GPU-Driven Kubernetes Infra Engineer for AI Workloads

Nebul; Leiden; On-site; EUR 55,000 - 75,000; Full time

Job summary

A leading cloud solutions provider is seeking an Infrastructure Engineer specializing in GPU Datacenter & Kubernetes. This full-time role in Leiden involves deploying and maintaining GPU-optimized Kubernetes clusters, integrating NVIDIA GPU Operators, and optimizing resource utilization. The ideal candidate has significant experience with Kubernetes in production, strong knowledge of NVIDIA technologies, and scripting skills in Python or Go. Applicants must reside in the Netherlands and have a valid work permit.

Qualifications

• Experience running Kubernetes clusters in production, especially for GPU workloads.
• Familiarity with NVIDIA GPU integration and scheduling logic.
• Good programming/scripting skills in Go or Python.

Responsibilities

• Deploy and maintain Kubernetes clusters optimized for GPU workloads.
• Integrate and manage NVIDIA GPU Operators and plugins.
• Support performance tuning, incident response, and upgrades.

Skills

Kubernetes

NVIDIA GPU integration

Linux

networking

Python

Go

Tools

Terraform

Ansible

Helm

Prometheus

Grafana

Job description

A leading cloud solutions provider is seeking an Infrastructure Engineer specializing in GPU Datacenter & Kubernetes. This full-time role in Leiden involves deploying and maintaining GPU-optimized Kubernetes clusters, integrating NVIDIA GPU Operators, and optimizing resource utilization. The ideal candidate has significant experience with Kubernetes in production, strong knowledge of NVIDIA technologies, and scripting skills in Python or Go. Applicants must reside in the Netherlands and have a valid work permit.