Senior AI Object Storage Engineer — Hyperscale Cloud

Coreweave; Wrocław; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Family-level Medical Insurance

Family-level Dental Insurance

Generous Pension Contribution

Life Assurance at 4x Salary

Critical Illness Cover

Job summary

CoreWeave is seeking a Storage Engineer to design, scale, and operate a high‑performance AI storage platform. You will work on reliable storage systems engineered for hyperscale cloud environments, providing the backbone for some of the world’s largest AI workloads.

You will bring 6–10 years in storage systems engineering, strong experience with Ceph/DAOS, S3/NFS, and proficiency in Go/C/Rust, plus cloud-native infrastructure and Kubernetes know‑how.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
• 6–10 years of experience in storage systems engineering or infrastructure operations.
• Strong hands-on experience with object storage or distributed file systems in production environments.
• Deep experience with storage protocols (e.g., S3, NFS) and distributed architectures such as Ceph, DAOS, or similar.
• Proficiency in a systems programming language such as Go, C, or Rust.
• Solid understanding of cloud-native infrastructure, Kubernetes, and scalable system architecture.

Responsibilities

• Design, scale, and operate CoreWeave's high-performance AI storage platform.
• Develop reliable storage systems engineered for hyperscale cloud environments.
• Provide storage backbone supporting large-scale AI workloads.
• Collaborate on cross-functional teams to improve storage reliability and performance.

Skills

Storage systems

Go / C / Rust

Kubernetes

Distributed storage

Troubleshooting

Education

Bachelor's or Master's in CS/Engineering

Tools

Ceph

DAOS

S3/NFS

ClickHouse

Prometheus

Grafana

Job description

CoreWeave is seeking a Storage Engineer to design, scale, and operate a high‑performance AI storage platform. You will work on reliable storage systems engineered for hyperscale cloud environments, providing the backbone for some of the world’s largest AI workloads.

You will bring 6–10 years in storage systems engineering, strong experience with Ceph/DAOS, S3/NFS, and proficiency in Go/C/Rust, plus cloud-native infrastructure and Kubernetes know‑how.