Note: The job is a remote job and is open to candidates in USA. Bitdeer is a technology company focused on AI and Bitcoin mining infrastructure, providing cloud capabilities and computational infrastructure. The Cloud Storage Integration Engineer will integrate and operate distributed storage systems for Bitdeer’s GPU cloud while optimizing performance, multi-tenancy, reliability, and the image, driver, and registry pipeline.
Responsibilities
- Design and integrate distributed / parallel file systems (e.g. Ceph, Lustre, GPFS / Spectrum Scale, BeeGFS, JuiceFS) 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 (dataset loading, checkpointing); 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. (Secondary scope.)
- Build monitoring, capacity planning, and runbooks; eliminate single points of failure
- Partner with Compute (delivery), Network (storage fabric / RDMA), and Control Plane (provisioning / quota) teams
Skills
- 3+ years (Senior 6+) in storage engineering or platform infrastructure, with hands-on distributed / parallel file system experience
- Strong understanding of distributed file system internals — data / metadata separation, replication, consistency models, POSIX vs object semantics
- Proven experience integrating and operating distributed storage in production (e.g. Ceph, Lustre, GPFS / Spectrum Scale, BeeGFS, JuiceFS, MinIO)
- Performance tuning for high-throughput / parallel I/O; familiarity with NVMe, RDMA / RoCE storage networking, and caching is a strong plus
- Strong Linux systems depth and automation skills (Python / Go, CI / CD)
- HPC / AI storage or multi-region storage experience a strong plus
Company Overview