Senior AI Object Storage Engineer — Exabyte-Scale Cloud-Native

Coreweave; Województwo pomorskie; On-site; PLN 548,000 - 821,000; 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

Employee Assistance Programme

Tuition Reimbursement

Work culture focused on innovative dis

Job summary

CoreWeave is seeking a senior Storage Engineer to design and operate a high-performance AI storage platform. You will scale distributed storage systems, optimize for hyperscale cloud environments, and contribute to the storage backbone powering leading AI workloads.

Ideal candidates have 6–10 years of storage systems experience, strong hands-on with object storage and protocols like S3/NFS, and proficiency in Go, C, or Rust. A cloud-native mindset and solid observability skills are essential.

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 working in storage systems engineering or infrastructure operations.
• Strong hands‑on experience with object storage or distributed file systems in production environments.
• Deep experience with one or more 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.
• Familiarity with storage observability tools, telemetry pipelines, and open‑source data stacks (e.g., ClickHouse, Prometheus, Grafana).
• Strong debugging, problem‑solving, and cross‑functional communication skills in complex, high‑performance distributed environments.

Responsibilities

• The Storage Engineering team builds, scales, and operates CoreWeave's high-performance AI storage platform.
• We design reliable, high-throughput storage systems engineered natively for hyperscale cloud environments, providing the storage backbone that powers AI workloads.
• Collaborate cross-functionally to ensure reliable operation, observability, and performance at scale.

Skills

Go

C

Rust

Kubernetes

Cloud-native infra

S3

NFS

Ceph

DAOS

ClickHouse

Prometheus

Grafana

Debugging

Problem solving

Cross-functional communication

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)

Job description

CoreWeave is seeking a senior Storage Engineer to design and operate a high-performance AI storage platform. You will scale distributed storage systems, optimize for hyperscale cloud environments, and contribute to the storage backbone powering leading AI workloads.

Ideal candidates have 6–10 years of storage systems experience, strong hands-on with object storage and protocols like S3/NFS, and proficiency in Go, C, or Rust. A cloud-native mindset and solid observability skills are essential.