Site Reliability Engineer: AI Cloud Platform & Automation

Nebul; Leiden; On-site; EUR 90,000 - 120,000; Full time

Job summary

Nebul is building Europe’s sovereign AI cloud and is seeking a Site Reliability Engineer to keep the platform stable, observable and scalable. You’ll own incidents, tackle complex problems and reduce reliance on senior engineers by automation.

Working with Kubernetes, NVIDIA GPU infrastructure and services written in Go and Python, you’ll drive reliability, observability and proactive improvements across production systems within a collaborative team in Leiden.

Qualifications

• Proven experience as a Site Reliability/DevOps/Platform engineer.
• Hands-on production exposure to Kubernetes.
• Strong Linux and infrastructure troubleshooting skills.
• Experience with Go or Python services.
• Ability to lead complex troubleshooting sessions.
• Experience with monitoring, logging, metrics, and alerting.

Responsibilities

• Maintain Nebul's AI cloud platform for reliability and scalability.
• Own incidents and coordinate resolution with senior engineers.
• Investigate issues across Kubernetes, GPU infrastructure, and services in Go/Python.
• Automate repetitive operational tasks.
• Improve platform reliability with runbooks and documentation.
• Support deployments and platform changes.
• Enhance observability and failure handling.

Skills

Kubernetes

Go

Python

Linux

NVIDIA GPU

Monitoring

Observability

Incident response

Automation

Cloud-native

Networking

Tools

Go

Python

Job description

Nebul is building Europe’s sovereign AI cloud and is seeking a Site Reliability Engineer to keep the platform stable, observable and scalable. You’ll own incidents, tackle complex problems and reduce reliance on senior engineers by automation.

Working with Kubernetes, NVIDIA GPU infrastructure and services written in Go and Python, you’ll drive reliability, observability and proactive improvements across production systems within a collaborative team in Leiden.