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What drives us is digital sovereignty for Europe and real impact for small and medium-sized businesses (SMBs) as well as large enterprises. We work in agile teams, rely on transparent structures, and believe that excellence and innovation only emerge through true team spirit.
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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.
Tasks
- Own reliability of the physical fabric, SDN overlay, and virtual network functions across all IONOS data centers. Set service level objectives and drive down unplanned downtime.
- Lead incident response on major network incidents and run postmortems that produce lasting fixes.
- Remove toil through automation, working with NRE Automation on pipelines and tooling for lifecycle, patching, and service configuration.
- Apply AI to operations: anomaly detection, automated diagnosis, config generation and validation, and automated remediation, with the judgment to know when AI output is trustworthy.
- Strengthen observability so problems surface before they reach customers, and shape lifecycle, upgrade, change-management, and capacity practices.
- Collaborate with NRE Provisioning on clean handovers.
- Share the on-call rotation covering the above.