This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Storage Platform Engineer (AI Storage) - Radian Arc based in Spain.
This is a Staff-level opportunity to shape the storage architecture powering large-scale GPU and AI infrastructure across edge and core environments.
You will design, build, and operate high-performance storage systems supporting training, fine-tuning, and distributed inference workloads.
The role covers hyperconverged, local NVMe, and disaggregated storage architectures, with a strong focus on throughput, latency, resilience, and cost efficiency.
You will work at the intersection of storage, GPUs, networking, Kubernetes, and AI platform engineering, ensuring storage never becomes a bottleneck for compute.
As the primary storage specialist, you will combine architectural ownership with hands-on engineering, troubleshooting, performance optimization, and deployment.
You will also define reusable standards, influence long-term platform direction,



and mentor engineers across adjacent infrastructure domains.
This is an idóneo environment for a senior storage expert who wants significant technical ownership and direct impact on next-generation AI infrastructure.
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Accountabilities
Storage architecture: Design scalable storage architectures for edge and core GPU deployments, covering hyperconverged platforms such as StorPool, local NVMe, and disaggregated systems such as VAST Data and Weka. Define reference architectures, reusable design patterns, fault domains, lifecycle strategies, and scaling approaches while balancing throughput, latency, resilience, data locality, operability, and cost.
AI workload optimization: Optimize storage for distributed training, fine-tuning, and inference workloads, including large dataset ingestion, model artifact distribution, checkpointing, and high-concurrency access. Establish realistic performance baselines and ensure storage architec

📌 Staff Storage Platform Engineer (España)
🏢 Jobgether
📍 España