HPC Cloud Systems Engineer

ETH SINGAPORE SEC LTD.; Singapore; Hybrid; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible hybrid work

Annual dental benefits

Healthcare insurance

Job summary

The Singapore-ETH Centre invites applications for a System Engineer to lead the cloud-like HPC infrastructure for the AIS Instrumentation Gym. You will oversee the end-to-end research platform for AI4S workflows, ensuring secure cross-site data movement and scalable storage solutions for long-term reproducibility.

You will implement infrastructure as code with Ansible and Terraform/OpenTofu, manage OpenCHAMI and Kubernetes deployments, and enable multi-tenant vClusters across sites.

Qualifications

• A bachelor’s degree or higher in computer engineering, computer science, a relevant technical field, or equivalent practical experience.
• Knowledge of microservice architecture and distributed/federated research infrastructure.
• Experience with CI/CD pipelines and automation tooling such as Gitlab CI and HashiCorp Vault.
• Hands-on experience developing Ansible configurations and using ArgoCD for deployments.
• Proficiency with Kubernetes and OpenCHAMI; familiarity with IaC tools like Terraform/OpenTofu.
• Understanding HPC workflows, data retention policies, and secure multi-site data transfer.

Responsibilities

• Manage the HPC backbone for the AIS Instrumentation Gym, serving as an end-to-end research platform for AI4S workflows.
• Implement data mobility protocols for seamless, secure data movement between distributed research sites (e.g., NUS, NTU, NSCC, CSCS).
• Design and implement tiered storage and data retention policies to balance fast-access for training with reproducibility.
• Develop workflows for federated reproducibility across HPC locations to minimize duplication of effort.
• Provision core IT infrastructure using IaC tools (Ansible, Terraform/OpenTofu) and manage the system management platform OpenCHAMI and Kubernetes.
• Administer multi-tenant vClusters and dynamic vService creation in the management plane.

Skills

Microservice architecture

CI/CD pipelines

Ansible configurations

Kubernetes

Terraform/OpenTofu (IaC)

Distributed/federated infra

HPC workflows

Security and data transfer

Education

Bachelor’s degree in computer engineering/science or equivalent

Tools

Gitlab CI

HashiCorp Vault

ArgoCD

OpenCHAMI

Ansible

Kubernetes (tooling)

Terraform/OpenTofu

Job description

The Singapore-ETH Centre invites applications for a System Engineer to lead the cloud-like HPC infrastructure for the AIS Instrumentation Gym. You will oversee the end-to-end research platform for AI4S workflows, ensuring secure cross-site data movement and scalable storage solutions for long-term reproducibility.

You will implement infrastructure as code with Ansible and Terraform/OpenTofu, manage OpenCHAMI and Kubernetes deployments, and enable multi-tenant vClusters across sites.