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Raft Tech Stack

AI/ML and data platform for U.S. defense and government missions

Software Development McLean, Virginia 201–500 employees Privately Held

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.

Tech Stack 110 technologies

Core StackNeo4j Kubernetes Helm AWS Python PyTorch TensorFlow Apache Airflow Istio Docker Puppet GitLab Splunk Grafana Elasticsearch Figma Sketch JavaScript React Vue Amazon Neptune ArangoDB Azure MinIO Bash vLLM Model Context Protocol Adobe XD HTML CSS+78 more

What Raft Is Building

Challenges

  • Automating critical infrastructure
  • Ensuring compliance with dod security requirements
  • Modernizing legacy applications
  • Modernizing legacy systems
  • Operationalizing ai at scale
  • Extracting insights from customer data
  • Maintaining authority to operate
  • Compliance monitoring
  • Continuous monitoring
  • Complex workflows

Active Projects

  • Ci/cd pipeline optimization
  • Secure automated infrastructure components
  • Event streaming applications for army programs
  • Next generation data platform deployment
  • Compliance monitoring program
  • Continuous monitoring program
  • Devsecops pipelines
  • Cyber development tools
  • Cluster lifecycle management
  • Ci/cd pipeline construction

Hiring Activity

Accelerating35 roles · 15 in 30d

Department

Engineering
23
Data
3
Security
3
Design
1

Seniority

Senior
16
Mid
5
Staff
4
Principal
3
Junior
1
Lead
1

Notable leadership hires: Engineering Lead

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About Raft

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.

HeadquartersMcLean, Virginia
Company Size201–500 employees
Hiring MarketsUnited States, Peru, Philippines

Frequently Asked Questions

What tech stack does Raft use?

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.

What is Raft working on?

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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