Firmus Technologies
Technology
SeniorAIInfrastructureEngineer(Virtualisation)
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optimal for Senior candidates.
“Senior AI Infrastructure Engineer (Virtualisation) at Firmus Technologies. Skills: Virtualisation, Bare-metal, GPU, Storage, Kubernetes, Slurm, Infrastructure automation, AI workload performance. Design scalable control plane. Implement scalable control plane”
What You'll Achieve.
Reliable provisioning storage systems; Benchmarking storage systems; Performance validation; Performance optimisation; Operational efficiency improvements; High-quality documentation; Effective knowledge transfer
Industry & Context.
Debugging; Problem-solving
On-call rotation
What They're Looking For.
Must Have
Bachelor's or Master's degree, 6-10 years experience, Hands-on bare-metal provisioning, Practical Linux systems engineering, Proficiency in Go, Bash, Rust, or Python, Excellent documentation skills
Nice to Have
Experience participating in on-call rotation
What You'll Do.
Design scalable control plane
Implement scalable control plane
Develop exabyte-scale object storage
Develop distributed file systems
Develop high-performance filesystems
Work with bare-metal provisioning tools
Apply operating system knowledge
Apply computer network knowledge
Apply software-defined storage knowledge
Apply high-performance application knowledge
Collaborate with operations teams
Monitor internal clusters
Analyse internal clusters
Optimise internal clusters
Monitor storage platforms
Analyse storage platforms
Optimise storage platforms
Document architecture designs
Document operational procedures
Document performance results
Collaborate with SRE engineers
Collaborate with site operations
Collaborate with networking teams
Ensure platform reliability
Ensure platform reproducibility
Ensure platform performance
Contribute to cluster validation
Contribute to CI/CD automation
Contribute to provisioning frameworks
Contribute to testing frameworks
Apply Kubernetes knowledge
Apply composable storage knowledge
Contribute to custom Kubernetes operators
Contribute to intelligent orchestration frameworks
Optimise AI workload performance
Commission large-scale GPU clusters
How You'll Work.
Team & Collaboration
L2 SRE engineers; Site operations; Networking teams; Engineering teams; Operations teams
Communication Scope
Technical communication
Full Job Description
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 expe
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