Real-time data and AI/ML platforms for U.S. defense and government
Raft builds data and AI/ML software for the U.S. military and federal agencies, centered on a real-time streaming platform for DoD missions. The stack of Kafka, Flink, Pinot, Trino and Kubernetes points to high-throughput event processing, and job posts reference billions of events per day. Hiring is accelerating, senior-heavy and almost entirely engineering, with a security track focused on ATO compliance and classified environments.
Raft is a privately held defense technology company headquartered in McLean, Virginia, with 201–500 employees. It serves the U.S. military and government agencies, building software that turns complex operational data into decision support. Its work includes a real-time data platform for the DoD, a common operational picture, and fielding its application platform at Fort Hood. The engineering organization works in Java, Scala, Go, Python and Rust on Kubernetes across AWS and Azure. Hiring is concentrated in the United States.
Raft uses Kafka, Kafka Streams, Apache Flink, Apache Pinot and Trino for streaming and analytics. It runs on Kubernetes, Helm and Docker across AWS and Azure, with Prometheus, Grafana and Loki for observability.
Yes. Raft's hiring is accelerating and centered on engineering, mostly at senior, staff and principal levels. It is also hiring in security, all within the United States.
Raft is building a real-time data platform for the DoD and secure Kubernetes infrastructure. It is also fielding its application platform at Fort Hood, developing a common operational picture, and integrating DevSecOps security controls.
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Raft'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.