Poland, Croatia, Slovakia, Romania, Germany
Responsibilities:

Job Responsibilities ArcGIS Enterprise Platform Lead the design,

configuration, upgrading, and lifecycle management of ArcGIS Enterprise

(Portal, ArcGIS Server, Data Store, Web Adaptors). Share ownership of

platform reliability, performance, security, and scalability, including HA

and DR design. Establish and evolve best practices for authentication,

authorization, certificate management, and licensing. Act as a technical

authority for ArcGIS Enterprise in partnership with the other Lead.

DevOps, Cloud & Kubernetes Design and operate ArcGIS Enterprise on

a customized AWS EKS (Kubernetes) platform. Define and implement

Infrastructure as Code and environment standards (e.g., Terraform,

Helm). Build and maintain CI/CD pipelines for platform deployments,

upgrades, and configuration management. Partner with cloud and

platform teams to align on Kubernetes architecture, security, and
observability standards. Automation & Operations Drive an automation-

first approach across provisioning, upgrades, scaling, backup, and
recovery. Implement and maintain monitoring, logging, alerting, and

operational dashboards. Contribute to and maintain runbooks,

operational documentation, and incident response processes. Proactively

identify opportunities to reduce operational toil and improve platform

resilience. Technical Leadership & Collaboration Provide hands-on

technical leadership within the GIS DevOps team, mentoring senior

engineers and supporting their growth. Collaborate closely with: The peer

Lead GIS DevOps Engineer The GIS Engineering Manager Application,

data, and analytics teams Take ownership of specific technical domains

or initiatives, while aligning with shared team standards and goals.
Requirements (experience, tech skills, etc.)
Job Description Strong hands-on experience operating ArcGIS

Enterprise in production environments. Experience running enterprise

workloads on AWS, ideally with EKS / Kubernetes exposure. Experience

deploying or operating ArcGIS on Kubernetes or containerized platforms.

Solid understanding of Linux, networking, and cloud security

fundamentals. Proven experience with Infrastructure as Code and

automation. Strong scripting skills (e.g., Python, Bash) for operations and

tooling. Experience working in collaborative, multi-engineer environments

with shared ownership. Excellent communication skills and comfort

working across organizational boundaries. Nice to Have: Familiarity with

Helm, ArgoCD, GitHub Actions, or similar tools. Experience operating or

scaling enterprise-grade platforms. Observability experience
(Prometheus, Grafana, CloudWatch, etc.). Background in geospatial data

workflows or enterprise GIS use cases