Hybrid HPC Platform Engineer: Linux, Automation & AI Infra

Master in Integrated Building Systems ETH Zürich; Zürich; Hybrid; CHF 110.000 - 150.000; Vollzeit

Benefits dieser Stelle

Flexible work

Public transport

Car sharing

Childcare

Pension benefits

ASVZ sports

Zusammenfassung

ETH Zürich's High Performance Computing group seeks a Platform Engineer to automate, operate, and scale a large hybrid HPC/AI infrastructure. You will work with Linux, open-source stacks, and on-premise Kubernetes to enable scientific workloads.

You will design CI/CD pipelines, build observability, and manage core services while collaborating with an international team. Flexibility to partly work from home is offered.

Qualifikationen

• Solid experience operating Linux systems in production environments.
• Experience automating repetitive operational tasks.
• Experience with shell scripting (Bash) and programming in Python, Go or Rust.
• Familiarity with Kubernetes, Prometheus and Grafana.
• Experience with Infrastructure as Code (IaC) and Configuration Management (e.g. Terraform or similar).
• Basic understanding of TCP/IP networking, routing and firewalls.

Aufgaben

• Automate infrastructure provisioning and operational workflows using modern IaC tools.
• Operate, troubleshoot, and improve Linux systems on both bare metal and virtual infrastructure.
• Develop and maintain CI/CD pipelines.
• Build and operate on-premise cloud services based on Kubernetes.
• Design and maintain observability platforms using metrics, logs, dashboards, and alerting systems.
• Support core infrastructure services such as DNS, DHCP, and HTTP.
• Troubleshoot networking issues involving TCP/IP, routing, and firewalls.
• Occasional datacenter floor work (racking, cabling, bare-metal troubleshooting and repairs).

Kenntnisse

Linux admin

IaC tooling

CI/CD pipelines

Bash scripting

Python/Go/Rust

Kubernetes

Prometheus Grafana

Networking basics

Open-source

English communication

Tools

Terraform

Ansible

Cdist

Jobbeschreibung

ETH Zürich's High Performance Computing group seeks a Platform Engineer to automate, operate, and scale a large hybrid HPC/AI infrastructure. You will work with Linux, open-source stacks, and on-premise Kubernetes to enable scientific workloads.

You will design CI/CD pipelines, build observability, and manage core services while collaborating with an international team. Flexibility to partly work from home is offered.