6 дней назад
Storage Engineer, AI Cluster Commissioning
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Storage Engineer, AI Cluster Commissioning (AI infrastructure): Deploying, configuring, and commissioning high-performance storage systems and scale-out filesystems for large-scale AI clusters with an accent on storage performance, reliability, automation, and security. Focus on validating throughput and latency, integrating storage with AI and HPC workloads, automating configurations with IaC and CI/CD, and diagnosing complex infrastructure failures on site.
Location: Based in Australia or Singapore, with regular domestic and international travel to project sites in Australia and Southeast Asia for on-site deployments and commissioning.
Company
Technologies develops and operates energy-efficient AI infrastructure and the AI Cloud platform across the Asia-Pacific region.
What you will do
- Deploy, configure, monitor, optimise, troubleshoot, and commission high-performance storage systems for AI infrastructure projects.
- Deploy and maintain scale-out and parallel filesystems across block, file, and object storage environments.
- Run benchmark and acceptance tests covering throughput, latency, metadata performance, resilience, and failure recovery.
- Develop automated storage configurations with Infrastructure as Code, CI/CD pipelines, and provisioning, backup, and compliance automation.
- Coordinate with engineering, operations, security, solution architecture, partners, and vendors during cluster deployments and incident response.
- Implement access controls, secure multi-tenant configurations, vulnerability remediation, and storage telemetry integration with SIEM and observability tools.
Requirements
- Bachelor’s degree in IT, software engineering, computer science, or a related technical field.
- 5+ years of experience deploying, operating, troubleshooting, or commissioning enterprise, HPC, cloud, or AI storage infrastructure.
- Experience with physical storage hardware, network-attached and parallel filesystems, object storage, and modern scale-out platforms such as VAST Data, Weka, IBM Storage Scale, Dell PowerScale, Ceph, or Lustre.
- Knowledge of NFS, SMB, S3, iSCSI, NVMe-oF, high-performance filesystems, and storage benchmarking tools such as fio, mdtest, and ior.
- Strong Linux administration, networking, performance monitoring, diagnostics, analytical, communication, and project management skills.
- Ability to undertake regular domestic and international travel for on-site deployments and commissioning.
Nice to have
- Advanced storage technology experience related to AI workloads.
Culture & Benefits
- Work with founders and experts in AI infrastructure, energy systems, and next-generation compute.
- Gain exposure to AI infrastructure through an NVIDIA Cloud and Engineering partner in Asia Pacific.
- Operate in a founder-led environment with fast decisions, accessible leadership, and limited bureaucracy.
- Take ownership early and contribute to long-term, large-scale infrastructure projects.
- Work on infrastructure designed to improve energy efficiency and strengthen the communities and regions where it operates.
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