Geospatial intelligence platform for defense and federal missions
RGi builds geospatial software and analytics for U.S. Defense and Intelligence agencies, spanning data collection through deep learning and visualization. The tech stack (Python, C#, ArcGIS, Kubernetes, Apache NiFi, Databricks) reflects a mature data-processing foundation, while active projects signal a shift toward infrastructure modernization and devsecops maturity — particularly around containerized microservices in classified environments. Hiring remains engineering-focused (16 of 21 active roles) with a senior-heavy mix, indicating either specialized domain constraints or scaling production systems.
Reinventing Geospatial operates as a 51–200-person geospatial and software consulting firm based in Fairfax, Virginia since 2009. The company serves mission-critical Defense, Intelligence, and Federal customers, delivering solutions that combine data processing, geospatial visualization, advanced analytics, and deep learning. Project work spans R&D prototyping, large operational programs, and integration across classified and commercial environments. Core technical areas include situational awareness, computer vision, C5ISR (command, control, communications, computers, intelligence, surveillance, and reconnaissance), and cyber threat analytics.
RGi's primary stack includes Python, C#, ArcGIS, Kubernetes, Docker, Apache NiFi, Databricks, AWS, Azure, and OpenStack. The company also uses infrastructure-as-code tooling (Ansible), container orchestration, and GitLab for version control.
Yes. RGi has 16 active engineering roles (out of 21 total open positions), with 11 at senior level and 9 at mid-level. Hiring is currently decelerating and limited to the United States.
Active projects include OpenStack infrastructure modernization, devsecops pipelines and container orchestration, Databricks environment administration, secure microservices architecture for classified cloud, and infrastructure-as-code deployment automation.
Other companies in the same industry, closest in size