Cloud Storage Integration Engineer – Storage, Image, Registry

🔥 0 minutes ago

🏄 California, Texas – Remote

🏄 California – Remote 🤠 Texas – Remote

💵 $145k - $260k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 5%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Bitdeer Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

💼 Consulting

📦 Logistics

🏗️ Construction

💰 Post-IPO Equity on 2023-05

Consulting • Logistics • Construction

Bitdeer Group is a leader in the blockchain and high-performance computing industry. It is one of the world’s largest holders and suppliers of hash rate, offering specialized mining infrastructure and high-quality hash rate sharing products. Founded by cryptocurrency pioneer Jihan Wu and led by CEO Matt Linghui Kong, the company is headquartered in Singapore with mining datacenters in the United States, Norway, and Bhutan. Bitdeer is committed to providing comprehensive computing solutions, including cloud services and AI capabilities, while emphasizing dedication, authenticity, and trustworthiness in its mission to be the most reliable provider in the industry.

📋 Description

• Design and integrate distributed / parallel file systems into the GPU cloud for AI training and inference I/O patterns • Own end-to-end distributed-storage integration, including provisioning, mounting, multi-tenant isolation, quota, and lifecycle within the platform / control plane • Tune storage throughput and latency for large-scale parallel access, including dataset loading and checkpointing • Benchmark storage across GPU SKUs and workloads • Architect multi-region storage covering 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, Network, and Control Plane teams

🎯 Requirements

• 3+ years in storage engineering or platform infrastructure; Senior level requires 6+ years • Hands-on distributed / parallel file system experience • Strong understanding of distributed file system internals, including data / metadata separation, replication, consistency models, and POSIX vs object semantics • Proven experience integrating and operating distributed storage in production, such as Ceph, Lustre, GPFS / Spectrum Scale, BeeGFS, JuiceFS, or MinIO • Performance tuning for high-throughput / parallel I/O • Strong Linux systems depth and automation skills using Python / Go and CI / CD • Familiarity with NVMe, RDMA / RoCE storage networking, and caching is a strong plus • HPC / AI storage or multi-region storage experience is a strong plus