Senior Cloud Storage Engineer - AI GPU Cloud, Multi-Region

United States Digital Space LLC; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Bitdeer is seeking a storage engineering professional to integrate distributed / parallel file systems into our GPU cloud, tailored for AI training and inference I/O patterns.

You will own end-to-end distributed storage integration, including provisioning, mounting, tenant isolation, quota, and lifecycle within the platform. This role emphasizes multi-region data locality, replication, durability, and cross-region access.

Qualifications

• 3+ years in storage engineering or platform infrastructure with hands-on distributed file systems experience.
• Strong understanding of distributed file system internals — data/metadata separation, replication, consistency models.
• Experience integrating and operating distributed storage in production (Ceph, Lustre, GPFS / Spectrum Scale, BeeGFS, JuiceFS, MinIO).

Responsibilities

• Design and integrate distributed / parallel file systems into the GPU cloud, optimized for AI training / inference I/O patterns.
• Own end-to-end distributed-storage integration: provisioning, mounting, multi-tenant isolation, quota, and lifecycle within the platform / control plane.
• Tune storage throughput and latency for large-scale parallel access; benchmark across GPU SKUs and workloads.
• Architect multi-region storage: data locality, replication / consistency, durability (failure domains), and cross-region access.
• Own golden images, templates, GPU drivers / CUDA, and the container / image registry, including versioned release and multi-region distribution.
• Build monitoring, capacity planning, and runbooks; eliminate single points of failure.
• Partner with Compute (delivery), Network (storage fabric / RDMA), and Control Plane teams.

Skills

Distributed file systems

Linux systems

Automation (Python/Go)

CI/CD

NVMe RDMA storage networking

Tools

Ceph

Lustre

GPFS / Spectrum Scale

BeeGFS

JuiceFS

MinIO

Job description

Bitdeer is seeking a storage engineering professional to integrate distributed / parallel file systems into our GPU cloud, tailored for AI training and inference I/O patterns.

You will own end-to-end distributed storage integration, including provisioning, mounting, tenant isolation, quota, and lifecycle within the platform. This role emphasizes multi-region data locality, replication, durability, and cross-region access.