Senior Backend Developer

Senior Backend Developer

Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer's core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level! 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 Senior 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.

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

Qualifications

Bachelor's degree in computer science, engineering, GIS, or related technical field (or equivalent practical experience)

5+ 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

Preferred 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 architectures, batch processing, or distributed data workflows

Knowledge, Skills, and Abilities:

Ability to work independently and yet be effective within a team setting

Must be capable of managing multiple efforts with time-related constraints in a fast-paced contracting environment

Demonstrated ability to effectively communicate and collaborate with diverse internal and external stakeholder groups and individuals

Friendly presence, helpful attitude, good interpersonal skills, and ability to work well with others.

Excellent skills in Microsoft Word, Excel, and other Office applications

Proficient with Microsoft Office Applications, and experience working in a home office setting, as well as the ability to train end users on frequently asked technical issues.

Ability to provide technical assistance and support over the phone; good phone skills, professional demeanor, and previous customer service experience strongly desired.

Good problem-solving skills; ability to visualize a problem/situation and think abstractly to solve it

Familiarity with:

Geoprocessing workflows

Proxies and middleware services

Automation of GIS or data processing tasks

Solid fundamentals in:

API design

Software/system design

Testing and debugging distributed services

Strong problem-solving, communication, and collaboration skills