> Markdown version of [/jobs/ext/4011028-software-development-engineer-ii-back-end](https://www.wearedevelopers.com/jobs/ext/4011028-software-development-engineer-ii-back-end). 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). --- # Software Development Engineer II - Back End - **Company:** Environmental Systems Research Institute, Inc. - **Location:** St. Louis, MO, 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), Artificial Intelligence, Amazon Web Services, Proxy Servers, ArcGIS (Software), Microsoft Azure, Batch Processing, Cloud Computing, CompTIA Security+, DevOps, Distributed Data Store, Middleware, Spatial Databases, Human-Computer Interaction, 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, Scripting, Data Ingestion, Grafana, Backend, Event Driven Architecture, Containerization, Kubernetes, Information Technology, Api Design, Restful APIs, Data Pipelines, Devsecops, Docker - **Published:** October 29, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-development-engineer-ii-back-end-saint-louis-mo--34b42cd4-b593-45cc-9d04-c0ee01df6c0d ## About the Role Software Development, Software Engineering, Product Lifecycle, Problem Solving Skills, Application Programming Interface (API), Python Programming/Scripting Language, Mentoring, Web Interface, Artificial Intelligence (AI) Agents, Geographic Information Systems (GIS), * 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 * Bachelors degree in Computer Science, Mathematics, Geographic Information Systems (GIS), or STEM related field, * Masters 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 * 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