Backend Software Engineer – TS/SCI

Overview

Build Software that Supports Critical National Security Missions.

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 St. Louis, MO area for this position. 

Responsibilities

• 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

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)
• 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

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