Intelligence and defense solutions built on cloud data infrastructure
Orbis is a defense and intelligence contractor (founded 2008) operating a polyglot data and systems engineering stack—Python, Pandas, cloud platforms (AWS/GCP/Azure), Kafka, Kubernetes, Jenkins—paired with consulting and research capabilities. The hiring mix skews heavily senior (8 of 13 open roles) and engineering-focused, while active projects span federated data mesh development, metrics modernization, and cloud-to-self-managed architecture transitions, suggesting internal infrastructure maturation and a shift toward operational data reliability.
Orbis provides solutions to government and defense clients on intelligence, cybersecurity, and strategic technology challenges. The company operates from McLean, Virginia, with a lean 51–200-person team. Internally, they are modernizing their own metrics and monitoring systems, building a federated data mesh (Orbis Catalyst), and managing a transition from fully managed to self-managed cloud infrastructure. Projects span proposal development, system integration testing, microservices deployment, and post-capture program support, indicating both client delivery and internal platform work.
Python, Pandas, NumPy for data work; AWS, GCP, Azure for cloud; Kafka for streaming; Kubernetes and Docker for orchestration; Jenkins, GitHub Actions, GitLab for CI/CD; Power BI and Matplotlib for analytics.
Core projects include Orbis Catalyst (federated data mesh), metrics and monitoring modernization, cloud-to-self-managed architecture transition, microservices deployment, and financial system upgrades. Client-facing work includes capture planning, proposal development, and post-engagement program support.
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