Defense and intelligence software platform for government and national security
Orbis is a government-focused software and solutions firm founded in 2008, operating across cybersecurity, intelligence analysis, and defense technology. The stack—C++, Python, Kafka, Docker, Kubernetes, AWS—maps to a modern cloud-native and data-processing infrastructure, while active projects (microservices deployment, sensor integration, cloud-based system development) and hiring momentum (12 roles posted in 30 days, accelerating) indicate a shift toward scalable, distributed systems. The pain-point cluster around operational data flow reliability and monitoring modernization suggests Orbis is rebuilding internal observability and data pipelines to support intelligence-community workflows at scale.
Orbis delivers software, consulting, and intelligence analysis solutions to U.S. government and defense sector clients. The company, based in McLean, Virginia, serves public-sector agencies and allied partners with capability in cybersecurity, targeting, and strategic analysis. Their project portfolio spans cloud-native system development, sensor integration platforms, microservices architecture, and qualitative research and evaluation for intelligence units. Orbis operates as a mid-sized private firm with engineering and research-led operations, supported by federal contracting functions and sales coverage tied to government procurement cycles.
Orbis runs C++, Python, Kafka, Docker, Kubernetes, Terraform, AWS, Elasticsearch, Jenkins, and GitLab. The stack emphasizes cloud infrastructure (AWS, Terraform, CloudFormation), containerization (Docker, Kubernetes), streaming/data processing (Kafka, NiFi), and observability (Elasticsearch, Kibana, Grafana).
Active projects include microservices deployment, cloud-based system development and integration testing, sensor integration platforms, metrics and monitoring modernization, and qualitative research and program evaluation for intelligence community clients.
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Orbis'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.