, with Kubernetes and Docker for containerization, Terraform and CloudFormation for infrastructure-as-code, and .NET, Python, and JavaScript for application development. Analytics work leverages Tableau, Power BI, and Apache Spark.
Current projects include enterprise application modernization, legacy codebase migration to microservices, cloud infrastructure design for lab consolidation, DevSecOps pipeline automation, and RMF (Risk Management Framework) lifecycle implementation for federal compliance.
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.