DevOps Engineer - Geocoding Services at Esri (Redlands, CA)

DevOps Engineer - Geocoding Services at Esri (Redlands, CA)

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Location: Redlands, CA
Type: Full Time
Created: 2021-12-04 05:01:20

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Esri’s global geocoding solutions support key challenges such as locating addresses and places on a map, discovering what’s at a known location or adding location information to large tables of records. Geocoding is a fundamental step towards understanding more about an organization's data.

As a member of the geocoding team, you will develop processes for automating deployment of systems, develop and manage test systems to ensure expectations are met, monitor and troubleshoot issues, and build systems that mine and analyze services usage patterns which team members can work with to optimize quality and performance.


  • Configure, deploy,and administer Windows and Linux systems
  • Build continuous integration and continuous delivery (CI/CD) pipelines
  • Develop and operate performance and quality testing systems
  • Diagnose unexpected results and work with the development team to create solutions
  • Develop systems that mine and summarize operational data that can be used by development and product management to learn from usage patterns of the services


  • 2+ years of software development experience
  • Windows administration and automation using tools such as PowerShell
  • Linux administration and automation using Shell, bash script, or Python
  • Deploying, managing, and monitoring AWS instances
  • Continuous integration and deployment using tools such as Jenkins
  • Development of scripts and tools for assembling operational data from services
  • Loading, managing, and analyzing data in cloud databases such as AWS Redshift
  • Authoring of dashboards and reports
  • Practical programming experience with C# or Python
  • Knowledge of Agile software development tools and methodologies

Recommended Qualifications:

  • Microsoft Developer technology such as Visual Studio
  • Microservices-based architectures such as Docker and Kubernetes
  • Deploying and administrating ArcGIS Enterprise systems