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1&1 IONOS SE in Karlsruhe seeks a senior/staff-level engineer to run large production networks across data centers, defining health metrics and leading incidents with a reliability mindset.
The role focuses on applying AI to operations, automating toil with Python/Ansible, and collaborating with NRE teams on observability, lifecycle, and capacity planning in a hybrid work environment.
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.