Lead ArcGIS DevOps Engineer

DCG; Polska; On-site; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Private medical care

Sports card co-financing

Dedicated consultant support

Job summary

DCG is seeking an experienced GIS DevOps Lead to design, deploy, and manage ArcGIS Enterprise on a Kubernetes-based AWS platform. You will drive reliability, security, and automation across upgrades, scaling, and incident response.

The role requires strong ArcGIS expertise, AWS/EKS experience, IaC proficiency, and excellent communication across teams. Remote-friendly, with on-site collaboration in Poland.

Qualifications

• 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.

Responsibilities

• Lead design, configuration, upgrading, and lifecycle management of ArcGIS Enterprise components.
• Share ownership of platform reliability, performance, security, and HA/DR design.
• Define and implement Infrastructure as Code and environment standards.
• Build and maintain CI/CD pipelines for deployments and upgrades.
• Provide hands-on technical leadership within the GIS DevOps team.
• Collaborate with peer GIS DevOps Engineer and GIS Engineering Manager.

Skills

ArcGIS Enterprise

AWS EKS

Kubernetes

Terraform

Helm

CI/CD

Python

Bash

Linux

Networking

English (C1)

Tools

ArgoCD

GitHub Actions

Prometheus

Grafana

Job description

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