Lead ArcGIS DevOps Engineer

Responsibilities:

• 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 High Availability (HA) and Disaster Recovery (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 Engineer
• 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
• 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
• 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 and the GIS Engineering Manager
• Collaborate with application, data, and analytics teams
• Take ownership of specific technical domains or initiatives while aligning with shared team standards and goals

Requirements:

• 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
• Knowledge of English C1

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

Offer:

• Private medical care
• Co-financing for the sports card
• Constant support of dedicated consultant