Backend Developers (Jr-Sr)

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 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: Proxies and middleware services Automation of GIS or data processing tasks Experience working in containerized environments (Docker, Kubernetes, or similar) Solid fundamentals in: 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 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 #J-18808-Ljbffr Aqua IT