At a well-know private bank, you are strengthening our platform team as a professional and experienced engineer and provide technical engineering and operational infrastructure services to enterprise infrastructure for the AI initiatives. Design and evolve scalable AI infrastructure services optimized for GPU workloads Implement and manage enterprise-grade AI platforms (e.g., Kubernetes, OpenShift) for model inference Operate and maintain high-performance computing (HPC) clusters, including bare-metal and virtual GPU servers Troubleshoot and resolve complex infrastructure incidents across hardware and software stacks Support data science teams with infrastructure provisioning Perform critical infrastructure tasks and participate in on-call rotations Requirements 5 years of IT system engineering experience , including 3+ years specializing in Linux (RHEL preferred) and strong scripting skills in Shell, Python, and Ansible Deep expertise in GPU topologies and architectures (NVLink, PCIe switching) and container orchestration (Kubernetes, Terraform, ArgoCD). Hands-on experience in Prometheus, Grafana, and DCGM Exporter is required University degree (university / FH) in Computer Science or similar degrees Familiarity with ITIL methodologies, combined with a proactive, accountable work ethic. Strong analytical and problem-solving skills, effective prioritization, and the ability to deliver results under pressure Fluent in English; proficiency in German is a plus (not mandatory) Above average insurance coverage fully borne by the bank Contribution to health insurance and meal allowance Global growth strategy and stable environment Competitive salary and benefits package Fosters entrepreneurship and is fueled by a high team spirit Central city office locations across Switzerland Maybe not for you, but for someone else?
