AI Platform System Engineer

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

As a leading sustainable private bank, we offer dynamic and personalized services in investment advisory and asset management for private and institutional clients. Our success depends on the enthusiasm and commitment of our employees and we value each person with their unique technical expertise, professional qualifications and social skills. We are successfully operating for more than 180 years across 30 locations worldwide and offer our employees the chance to be a part of our success. Our employees are our most valuable asset, we are proud of our unique culture that fosters entrepreneurship and is fueled by a high team spirit and the positive attitude of each individual. Join our international team and be part of the next chapter of the J. Safra Sarasin Group.

• University degree (university / FH) in Computer Science

• 5 years of IT system administration 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). Initial hands-on experience in Prometheus, Grafana, and DCGM Exporter is required

• 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