Job Description
Job Description
Overview: We have several openings at multiple levels (Jr-Sr). As a developer on our team, you will build software leveraging Esri’s products and APIs to build core backend services that solve complex problems at a global scale. From building intuitive AI web interfaces to writing Python for geoprocessing tools and AI agents, you’ll be exposed to the full development lifecycle and cutting-edge GIS solutions.
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:
- US citizenship with Active or Current TS/SCI clearance
- 2+ years of industry 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
- Automation of GIS or data processing tasks
- Experience working in containerized environments (Docker, Kubernetes, or similar)
- Solid fundamentals in:
- API design
- Software/system design
- Testing and debugging distributed services
- Strong problem-solving, communication, and collaboration skills
- Bachelor’s degree in computer science, engineering, GIS, or related technical field (or equivalent practical experience)
Preferred Qualifications:
- Master's in Computer Science, Mathematics, 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 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, etc.)
- Exposure to event-driven architectures, batch processing, or distributed data workflows