Staff Engineer, Distributed Storage for AI Workloads

CoreWeave

York and North Yorkshire

On-site

GBP 90,000 - 130,000

Full time

14 days+
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Job summary

CoreWeave in the United Kingdom is seeking a Senior Storage Systems Engineer to design and implement distributed storage for AI workloads. You will collaborate with infrastructure, compute, and platform teams to deliver high-performance storage services that scale across clusters.

The role requires deep experience with object storage or distributed filesystems, Kubernetes, and performance instrumentation. You will develop reliable, observable storage pipelines using Prometheus, Grafana, and

Qualifications

  • 8–10+ years in storage systems engineering or infrastructure.
  • Production experience with object storage or distributed filesystems.
  • Experience with cloud-native infrastructure, Kubernetes, and scalable architectures.
  • Proficiency in Go, C, or Rust.
  • Familiarity with telemetry tools and pipelines (Prometheus, Grafana, ClickHouse).
  • Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field.

Responsibilities

  • Design and implement distributed storage solutions to support scaling data intensive AI workloads.
  • Contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments.
  • Lead efforts to improve reliability, durability, security, and observability of the storage stack.
  • Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments.
  • Share knowledge and mentor other engineers on best practices in building distributed, high-performance systems.

Skills

Storage systems
Object storage
Kubernetes
Go
C
Rust
Telemetry & observability
Prometheus
Grafana
Ceph/DAOS

Education

CS/Engineering degree

Tools

Ceph
DAOS
NFS
S3
ClickHouse
Prometheus
Grafana
Kubernetes
Go
Rust
C

Job description

CoreWeave in the United Kingdom is seeking a Senior Storage Systems Engineer to design and implement distributed storage for AI workloads. You will collaborate with infrastructure, compute, and platform teams to deliver high-performance storage services that scale across clusters.

The role requires deep experience with object storage or distributed filesystems, Kubernetes, and performance instrumentation. You will develop reliable, observable storage pipelines using Prometheus, Grafana, and

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