Senior Software Engineer (Object Storage)

Coreweave; Livingston; On-site; GBP 90,000 - 120,000; Full time

Job summary

CoreWeave is seeking storage systems engineers to design and implement distributed storage for AI workloads, delivering scalable, high-performance object storage and integration with diverse environments.

You will collaborate with cross-functional teams to improve reliability, observability, and throughput while mentoring peers on best practices in building fast storage systems.

Qualifications

• Experience with storage systems engineering or infrastructure.
• Proficiency in Go, C, or Rust for systems programming.
• Familiarity with storage telemetry and observability tools.

Responsibilities

• Design and implement distributed storage solutions for AI workloads.
• Develop exabyte-scale, S3-compatible object storage integrations.
• Collaborate with platform, product, and infra teams to deliver storage capabilities.
• Improve reliability, durability, security, and observability of storage stacks.
• Analyze telemetry to drive throughput and latency improvements.
• Mentor engineers on best practices for high-performance systems.

Skills

Go

C

Rust

Kubernetes

Prometheus

Grafana

ClickHouse

S3

NFS

Ceph

DAOS

RDMA

Education

Bachelor’s degree in Computer Science or Engineering

Advanced degree (MS/PhD) in related field

Tools

Ceph

DAOS

Kubernetes

Job description

• The Storage Engine Team at CoreWeave is responsible for the product capabilities and data plane function of CoreWeave’s managed storage products
• We build reliable, scalable storage solutions with segment leading performance
• Storage engine works with engineering teams across infrastructure, compute, and platform to ensure our storage services meet the needs of the world’s most demanding AI workloads
• 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
• Work with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency
• Lead efforts to improve the reliability, durability, security, and observability of our storage stack
• Collaborate with operations teams to monitor, troubleshoot, and improve storage systems in production environments
• Set the bar for developing metrics and dashboards to provide visibility into storage performance and health
• Analyze telemetry and system data to drive improvements in throughput, latency, and resilience
• Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack
• Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems

• Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar6+ years of experience working in storage systems engineering or infrastructure
• Proficiency in a systems programming language such as Go, C, or Rust
• Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana)
• Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures
• Bachelor’s, Master’s, or PhD degree in Computer Science, Engineering, or a related field
• Proficiency leveraging AI tools to augment software development
• Strong hands-on experience with object storage or distributed filesystems in production environments
• You love to grow and push the boundaries of your expertise
• You’re an expert in data persistence on physical media, high performance data transfer using RDMA, or resilient distributed systems
• You’re curious about distributed storage and the demands AI/ML workloads