Senior AI Infrastructure Engineer (Virtualisation)

Firmus Technologies 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. The role involves ensuring the stability, performance, and continuous improvement of mission-critical control plane and storage infrastructure while contributing to the development of scalable solutions for AI workloads.

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