> Markdown version of [/jobs/ext/3737008-backend-software-engineer-ts-sci](https://www.wearedevelopers.com/jobs/ext/3737008-backend-software-engineer-ts-sci). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Backend Software Engineer - TS/SCI - **Company:** Environmental Systems Research Institute, Inc. - **Location:** Vienna, VA, United States - **Experience:** Experienced - **Salary:** $97,240.0 - $162,240.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Geographic Information Systems, Application Programming Interfaces (APIs), Amazon Web Services, Proxy Servers, ArcGIS (Software), Microsoft Azure, Batch Processing, Cloud Computing, CompTIA Security+, Distributed Data Store, Middleware, Spatial Databases, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Node.Js, PostGIS, Secure Coding, Service-Oriented Architecture, Software Engineering, Systems Integration, Esri GIS (Software), Data Logging, Data Processing, Enterprise Software Applications, Data Ingestion, Grafana, Software Security, Backend, Event Driven Architecture, Containerization, Kubernetes, Information Technology, Data Management, Api Design, Restful APIs, Data Pipelines, Devsecops, Docker - **Published:** October 14, 2026 - **Apply:** https://diversityjobs.com/career/18629902/Backend-Software-Engineer-Ts-Sci-Virginia-Vienna ## About the Role * 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, * 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 #LI-SS2 ## Description Join Esri`s Professional Services team and develop the backend services, APIs, integrations, and data capabilities that power mission-critical geospatial solutions. You`ll work across Python, Java/Node.js, APIs, cloud and containerized environments while helping Defense and Intelligence customer solve complex technical problems. Esri has a Relocation Assistance Program and can provide support with relocating to the Vienna, VA area for this position. What You`ll Work On: * Backend services and REST APIs * Python, Java and Node.js development * Enterprise system integrations * Data ingestion and processing workflows * Cloud and containerized environments * Docker and Kubernetes * Secure software architectures * ArcGIS Enterprise integrations * Reliability, testing, monitoring, and observability