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System Engineer; AI Platform

Job in 4040, Basel, Kanton Basel-Landschaft, Switzerland
Listing for: Experis Switzerland
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Systems Engineer, Cloud Computing: Infrastructure & Operations, IT Infrastructure, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 120000 - 180000 CHF Yearly CHF 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: System Engineer (AI Platform)

For a client, we are currently looking for an experienced AI Platform System Engineer to join a forward-thinking infrastructure team. In this role, you will play a key part in building, operating, and evolving enterprise-grade AI platforms and infrastructure services.

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 Open Shift 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
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