Senior Infrastructure Engineer: GPU-HPC Cloud & Automation

Kerry Consulting; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Kerry Consulting represents a technology infrastructure provider seeking an Infrastructure Engineer to design, deploy, and optimise large-scale compute infrastructure in Singapore. You will work with cloud-native tech and GPU-based platforms to deliver automated environments for AI and HPC workloads.

You will build and maintain bare-metal clusters, develop provisioning workflows, tune Kubernetes, and collaborate with networking and operations teams to ensure stability and reproducibility.

Qualifications

• Bachelor's degree or higher in Computer Science, Engineering or related discipline.
• Hands-on experience with Linux-based infrastructure and Kubernetes.
• Experience with bare-metal provisioning tools (Metal3, OpenStack Ironic, MaaS) and GPU computing.
• Familiarity with Ansible, Terraform/OpenTofu, Helm and container technologies.
• Proficiency in Go, Python, Bash, Rust or similar languages is a plus.
• Strong documentation, problem-solving, and collaborative skills.

Responsibilities

• Design, deploy and optimise large-scale compute infrastructure.
• Develop automated provisioning workflows and GPU-enabled platforms.
• Tune Kubernetes/workload scheduling and improve observability and performance.

Skills

Kubernetes

GPU computing

Slurm

RDMA networking

Linux administration

Infrastructure automation

Ansible

Terraform

Helm

OpenStack Ironic

Metal3

MaaS

OpenTofu

Container technologies

Performance benchmarking

Firmware tuning

Production support

Documentation

Collaboration

Education

Bachelor's degree in Computer Science or Engineering

Tools

Metal3

OpenStack Ironic

MaaS

Terraform

Ansible

Helm

OpenTofu

Job description

Kerry Consulting represents a technology infrastructure provider seeking an Infrastructure Engineer to design, deploy, and optimise large-scale compute infrastructure in Singapore. You will work with cloud-native tech and GPU-based platforms to deliver automated environments for AI and HPC workloads.

You will build and maintain bare-metal clusters, develop provisioning workflows, tune Kubernetes, and collaborate with networking and operations teams to ensure stability and reproducibility.