Mid Backend Developer

Chenega Corporation•Wolf Trap, VA

21h•Onsite

About The Position

Chenega Agile Real-Time Solutions (CARS) was created with the purpose of providing integrated enterprise IT support to Federal customers both CONUS and OCONUS. CARS employs Subject Matter Experts (SMEs) with decades of experience working in the Federal marketplace. As a Mid Backend 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.

Requirements

Bachelor’s degree in computer science, engineering, GIS, or related technical field (or equivalent practical experience)
3+ years of industry experience as a backend software engineer or equivalent practical experience
Hands-on experience developing backend services using: Python, JavaScript / Node.js, 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
Experience working in containerized environments (Docker, Kubernetes, or similar)
Active or Current (within two years of active) Top Secret Security Clearance with SCI eligibility

Nice To Haves

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 architectures, batch processing, or distributed data workflows

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 the platform, DevOps, and GIS teams to translate requirements into production solutions
Other duties as assigned