Staff Storage Platform Engineer (AI Storage) - Radian Arc

Triwill Group; United Kingdom; Remote; GBP 90,000 - 130,000; Full time

Job summary

Radian Arc is seeking a Staff Storage Platform Engineer (AI Storage) to lead storage architecture powering large-scale GPU and AI infrastructure in the United Kingdom. This Staff-level role combines architectural ownership with hands-on engineering to design, build, and operate high-performance storage across edge and core environments.

You will focus on throughput, latency, resilience, and cost efficiency, working at the intersection of storage, GPUs, networking, Kubernetes, and AI platform

Responsibilities

• Design, build and operate high-performance storage systems for AI workloads including training, fine-tuning and distributed inference.
• Provide architectural ownership with hands-on engineering, troubleshooting, and performance optimization.
• Define reusable storage standards and influence platform direction while mentoring engineers across infra domains.

Job description

Description:

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 United Kingdom.

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 ideal environment for a senior storage expert who wants significant technical ownership and direct impact on next-generation AI infrastructure.