Job Description
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.
Key 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)
- 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
- 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
- #LI-SS2
- #LI-Onsite
Benefits & Perks
- Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.
- A reasonable estimate of the base salary range is
- $97,240
- —
- $162,240 USD
Ready to Apply?
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