ArcGIS Enterprise Systems Engineer — High-Impact Deployments

Esri

St. Louis (MO)

On-site

USD 84,000 - 142,000

Full time

13 days ago

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Benefits offered by this job

Relocation assistance

Job summary

Esri's Professional Services team is seeking a Technical Consultant focused on system engineering for ArcGIS Enterprise. You will design, deploy, migrate, and support enterprise GIS systems, emphasizing high availability, disaster recovery, and Kubernetes-based architectures.

You will apply engineering practices across Windows, Linux, cloud, and containerized deployments, perform performance analysis, troubleshooting, and architecture evolution as systems scale and complexity grow.

Qualifications

  • Minimum 5+ years of professional experience implementing and supporting enterprise GIS systems.
  • Experience administering ArcGIS Enterprise.
  • Willingness to travel up to 25% and US citizenship with active TS clearance.
  • Bachelor's degree in geography, computer science, GIS, or STEM field.

Responsibilities

  • Participate in advanced Professional Services engagement types including migrations and architecture modernization.
  • Resolve system challenges with advanced troubleshooting and performance analysis.
  • Conduct disaster recovery exercises and DR planning for enterprise GIS deployments.
  • Lead proofs of concept for ArcGIS Enterprise deployments.
  • Upgrade and deploy ArcGIS Enterprise and databases on Windows, Linux, and Kubernetes.

Skills

ArcGIS Enterprise
System engineering
Troubleshooting
Communication
Travel readiness
Security clearance

Education

Bachelor's degree in GIS/CS/Geography/STEM
Master's degree in GIS/CS/Math/Geospatial STEM

Tools

Windows
Linux
Kubernetes
Cloud providers

Job description

Esri's Professional Services team is seeking a Technical Consultant focused on system engineering for ArcGIS Enterprise. You will design, deploy, migrate, and support enterprise GIS systems, emphasizing high availability, disaster recovery, and Kubernetes-based architectures.

You will apply engineering practices across Windows, Linux, cloud, and containerized deployments, perform performance analysis, troubleshooting, and architecture evolution as systems scale and complexity grow.

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