Senior AI Infrastructure Engineer

About the role

<p><strong>Role Summary</strong></p> <p>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.</p> <p>You will be instrumental in ensuring the stability, performance, and continuous improvement of our mission-critical control plane and storage infrastructure.</p> <p> </p> <p><strong>Key Responsibilities</strong></p> <ul> <li>Design and implement a highly scalable, multi-tenant control plane that supports Firmus' growing AI and infrastructure needs.</li> <li>Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file systems, and high-performance filesystems.</li> <li>Work with bare-metal provisioning tools such as Base Command Manager, Warewulf, Ironic, MaaS, and similar platforms.</li> <li>Apply a deep understanding of operating systems, computer networks, software-defined storage, and high-performance applications.</li> <li>Work with technologies including RDMA, GPU Direct Storage, RoCE, InfiniBand, DPDK, Ceph, Weka, DAOS, and others.</li> <li>Collaborate with operations teams to monitor, analyse, and optimise internal clusters and storage platforms.</li> <li>Document architecture designs, operational procedures, and performance results.</li> <li>Collaborate with L2 SRE engineers, site operations, and networking teams to ensure platform reliability, reproducibility, and performance.</li> <li>Contribute to continuous improvement in cluster validation, CI/CD automation, and provisioning and testing frameworks.</li> <li>Apply knowledge of Kubernetes and composable storage clusters.</li> <li>Contribute to the development of custom Kubernetes operators and intelligent orchestration frameworks to optimise AI workload performance for large-scale GPU cluster commissioning.</li> </ul> <p> </p> <p><strong>Skills & Experience</strong></p> <ul> <li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.<br data-start="2210" data-end="2213">6-10 years of experience in infrastructure engineering and/or storage engineering.</li> <li>Hands-on experience with bare-metal provisioning.<br data-start="2351" data-end="2354">Ability to operate software-defined storage platforms such as Ceph, Weka, Vast Data, DAOS, or Lustre.</li> <li>Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architectures.</li> <li>Strong debugging and problem-solving skills in distributed, high-performance environments.</li> <li>Practical Linux systems engineering experience (kernel, cgroups, system services, networking, drivers).</li> <li>Strong automation mindset using tools such as Ansible, Helm, Terraform/OpenTofu, or equivalent.</li> <li>Understanding of firmware, BIOS, BMC/IPMI/Redfish, and low-level system tuning.</li> <li>Proficiency in one or more programming languages such as Go, Bash, Rust, or Python.</li> <li>Excellent documentation skills with strong attention to detail.</li> <li>Experience participating in an on-call rotation supporting production services.<br data-start="3187" data-end="3190">Proactive self-starter with a drive for continuous technical improvement.</li> </ul> <p> </p> <p><strong>Key Competencies</strong></p> <ul> <li>Systems Architecture: Ability to design and integrate virtualisation, bare-metal, GPU, storage, and Kubernetes/Slurm platforms.</li> <li>Infrastructure Automation: Expertise in automated provisioning and lifecycle management of hardware and clusters.</li> <li>GPU and HPC Performance: Strong understanding of GPU systems, RDMA fabrics, and distributed AI workload performance.</li> <li>Technical Communication: Ability to communicate complex technical concepts effectively across engineering and operations teams.</li> <li>Continuous Improvement: Demonstrates curiosity, proactive learning, and innovation in AI and HPC infrastructure.</li> </ul> <p> </p> <p><strong>Success Metrics</strong></p> <ul> <li>Reliable provisioning and benchmarking of scalable, high-performance storage systems.</li> <li>Performance validation and optimisation. The listing location is Singapore or Australia.

Key facts

What you'll do

• <p><strong>Role Summary</strong></p> <p>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.</p> <p>You will be instrumental in ensuring the stability, performance, and continuous improvement of our mission-critical control plane and storage infrastructure.</p> <p> </p> <p><strong>Key Responsibilities</strong></p> <ul> <li>Design and implement a highly scalable, multi-tenant control plane that supports Firmus' growing AI and infrastructure needs.</li> <li>Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file systems, and high-performance filesystems.</li> <li>Work with bare-metal provisioning tools such as Base Command Manager, Warewulf, Ironic, MaaS, and similar platforms.</li> <li>Apply a deep understanding of operating systems, computer networks, software-defined storage, and high-performance applications.</li> <li>Work with technologies including RDMA, GPU Direct Storage, RoCE, InfiniBand, DPDK, Ceph, Weka, DAOS, and others.</li> <li>Collaborate with operations teams to monitor, analyse, and optimise internal clusters and storage platforms.</li> <li>Document architecture designs, operational procedures, and performance results.</li> <li>Collaborate with L2 SRE engineers, site operations, and networking teams to ensure platform reliability, reproducibility, and performance.</li> <li>Contribute to continuous improvement in cluster validation, CI/CD automation, and provisioning and testing frameworks.</li> <li>Apply knowledge of Kubernetes and composable storage clusters.</li> <li>Contribute to the development of custom Kubernetes operators and intelligent orchestration frameworks to optimise AI workload performance for large-scale GPU cluster commissioning.</li> </ul> <p> </p> <p><strong>Skills & Experience</strong></p> <ul> <li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field.<br data-start="2210" data-end="2213">6-10 years of experience in infrastructure engineering and/or storage engineering.</li> <li>Hands-on experience with bare-metal provisioning.<br data-start="2351" data-end="2354">Ability to operate software-defined storage platforms such as Ceph, Weka, Vast Data, DAOS, or Lustre.</li> <li>Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architectures.</li> <li>Strong debugging and problem-solving skills in distributed, high-performance environments.</li> <li>Practical Linux systems engineering experience (kernel, cgroups, system services, networking, drivers).</li> <li>Strong automation mindset using tools such as Ansible, Helm, Terraform/OpenTofu, or equivalent.</li> <li>Understanding of firmware, BIOS, BMC/IPMI/Redfish, and low-level system tuning.</li> <li>Proficiency in one or more programming languages such as Go, Bash, Rust, or Python.</li> <li>Excellent documentation skills with strong attention to detail.</li> <li>Experience participating in an on-call rotation supporting production services.<br data-start="3187" data-end="3190">Proactive self-starter with a drive for continuous technical improvement.</li> </ul> <p> </p> <p><strong>Key Competencies</strong></p> <ul> <li>Systems Architecture: Ability to design and integrate virtualisation, bare-metal, GPU, storage, and Kubernetes/Slurm platforms.</li> <li>Infrastructure Automation: Expertise in automated provisioning and lifecycle management of hardware and clusters.</li> <li>GPU and HPC Performance: Strong understanding of GPU systems, RDMA fabrics, and distributed AI workload performance.</li> <li>Technical Communication: Ability to communicate complex technical concepts effectively across engineering and operations teams.</li> <li>Continuous Improvement: Demonstrates curiosity, proactive learning, and innovation in AI and HPC infrastructure.</li> </ul> <p> </p> <p><strong>Success Metrics</strong></p> <ul> <li>Reliable provisioning and benchmarking of scalable, high-performance storage systems.</li> <li>Performance validation and optimisation.

Requirements

• 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.</p> <p>You will be instrumental in ensuring the stability, performance, and continuous improvement of our mission-critical control plane and storage infrastructure.</p> <p> </p> <p><strong>Key Responsibilities</strong></p> <ul> <li>Design and implement a highly scalable, multi-tenant control plane that supports Firmus' growing AI and infrastructure needs.</li> <li>Contribute to the development of exabyte-scale, S3-compatible object storage, distributed file systems, and high-performance filesystems.</li> <li>Work with bare-metal provisioning tools such as Base Command Manager, Warewulf, Ironic, MaaS, and similar platforms.</li> <li>Apply a deep understanding of operating systems, computer networks, software-defined storage, and high-performance applications.</li> <li>Work with technologies including RDMA, GPU Direct Storage, RoCE, InfiniBand, DPDK, Ceph, Weka, DAOS, and others.</li> <li>Collaborate with operations teams to monitor, analyse, and optimise internal clusters and storage platforms.</li> <li>Document architecture designs, operational procedures, and performance results.</li> <li>Collaborate with L2 SRE engineers, site operations, and networking teams to ensure platform reliability, reproducibility, and performance.</li> <li>Contribute to continuous improvement in cluster validation, CI/CD automation, and provisioning and testing frameworks.</li> <li>Apply