Cloud infrastructure and big data systems for U.S. Intelligence and Defense
Whiteboard Federal Technologies builds mission-critical software for the Intelligence Community and DoD, with a stack centered on AWS/Azure, Kubernetes, and big data tools (Spark, Hadoop, Cassandra). The engineering-heavy hiring mix—9 engineers, 4 ops, 1 data role—paired with active projects around automated testing, cloud deployment, and DevOps strategy reflects a company scaling infrastructure complexity: they're managing hybrid cloud transitions, petabyte-scale data systems, and the operational burden of keeping legacy and modern systems in sync.
Whiteboard Federal Technologies, founded in 2009 and headquartered in Reston, Virginia, specializes in engineering and systems integration for cleared government customers. The company focuses on enterprise-scale software development, R&D initiatives, and proof-of-concept work across cloud and big data domains. Their project portfolio spans automated testing frameworks, cloud deployment automation, and enterprise-wide systems design, with particular emphasis on analytics-heavy workloads running on AWS and Azure. The 51–200 person team is primarily distributed across engineering and operations roles.
AWS, Azure, Kubernetes, Docker, Jenkins, Terraform, Python, Java, Angular, React, Apache Spark, Hadoop, Cassandra, and DynamoDB. The stack reflects cloud-native infrastructure combined with big data analytics capabilities.
Active projects include automated testing frameworks, cloud deployment automation to AWS/Azure, enterprise-wide systems design, security/DevOps strategy integration, and deployment monitoring tools.
Whiteboard Federal Technologies'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.