Senior GPU Cloud Storage Architect for AI/ML Ops

Bitdeer (NASDAQ: BTDR); Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Bitdeer is seeking a seasoned Storage Operations Engineer to deploy and manage AI-focused storage platforms. You will optimize I/O patterns, design multi-tenant storage with QoS, and tune networking for high-performance AI workloads.

The role emphasizes observability, automation, and scalable storage for GPU clusters. Applicants should have 5+ years in HPC/storage operations, hands-on experience with WEKA/VAST/Ceph/DDN/Lustre, and strong Linux expertise.

Qualifications

• 5+ years in enterprise or HPC storage operations, with AI/ML workload experience.
• Hands-on deployment with WEKA, VAST Data, Ceph or DDN/Lustre.
• Strong Linux systems knowledge (kernel tuning, filesystems, block devices).

Responsibilities

• Deploy and operate storage systems optimized for AI workloads.
• Implement multi-tenant storage with per-tenant QoS and access controls.
• Configure and optimize storage networking (NFS over RDMA, NVMe-oF).
• Benchmark and tune storage performance (fio, IOR, mdtest).
• Plan capacity for GPU clusters and manage firmware, data migration and DR procedures.

Skills

Storage operations

AI data I/O patterns

Linux systems

Observability/telemetry

Runbook automation

Storage benchmarking

Multi-tenant QoS

Networking for storage

GPU Direct Storage

High-performance storage networking

Tools

WEKA

VAST Data

Ceph

DDN/Lustre

Job description

Bitdeer is seeking a seasoned Storage Operations Engineer to deploy and manage AI-focused storage platforms. You will optimize I/O patterns, design multi-tenant storage with QoS, and tune networking for high-performance AI workloads.

The role emphasizes observability, automation, and scalable storage for GPU clusters. Applicants should have 5+ years in HPC/storage operations, hands-on experience with WEKA/VAST/Ceph/DDN/Lustre, and strong Linux expertise.