Job Description
Responsibilities
- Build backend services that power geospatial processing, automation, and user-facing capabilities
- Develop APIs, proxies, and integration services using Node.js and Python
- Create and maintain backend tooling that extends ArcGIS Enterprise in containerized environments
- Develop and maintain geoprocessing services, automation scripts, and operational workflows
- Build connectors and ingestion pipelines across diverse enterprise data sources
- Support deployments across cloud-native and on-prem environments
- Improve reliability and performance through API design, testing, monitoring, and observability
- Collaborate with platform, DevOps, and GIS teams to translate requirements into production solutions
Requirements
- 2+ years of professional backend software engineering experience
- Professional experience developing backend services using Python, JavaScript/Node,js and Java
- 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/system design, and testing and debugging distributed services
- Strong problem-solving, communication, and collaboration skills
- US citizenship with Active or Current (within 2 years of active) Top Secret Security Clearance with SCI eligibility
- Bachelor’s degree in Computer Science, Mathematics, Geographic Information Systems (GIS), or STEM related field
Recommended Qualifications
- Master’s degree in Computer Science, Mathematics, Geographic Information Systems (GIS), or Stem related field
- 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 practices 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, and more)
- Exposure to event-driven architecture, batch processing, or distributed data workflows
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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