StellenbeschreibungbFunctieomschrijving /bbr /h1Description of the company /h1pOur client is a well-established financial institution known for its long-standing stability, international footprint, and commitment to operational excellence. The organisation fosters a collaborative culture, values expertise, and promotes continuous improvement across its global technology and data functions. /ph1Role Responsibilities /h1pAs Senior AI Infrastructure Platform Engineer, you will play a key role in designing, operating and continuously improving enterprise-grade AI infrastructure platforms supporting advanced machine learning and generative AI initiatives. You will work closely with infrastructure, platform engineering and data science teams to build highly available GPU-enabled environments and scalable container platforms capable of supporting large-scale model training and inference workloads.br /strongKey Responsibilities: /strong /pulliDesign, implement and operate GPU-enabled infrastructure platforms for AI and machine learning workloads /liliAdminister and optimize Kubernetes and OpenShift platforms supporting enterprise AI services /liliManage high-performance computing (HPC) environments, including bare-metal and virtualized GPU systems /liliDevelop and maintain infrastructure automation using Ansible, Terraform and GitOps methodologies /liliTroubleshoot complex platform issues involving Linux, networking, storage, Kubernetes and GPU architectures /liliSupport AI and data science teams with platform provisioning, resource allocation and operational excellence /liliImplement platform monitoring and observability solutions /liliParticipate in incident management and on-call rotations /li /ulh1Candidate Profile /h1pYou hold a university-level degree in Computer Science or a related discipline and bring several years of current, hands-on experience operating large-scale Linux and containerized infrastructure environments.br /strongAdditionally: /strong /pulliMinimum 5 years of enterprise infrastructure engineering experience /liliMinimum 3 years of hands-on experience administering Red Hat Enterprise Linux environments /liliProven experience operating Kubernetes and/or OpenShift platforms in production environments /liliStrong hands-on experience with Terraform, ArgoCD and Ansible /liliPractical experience supporting NVIDIA GPU infrastructures and GPU-enabled computing environments /liliKnowledge of GPU architectures and technologies such as NVLink, PCIe switching and GPU virtualization /liliExperience with Prometheus, Grafana and infrastructure monitoring solutions /liliStrong Shell and Python scripting capabilities /liliExperience working in highly regulated enterprise environments is advantageous /liliFluent in English; German advantageous /lilistrongValid CH work permit or EU/EFTA citizenship required /strong /lilistrongWillingness to work 100% on-site /strong /li /ulbr /strongBenefits: /strongulliCentral city office locations across Switzerland /liliAbove average insurance coverage fully borne our client /liliContribution to health insurance and meal allowance /liliExcellent opportunities for further training and personal development /liliInternational environment /li /ul