Bitdeer (NASDAQ: BTDR)
Posted 38 days agoVerified live 8h ago
Cloud Storage Integration Engineer (Storage / Image / Registry)
Brief overview
Remote
$145k–$260k/yrStated range
3+ yrsMinimum
2 H-1B approvalsDept. of Labor
Distributed File SystemsCephLustreGPFS / Spectrum ScaleBeeGFSJuiceFSMinIODistributed Storage IntegrationStorage Performance TuningParallel I/OMulti-Region StorageLinuxPythonGoCI/CDNVMeRDMA / RoCE
About the company
Bitdeer (NASDAQ: BTDR)bitdeer.com
Bitdeer is a world-leading technology company for AI and Bitcoin mining infrastructure.
Visa sponsorship history
3 years sponsoring, last filed FY2025
Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.2H-1B approved
100%approval rate
1new H-1B hires
$132,000median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
20231
20251
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
20242
20252
Top sponsored roles
Legal CounselSenior Legal CounselDirector of Government Relations (North America Region)
Job description
Summary
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
Qualifications
Must Haves
- 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
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