Darum lohnt es sich
For a client, we are currently looking for an experienced AI Platform System Engineer to join a forward-thinking infrastructure team.
Your Responsibilities Design, implement, and continuously enhance scalable AI infrastructure services with a focus on GPU-accelerated workloads Build, operate, and maintain enterprise AI platforms based on technologies such as Kubernetes and OpenShift to support model deployment and inference Manage and optimize high-performance computing (HPC) environments, including both bare-metal and virtualized GPU infrastructures Investigate, troubleshoot, and resolve complex infrastructure incidents across hardware, operating systems, and platform services Partner with data science and engineering teams to provide and maintain the infrastructure required for AI development and production workloads Execute critical operational activities and participate in an on-call rotation to ensure platform availability and reliability Your Profile Degree in Computer Science or a comparable technical qualification Minimum of 5 years of experience in IT systems administration, including at least 3 years focused on Linux environments (preferably Red Hat Enterprise Linux) Strong automation and scripting skills using technologies such as Shell, Python, and Ansible Extensive knowledge of GPU architectures and interconnect technologies, including NVLink and PCIe-based environments Hands‑on experience with container orchestration and infrastructure-as-code solutions such as Kubernetes, Terraform, and ArgoCD Familiarity with modern observability and monitoring tools, including Prometheus, Grafana, and DCGM Exporter Understanding of ITIL-based operational processes and best practices Strong analytical mindset with excellent problem-solving skills, a high level of ownership, and the ability to perform effectively in demanding environments Team-oriented professional with excellent communication and stakeholder management skills Fluent in English #J-18808-Ljbffr In this role, you will play a key part in building, operating, and evolving enterprise-grade AI platforms and infrastructure services.
