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IONOS in Karlsruhe is seeking a senior/staff-level engineer to own reliability of data center networks—physical fabric, SDN overlay, and VNF. You will lead major incidents, drive postmortems, and push automation to reduce toil, collaborating with NRE Automation.
AI will be central for anomaly detection, automated diagnosis, and smarter tooling. The role requires extensive experience with BGP/EVPN, VXLAN, and Linux, plus Python/Ansible for automation and CI/CD with GitLab.
NRE Operations runs the data center networks for the entire IONOS group: the physical fabric and underlay, the SDN overlay, and the virtual network functions on top, across dozens of data centers. We are looking for a senior or staff-level engineer who operates large production networks with a reliability mindset. You define what "healthy" means, catch problems before customers do, lead the hardest incidents, and partner with NRE Automation to push routine operations toward zero manual steps. AI is central to how we work, both to make the network smarter and to make each engineer faster.
We expect every engineer here to be fluent with AI, and we mean it in two concrete ways. First, applying AI to the network itself: anomaly detection, automated diagnosis and root-cause analysis, config generation and validation, smarter alerting, and runbook or agent-driven automation. Second, using AI to raise your own output: coding assistants and LLM tooling for scripting, troubleshooting, research, and documentation. Reliability work punishes blind trust, so the skill that matters most is judgment. You need to know when an AI-generated config or diagnosis is trustworthy and when it is not.