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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
As a DevOps Engineer, you'll help advance and manage the infrastructure underpinning the organization's AI models and software. You'll work in a hybrid environment of on-premise infrastructure and the cloud (AWS), and play an active role in the ongoing transition to a Kubernetes environment. Besides the production environment, you'll also manage the infrastructure used by AI engineers to train their models. Monitoring and quickly responding to incidents is part of the role, without any on-call obligation; this stays within office hours.
What you'll do
You'll join an international scale-up (50+ employees) that started a spin-off from a leading Dutch university. The organization develops AI-driven software for the quantitative analysis of medical imaging, with a focus on lung conditions. The technology is used worldwide by hospitals and in clinical trials within the pharmaceutical industry, and is fully certified according to relevant medical standards. You'll be part of a small, close-knit DevOps team and work closely with various development teams, including a team focused on AI/deep learning.