Senior GPU Cloud Storage SRE for AI Training

Devopsroles; San Jose (CA); Remote; USD 150,000 - 230,000; Full time

Job summary

Bitdeer Technologies Group is hiring a Sr. GPU Cloud Storage Solutions Expert (SRE SME) to own the IO layer that trains AI models and to deploy a high-performance storage stack across US data centers.

You will implement parallel storage systems, tune I/O patterns, and provide signals for predictive insights into storage faults. You’ll build multi-tenant storage with QoS, optimize for checkpoint bursts, and contribute to the AIOps substrate by instrumenting telemetry and automating remediation.

Qualifications

• 5+ years in enterprise or HPC storage operations, with at least 2 years supporting AI/ML workloads.
• Hands-on deployment and operations experience with at least two of: WEKA, VAST Data, Ceph, DDN/Lustre.
• Strong understanding of AI training I/O patterns: checkpoint frequency, dataset loading, shuffle buffers.
• Experience with high-performance storage networking (NFS over RDMA, NVMe-oF).
• Knowledge of GPU Direct Storage and RDMA-based data transfer.
• Proficiency in storage performance benchmarking and tuning (fio, IOR, mdtest).
• Experience implementing multi-tenant storage with isolation and QoS.
• Strong Linux systems knowledge (kernel tuning, filesystem internals, block device management).
• Runbook automation mindset: SOPs that are executable by machines within a quarter.

Responsibilities

• Deploy and operate parallel/distributed storage systems: WEKA, VAST Data, Ceph, DDN/Lustre; design architectures for AI workloads.
• Implement multi-tenant storage isolation with per-tenant QoS, quotas, and access controls; configure GPU Direct Storage for direct GPU-to-storage paths.
• Deploy and manage storage networking (NFS over RDMA, NVMe-oF) and Nvidia CMX for cluster-wide storage orchestration.
• Diagnose and tune storage performance: IOPS, throughput, latency profiling with fio, IOR, mdtest; maintain runbooks for failure modes.
• Plan storage capacity aligned with GPU cluster growth and customer workload projections; manage firmware, data migration, and DR procedures.

Skills

Storage operations

AI/ML I/O patterns

Linux systems

Multi-tenant QoS

Runbook automation

GPU Direct Storage

Education

Bachelor’s degree or equivalent

Tools

WEKA

VAST Data

Ceph

DDN/Lustre

NFS over RDMA

NVMe-oF

fio

IOR

mdtest

Job description

Bitdeer Technologies Group is hiring a Sr. GPU Cloud Storage Solutions Expert (SRE SME) to own the IO layer that trains AI models and to deploy a high-performance storage stack across US data centers.

You will implement parallel storage systems, tune I/O patterns, and provide signals for predictive insights into storage faults. You’ll build multi-tenant storage with QoS, optimize for checkpoint bursts, and contribute to the AIOps substrate by instrumenting telemetry and automating remediation.