Backend Developer

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

2+ years of professional backend software engineering experience Professional experience developing backend services using Python, JavaScript/Node,js and Java

US Citizenship with Active or Current Top Secret Security Clearance with SCI eligibility (within 2 years) Bachelors Degree is a requirement, 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 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, and more) Exposure to event-driven architecture, batch processing, or distributed data workflows