Software Development Engineer II - Back End

Overview

In this position, you will build software leveraging Esri`s products and APIs to build core backend services that solve complex problems at a global scale. This is a unique opportunity to grow your technical skills while contributing to projects that matter. You`ll work alongside engineers and mentors in a collaborative, cross-functional environment that values learning, innovation, and purpose. 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. 

This team supports Defense and Intel clients. You will be part of a talented cross-functional team of dynamic and passionate engineers to deliver capabilities that enable our customers to make a difference in communities around the world. You will be part of a team that influences lasting contributions for communities with the web and mobile applications you create.

The Professional Services division is the consulting and implementation arm of Esri. We break ground in new markets, push the technology envelope and ultimately deliver transformational solutions to high profile clients worldwide. The Professional Services organization is comprised of nearly 1,000 talented business and technical professionals who strive every day to help our users be successful.

Esri has a Relocation Assistance Program and can provide support with relocating to the St. Louis, MO area for this position. 

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

• 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)


• Soldi 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 in Computer Science, Mathematics, Geographic Information Systems (GIS), or STEM related field

Recommended 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 architecture, batch processing, or distributed data workflows

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