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Senior AI Infrastructure & Platform Engineer

Albedis · Basel-Stadt, Switzerland

External listingfull-time13 days ago

About The Role

Senior AI Infrastructure \& Platform Engineer (Basel)

Description of the company

Our 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.

Role \& Responsibilities

As 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.

Key Responsibilities

  • Design, implement and operate GPU\-enabled infrastructure platforms for AI and machine learning workloads
  • Administer and optimize Kubernetes and OpenShift platforms supporting enterprise AI services
  • Manage high\-performance computing (HPC) environments, including bare\-metal and virtualized GPU systems
  • Develop and maintain infrastructure automation using Ansible, Terraform and GitOps methodologies
  • Troubleshoot complex platform issues involving Linux, networking, storage, Kubernetes and GPU architectures
  • Support AI and data science teams with platform provisioning, resource allocation and operational excellence
  • Implement platform monitoring and observability solutions
  • Participate in incident management and on\-call rotations

Candidate Profile

You 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.

Additionally

  • Minimum 5 years of enterprise infrastructure engineering experience
  • Minimum 3 years of hands\-on experience administering Red Hat Enterprise Linux environments
  • Proven experience operating Kubernetes and/or OpenShift platforms in production environments
  • Strong hands\-on experience with Terraform, ArgoCD and Ansible
  • Practical experience supporting NVIDIA GPU infrastructures and GPU\-enabled computing environments
  • Knowledge of GPU architectures and technologies such as NVLink, PCIe switching and GPU virtualization
  • Experience with Prometheus, Grafana and infrastructure monitoring solutions
  • Strong Shell and scripting capabilities
  • Experience working in highly regulated enterprise environments is advantageous
  • Fluent in English; German advantageous
  • Valid CH work permit or EU/EFTA citizenship required
  • Willingness to work 100% on\-site

Benefits

  • Central city office locations across Switzerland
  • Above average insurance coverage fully borne our client
  • Contribution to health insurance and meal allowance
  • Excellent opportunities for further training and personal development
  • International environment jpid1edbe14jm jit0832jm jiy26jm

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