Senior Infrastructure Engineer - HPC

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

Our client is a technology infrastructure provider delivering advanced computing platforms that support AI, high-performance computing (HPC), and data-intensive workloads. They are looking for an Infrastructure Engineer to join their team. In this role, you will help design, deploy, and optimise large‑scale compute infrastructure, working with modern cloud‑native technologies and GPU‑based platforms to deliver reliable and automated environments for AI and HPC applications.

Role

As an Infrastructure Engineer, you will build and maintain bare‑metal infrastructure supporting large‑scale compute environments. Your responsibilities will include developing automated provisioning workflows, deploying and managing GPU‑enabled platforms, and optimising Kubernetes and workload scheduling environments for distributed computing. You will also perform platform validation and performance benchmarking, enhance infrastructure observability, support hardware integration and system tuning, and contribute to automation, orchestration, and continuous improvement initiatives. Working closely with infrastructure, networking, and operations teams, you will help ensure platform stability, reproducibility, and operational efficiency.

Requirements

You hold a degree in Computer Science, Engineering, or a related discipline, with experience supporting Linux‑based infrastructure and Kubernetes environments. You bring hands‑on knowledge of bare‑metal provisioning technologies such as Metal3, OpenStack Ironic, MaaS, or similar tools, together with experience in GPU computing, Slurm, RDMA networking, and distributed AI or HPC workloads. Familiarity with infrastructure automation tools including Ansible, Helm, Terraform or OpenTofu, as well as proficiency in Go, Python, Bash, Rust, or similar languages, will be advantageous. Experience with container technologies, performance benchmarking, firmware and hardware tuning, and production support environments is preferred. Strong technical documentation, problem‑solving skills, and a collaborative approach are essential.

To apply, please submit your resume to Yien Quek at [e-mail]. We regret to inform that only successful shortlisted candidates will be notified. Licence No: 16S8060 | Registration no: R1109830