AI/ML and data platform for U.S. defense and government missions
Raft builds AI/ML and data infrastructure for U.S. military and government agencies. The tech stack reveals a defense-grade architecture: graph databases (Neo4j, Neptune, ArangoDB), Kubernetes orchestration, PyTorch/TensorFlow for ML workloads, and observability stacks (Splunk, Grafana, Elasticsearch). Active hiring is heavily skewed toward senior and staff engineers (23 of 30 roles), with only one junior position—indicating they're scaling expertise-intensive, compliance-critical systems rather than building greenfield velocity.
Notable leadership hires: Engineering Lead
Raft delivers AI/ML and data solutions to U.S. defense and government customers. The company operates across three interrelated areas: modernizing legacy systems toward cloud-native architectures (Kubernetes, AWS, Azure), deploying next-generation data platforms with graph and event-streaming foundations, and embedding ML operationalization into mission-critical workflows. Heavy investment in DevSecOps pipelines, continuous monitoring, and compliance automation reflects the regulatory constraints of defense contracting. The organization is based in McLean, Virginia, with engineering capacity in the United States, Peru, and Philippines.
Graph databases (Neo4j, Neptune, ArangoDB), Kubernetes/Helm orchestration, PyTorch/TensorFlow, Apache Airflow, AWS/Azure, Python, vLLM, Docker, GitLab, Splunk, Grafana, Elasticsearch, and React/Vue frontends.
CI/CD pipeline optimization, secure infrastructure automation, event streaming for Army programs, data platform deployment, DevSecOps pipelines, compliance and continuous monitoring systems, and cyber development tools.
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