Cloud Storage Integration Engineer

About the role

Bitdeer Technologies Group is building a massive GPU cloud for AI training and inference. We need a senior engineer who can design, integrate, and operate high‑performance distributed storage systems that power thousands of GPUs across multiple regions.

Key responsibilities

• Design and integrate distributed/parallel file systems (e.g., Ceph, Lustre, GPFS/Spectrum Scale, BeeGFS, JuiceFS) optimized for AI workloads.
• Own end‑to‑end storage provisioning, mounting, multi‑tenant isolation, quota management, and lifecycle within the control plane.
• Tune storage throughput and latency for large‑scale parallel access, benchmark across GPU SKUs and workloads.
• Architect multi‑region storage solutions covering data locality, replication, consistency, durability, and cross‑region access.
• Manage golden images, GPU drivers/CUDA, and container/image registry releases and multi‑region distribution (secondary scope).
• Build monitoring, capacity‑planning tools, and runbooks to eliminate single points of failure.
• Collaborate with Compute, Network (RDMA storage fabric), and Control‑Plane teams.

Required profile

• 3+ years of experience in storage engineering or platform infrastructure, with hands‑on work on distributed/parallel file systems.
• Deep understanding of distributed file‑system internals such as data/metadata separation, replication, and consistency models.
• Proven ability to deliver reliable, high‑throughput storage services at scale.

Required skills

• Ceph, Lustre, GPFS/Spectrum Scale, BeeGFS, JuiceFS
• GPU drivers and CUDA
• Container/image registry technologies
• RDMA and high‑performance storage fabric concepts
• Linux system administration and scripting for automation

What we offer

• Competitive salary range $145,000 – $260,000 per year
• Remote‑first work model with flexibility to work from anywhere in the US
• Opportunity to shape storage infrastructure for cutting‑edge AI workloads