Senior Backend Developer
Role details
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Tech stack
Job description
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
Requirements
- 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, * 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