HPC & AI Platform Automation Engineer

1000scholars

Zürich

Vor Ort

CHF 140.000 - 170.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Public transport season tickets
Car sharing
Pension benefits
Diverse and inclusive environment

Zusammenfassung

The Swiss National Supercomputing Centre (CSCS) in Lugano seeks a Systems Engineer – Platform Automation to design, implement, and maintain HPC/AI services on a multi-tenant infrastructure. You will develop automation to provision, test, deploy and monitor resources, contributing to high‑performance computing and AI workloads.

This fixed‑term role starts with a two‑year contract with potential extension or permanent status, offering impact on platform reliability, scalability, and efficiency

Qualifikationen

  • Bachelor’s or higher in computer engineering, computer science, or equivalent practical experience.
  • Experience deploying HPC, AI, or Cloud infrastructures.
  • Knowledge of CI/CD and automation tooling.
  • Linux administration skills.

Aufgaben

  • Investigating, troubleshooting, and debugging platform services and infrastructure resources.
  • Developing, maintaining, and supporting tools and pipelines for multi-tenant infrastructure.
  • Developing automations to provision, test, deploy, and monitor resources for HPC/AI platforms.
  • Documentation and knowledge sharing of tools and procedures.

Kenntnisse

HPC deployment
CI/CD tooling
Linux administration
Kubernetes
Terraform
Ansible
Networking

Ausbildung

Bachelor's degree in computer engineering or CS

Tools

ArgoCD
Terraform
Ansible
Kubernetes

Jobbeschreibung

The Swiss National Supercomputing Centre (CSCS) in Lugano seeks a Systems Engineer – Platform Automation to design, implement, and maintain HPC/AI services on a multi-tenant infrastructure. You will develop automation to provision, test, deploy and monitor resources, contributing to high‑performance computing and AI workloads.

This fixed‑term role starts with a two‑year contract with potential extension or permanent status, offering impact on platform reliability, scalability, and efficiency

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