Senior AI Infrastructure Engineer (Virtualisation)

Firmus Technologies; Singapore; On-site; SGD 232,378 - 335,657; Full time

Job summary

Firmus Technologies is seeking a Senior Engineer to design, build, and operate software-defined infrastructure for AI workloads. You will help evolve scalable, reliable storage platforms and a high‑performance control plane to support world-class AI workloads.

You will ensure stability, performance, and continuous improvement of the mission-critical storage infrastructure, collaborating with SREs and operations to optimize clusters and CI/CD automation.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 6–10 years of experience in infrastructure engineering and/or storage engineering.
• Hands-on experience with bare-metal provisioning and hardware lifecycle management.
• Ability to operate software-defined storage platforms such as Ceph, Weka, Vast Data, DAOS, or Lustre.
• Strong understanding of cloud-native infrastructure, Kubernetes, and scalable system architectures.
• Proficiency in Go, Python, or Bash; familiarity with Rust is a plus.
• Excellent documentation skills and experience with CI/CD pipelines.

Responsibilities

• Design and implement a scalable, multi-tenant control plane for AI workloads.
• Contribute to exabyte-scale object storage and high-performance filesystems development.
• Work with bare-metal provisioning tools and orchestration platforms.
• Collaborate with operations to monitor, analyse, and optimise clusters and storage.
• Develop custom Kubernetes operators and orchestration frameworks for large-scale GPUs.

Skills

Kubernetes

Ceph

Go

Python

Bash

Distributed systems

Education

Bachelor's or Master's in CS/Engineering

Tools

Base Command Manager

Warewulf

Ironic

MaaS

Ansible

Terraform/OpenTofu

Job description

Singapore or Australia

Role Summary

Firmus is seeking a highly skilled and driven Senior Engineer to play a key role in designing, building, and operating software‑defined infrastructure, including high‑performance AI storage platforms. You will help evolve our Software Defined Infrastructure by building reliable, scalable solutions that power some of the world’s largest and most innovative AI workloads.

You will be instrumental in ensuring the stability, performance, and continuous improvement of our mission‑critical control plane and storage infrastructure.

Key Responsibilities

• Design and implement a highly scalable, multi‑tenant control plane that supports Firmus’ growing AI and infrastructure needs.
• Contribute to the development of exabyte‑scale, S3‑compatible object storage, distributed file systems, and high‑performance filesystems.
• Work with bare‑metal provisioning tools such as Base Command Manager, Warewulf, Ironic, MaaS, and similar platforms.
• Apply a deep understanding of operating systems, computer networks, software‑defined storage, and high‑performance applications.
• Work with technologies including RDMA, GPU Direct Storage, RoCE, InfiniBand, DPDK, Ceph, Weka, DAOS, and others.
• Collaborate with operations teams to monitor, analyse, and optimise internal clusters and storage platforms.
• Document architecture designs, operational procedures, and performance results.
• Collaborate with L2 SRE engineers, site operations, and networking teams to ensure platform reliability, reproducibility, and performance.
• Contribute to continuous improvement in cluster validation, CI/CD automation, and provisioning and testing frameworks.
• Apply knowledge of Kubernetes and composable storage clusters.
• Contribute to the development of custom Kubernetes operators and intelligent orchestration frameworks to optimise AI workload performance for large‑scale GPU cluster commissioning.

Skills & Experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  6–10 years of experience in infrastructure engineering and/or storage engineering.
• Hands‑on experience with bare‑metal provisioning.
  Ability to operate software‑defined storage platforms such as Ceph, Weka, Vast Data, DAOS, or Lustre.
• Solid understanding of cloud‑native infrastructure, Kubernetes, and scalable system architectures.
• Strong debugging and problem‑solving skills in distributed, high‑performance environments.
• Strong automation mindset using tools such as Ansible, Helm, Terraform/OpenTofu, or equivalent.
• Understanding of firmware, BIOS, BMC/IPMI/Redfish, and low‑level system tuning.
• Proficiency in one or more programming languages such as Go, Bash, Rust, or Python.
• Excellent documentation skills with strong attention to detail.
• Experience participating in an on‑call rotation supporting production services.
  Proactive self‑starter with a drive for continuous technical improvement.
• Systems Architecture: Ability to design and integrate virtualisation, bare‑metal, GPU, storage, and Kubernetes/Slurm platforms.
• Infrastructure Automation: Expertise in automated provisioning and lifecycle management of hardware and clusters.
• GPU and HPC Performance: Strong understanding of GPU systems, RDMA fabrics, and distributed AI workload performance.
• Technical Communication: Ability to communicate complex technical concepts effectively across engineering and operations teams.
• Continuous Improvement: Demonstrates curiosity, proactive learning, and innovation in AI and HPC infrastructure.

Success Metrics

• Reliable provisioning and benchmarking of scalable, high‑performance storage systems.
• Performance validation and optimisation.
• Operational efficiency improvements.
• High‑quality documentation and effective knowledge transfer.

Location & Reporting

• Singapore or Australia (Melbourne, VIC or Sydney, NSW or Launceston, TAS)
• Reporting to Senior Manager, Software Defined Infrastructure

Employment Basis

Full‑time

Diversity

At Firmus, we are committed to building a diverse and inclusive workplace. We encourage applications from candidates of all backgrounds who are passionate about creating a more sustainable future through innovative engineering solutions.

Join us in our mission to revolutionize the AI industry through sustainable practices and cutting‑edge engineering.