Senior AI Infrastructure Engineer (Virtualisation)

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Senior AI Infrastructure Engineer (Virtualisation) Australia or Singapore 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

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