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Firmus Technologies

Designs and operates AI GPU data-centers.

Storage Engineer - AI Cluster Commissioning

DevOps & InfrastructureConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Hands-on experience deploying, configuring, testing, and managing high-performance and scale-out storage systems, such as VAST Data, Weka, IBM Storage Scale (GPFS), PowerScale, Ceph, Lustre, or other high-performance block and object storage solutions.
  • Experience designing, planning, and executing benchmarks and acceptance tests.
  • Experience troubleshooting Linux-based storage environments, investigating filesystem, networking, and storage performance issues, analyzing system logs and diagnostics, and resolving operational issues across storage servers and client systems.
  • Experience automating storage deployment and configuration, implementing Infrastructure as Code practices, and developing monitoring and alerting solutions; examples include Ansible, Python, Git, Prometheus, Grafana, and Zabbix.
  • A bachelor's degree in IT, software engineering, computer science, or a related technical field.
  • At least five years of experience deploying, operating, troubleshooting, or commissioning enterprise, HPC, cloud, or AI storage infrastructure.
  • Experience with physical storage hardware and advanced storage technologies, including network-attached filesystems, parallel filesystems, object storage systems, and proprietary and open-source storage solutions.
  • Experience with one or more modern scale-out storage platforms, such as VAST Data, Weka, IBM Storage Scale (GPFS), Dell PowerScale, Ceph, or Lustre.
  • Experience with block, file, and object storage systems and storage protocols, including NFS, SMB, S3, iSCSI, and NVMe-oF.
  • Experience using testing and benchmarking tools and processes to validate performance and acceptance tests.
  • Strong Linux administration and troubleshooting skills, including storage, networking, performance monitoring, and system diagnostics.
  • Experience with high-performance filesystems.
  • Strong project management skills and experience in complex technical projects.
  • Ability to work independently and as part of a team.
  • Strong written and verbal communication skills.
  • Willingness to undertake international or domestic travel for on-site deployments and commissioning as required.
  • Existing Australian working rights are required for candidates applying to the role.

Responsibilities

  • Deploy, configure, monitor, optimise, and troubleshoot high-performance, high-throughput storage systems.
  • Configure, test, diagnose, remediate, and benchmark the performance of high-end network storage solutions, parallel filesystems, and large-scale storage and archive systems.
  • Work with partners and vendors to respond to and resolve storage system issues identified during the bring-up and commissioning of large-scale AI platforms.
  • Analyse logs, run diagnostics, and coordinate with internal teams, partners, and vendors as required.
  • Develop and maintain monitoring tools to proactively identify bottlenecks, errors, and abnormal behaviours.
  • Test configurations, performance, redundant paths, and other aspects specified in commissioning test plans and acceptance tests.
  • Deploy, monitor, and troubleshoot high-end scale-out filesystems.
  • Maintain storage configurations and ensure system health using vendor and open-source tools.
  • Perform verification and acceptance tests for new storage systems.
  • Use knowledge of block, file, and object storage platforms, storage protocols (iSCSI, NFS, SMB, and parallel filesystems), and performance tools to monitor storage system health and performance.
  • Enable and test optimised storage solutions for AI frameworks, working with partners and vendors to ensure efficient access.
  • Perform in-depth diagnostics to resolve issues across HPC and AI workloads.
  • Develop and maintain automated storage configurations using Infrastructure as Code tools.
  • Implement CI/CD pipelines for configuration changes to improve speed, consistency, and auditability.
  • Automate routine tasks such as provisioning, backups, and compliance checks.
  • Support the deployment team with project management and resource allocation for the storage portion of AI cluster installations.
  • Collaborate with the Global Operations Centre, Software Defined Infrastructure team, Data Centre Infrastructure team, and Solution Architects to integrate new deployments.
  • Work with Firmus Engineering and Operations teams to align storage infrastructure with customer requirements.
  • Execute and analyse storage benchmark workloads using tools such as fio, mdtest, ior, and vendor-provided benchmarking tools.
  • Validate throughput, latency, metadata performance, resilience, and failure recovery characteristics.
  • Facilitate knowledge sharing and communication between teams and create and maintain comprehensive technical documentation.
  • Maintain relationships with technology partners and vendors and proactively manage and coordinate partner engagement on site.
  • Implement authentication and access controls for storage systems.
  • Implement secure storage configurations, including multi-tenant workload isolation.
  • Support vulnerability management by coordinating scanning, patching, and remediation tracking for storage infrastructure.
  • Collaborate with the Security and Risk team to enforce policies and respond to security incidents.
  • Participate in security incident response, including detection, containment, root cause analysis, and post-incident reporting, with the Security and Risk team.
  • Integrate storage telemetry and logs with SIEM and observability tooling for security monitoring.
  • Provide technical support and troubleshooting for advanced storage technologies, escalating issues to vendors as needed.

Desired Qualifications

  • A solid understanding of advanced storage technologies, particularly those related to AI, is highly advantageous.

About the Company

Firmus Technologies

Designs and operates AI GPU data-centers.

Firmus Technologies builds AI-focused data centers called the AI factory, featuring liquid-cooled GPU campuses and a GPU cloud. Its AI FactoryOS ties cooling, racks, and chips together to maximize uptime and throughput. It differentiates with a full hardware–software stack for AI, MLPerf efficiency data, NVIDIA partnerships, and renewable-powered campuses such as Tasmania’s Green AI Factory Zone. Its goal is to scale energy-efficient, sovereign AI infrastructure for tens of thousands of GPUs while reducing costs and boosting AI throughput.

Company size
51-200
Company stage
IPO
Headquarters
Launceston, Australia
Founded
2019

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