Cloud & Kubernetes DevOps Engineer (AI/Med Data)

Cluster - Data professionals; Nijmegen; Hybrid; EUR 61,000 - 73,000; Full time

Benefits offered by this job

Salary up to €6,000 gross per month

Pension 8% covered by employer

Commuting allowance

Company laptop

On-site 60% time

Visa sponsorship possible

Job summary

Cluster - Data professionals in Nijmegen is seeking a DevOps Engineer to advance and manage the infrastructure underpinning AI models and software. You'll work in a hybrid environment combining on‑premise and AWS cloud, and drive the transition to Kubernetes.

You’ll maintain Linux server environments, support AI training infrastructure, monitor for incidents, and apply IaC with Terraform and Ansible. Collaboration with infra and development teams is key, with office hours and no on‑call

Qualifications

• Bachelor's degree level (must)
• Experience with Kubernetes and AWS (or another cloud)
• Experience with Infrastructure as Code, preferably Terraform and Ansible
• Knowledge of and experience managing Linux environments
• Fluent English, as this is the team's daily working language

Responsibilities

• Manage and further develop both the on-premise and cloud infrastructure
• Actively contribute to the transition to, and management of, in-house Kubernetes clusters
• Maintain the Linux-based server environments, including the AI training infrastructure
• Monitor environments and ensure fast response to incidents
• Apply Infrastructure as Code (Terraform and Ansible)
• Work closely with infra developers and various development teams
• Uphold a high standard of security given sensitive data

Skills

Kubernetes

AWS

Linux environments

Fluent English

Education

Bachelor's degree

Tools

Terraform

Ansible

Job description

Cluster - Data professionals in Nijmegen is seeking a DevOps Engineer to advance and manage the infrastructure underpinning AI models and software. You'll work in a hybrid environment combining on‑premise and AWS cloud, and drive the transition to Kubernetes.

You’ll maintain Linux server environments, support AI training infrastructure, monitor for incidents, and apply IaC with Terraform and Ansible. Collaboration with infra and development teams is key, with office hours and no on‑call