Geospatial Systems Engineer

Containerization & Infrastructure: Architect, deploy, and manage containerized geospatial microservices using Docker, Kubernetes, and OpenShift. Build and maintain CI/CD pipelines with automated testing, Static Code Analysis, and Container Security Scanning.

Enterprise GIS Architecture: Design, integrate, and optimize enterprise GIS platforms (ArcGIS Enterprise/Pro, GeoServer, PostGIS) and interoperable OGC-compliant web services (WMS, WFS, WMTS, OGC API – Features).

Data Pipelines & AI/ML: Develop enterprise geospatial data pipelines supporting acquisition, transformation, spatial analysis, and AI/ML model integration.

Security & Compliance: Ensure all systems strictly comply with Risk Management Framework (RMF), STIGs, vulnerability remediation, and IC cybersecurity policies.

Technical Leadership: Lead Agile/Scrum engineering workflows, conduct architecture and code reviews, and mentor software personnel across the lifecycle.

Clearance & Citizenship: Active TS/SCI security clearance; U.S. Citizenship required.

Experience: 10+ years in systems/software engineering and enterprise GIS integration (minimum 5+ years supporting DoD/IC programs).

Education: Bachelor’s or Master’s degree in CS, Software Engineering, GIS, or a related technical discipline.

Containerization & DevSecOps: Deep hands-on experience deploying and orchestrating containerized applications with Docker, Kubernetes, and OpenShift, along with automated CI/CD security workflows.

Geospatial Stack: Mastery of ArcGIS Enterprise/Pro, GeoServer, QGIS, PostGIS/PostgreSQL, and OGC standards implementation.

Software Engineering: Advanced proficiency in Python, JavaScript, SQL, and C++ or C#.

Security Standards: Demonstrated expertise in RMF, STIG compliance, and secure SDLC practices.

Relevant technical certifications (CKA/CKAD for Kubernetes, AWS/Azure, CISSP, or GISP).

Experience with cloud-native geospatial microservices and AI/ML pipeline integration.