High Performance Computing Storage Architect

1 week ago

Sydney, New South Wales, Australia beBeeStorage Full time $180,000 - $200,000

Join us to become a skilled HPC Storage Architect, building and maintaining scalable storage infrastructure.

We are looking for an experienced professional who can scale our storage infrastructure to support growing data volumes and multiple global research initiatives. As a leading player in the field, we require someone with exceptional technical knowledge to provide expert support, balance workloads across regions, and ensure our systems can efficiently handle current and future storage demands.

Your Key Responsibilities:
  • Create high-performance, scalable, reliable, and future-proof storage platforms
  • Collaborate with cross-functional research and engineering teams, enabling them to leverage optimized storage solutions, streamline data workflows, and accelerate computational workloads across global infrastructures
  • Analyze and resolve complex storage, Linux, and networking challenges in a fast-paced environment
  • Integrate storage systems with distributed computing clusters, ensuring seamless compatibility with hardware and software across multiple locations
  • Participate in 'follow-the-sun' support, responding proactively to critical storage issues and ensuring continuous uptime for our operations worldwide.
Your Skills and Qualifications:
  • 5+ years of experience in system storage architecture and design within large-scale compute environments.
  • Proficiency in storage system design and optimization with systems like Lustre, GPFS, S3, BeeGFS, Weka, Ceph, Vast, PowerScale, DDN, MinIO.
  • Understanding of the implementation of storage stack from the kernel to user space (including file systems, block storage, I/O schedulers, VFS).
  • Experience with storage benchmarking and performance tuning, analyzing throughput, latency, IOPS, and workload-specific optimizations.
  • Ability to manage large-scale, performance-critical environments, including capacity planning, scaling, and optimization.
  • Familiarity with hardware components critical to storage systems, including NVMe, CPU/GPU/xPU architectures, PCIe, power utilization, NIC (eth/ib), PMEM, SCM.
  • Programming skills in languages such as Rust, Python, Go, or Bash.
  • Nice to have: Kubernetes, CSI, Slurm, AWS, GCP, HDFS, AI/ML frameworks, Prometheus, Terraform/Ansible.
  • Strong communication skills with the ability to explain complex technical concepts to non-technical audiences.
Seniority Level
  • Mid-Senior level
Employment Type
  • Full-time
Job Function
  • Information Technology and Engineering
Industries
  • Capital Markets

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