Geospatial Backend Developer – Multiple Positions at Junior/Mid/Senior Levels
On-siteSt. Louis, Missouri, United States
Job Summary
Build backend services powering geospatial processing, automation, and user-facing capabilities using Node.js, Python, and Java. Develop APIs, proxies, and integration services that extend ArcGIS Enterprise in containerized environments while creating ingestion pipelines across diverse enterprise data sources. Support deployments across cloud-native and on-prem settings, improving reliability through API design, testing, monitoring, and observability. Collaborate with platform, DevOps, and GIS teams to translate requirements into production solutions. This role supports national security client sites in the Northern Virginia and St. Louis, MO areas with up to 15% travel. Active Top Secret Clearance with SCI eligibility is required.
Required Qualifications
- US citizenship
- Active or Current (within two years of active) Top Secret Security Clearance with SCI eligibility
- Bachelor's degree in Computer Science, Engineering, Geographic Information Systems (GIS), or STEM-related field
- 2+ years of experience as a backend software engineer or equivalent practical experience
- Hands-on experience developing backend services using Python, JavaScript/Node.js, Java (for enterprise integrations and services)
- Experience designing and building REST APIs and service-based architectures
- Experience extending or integrating with ArcGIS Enterprise or similar enterprise geospatial platforms
- Familiarity with geoprocessing workflows, proxies and middleware services, and automation of GIS or data processing tasks
- Experience working in containerized environments (Docker, Kubernetes, or similar)
- Solid fundamentals in API design, software/systems design, and testing and debugging distributed services
- Strong problem solving, communication, and collaboration skills
- Active/Current Top Secret Clearance with SCI Eligibility
- Must be available for travel up to 15% of the time
Desired Qualifications
- Master's degree in Computer Science, Engineering, Geographic Information Systems (GIS), or STEM-related field
- Esri certification
- CompTIA Security+ certification
- Experience with containerization technologies such as Docker and Kubernetes
- Familiarity with cloud platforms (Azure, AWS, or GCP)
- Experience with monitoring, logging, and observability tools
- Exposure to DevSecOps practice and secure development pipelines
- Experience with ArcGIS Enterprise SDKs, automation frameworks, or platform extensions
- Experience building services for geospatial analysis, data pipelines, or map services
- Familiarity with enterprise authentication, proxies, and secure service architectures
- Experience with relational and spatial databases (PostgreSQL/PostGIS, SQL Server, etc.)
- Exposure to event-driven architectures, batch processing, or distributed data workflows
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