Senior Engineer, Storage (File & Block)

Job Summary

We are seeking a Senior Storage Engineer, File & Block to join our Storage team at CoreWeave. As a Senior Storage Engineer, you will be responsible for building and operating the file and block storage services that power our large AI training and inference workloads and internal stateful services.

Responsibilities

• Design, build, and operate highly scalable, multi-tenant file and block storage services
• Own the file system data path, including NFS hot-path reliability, IO resilience, and performance
• Build a native block storage service with durable, high-performance block volumes for customer workloads and internal stateful services
• Deliver both file and block as first-class Kubernetes citizens with dynamic provisioning, resize, snapshots, and RWO block volumes
• Build the control plane with multi-tenant isolation, quota, QoS, snapshots, key management, audit, and lifecycle policy
• Improve the reliability, durability, and observability of the storage stack
• Work cross-functionally with platform, product, and infrastructure teams to deliver seamless storage across the stack
• Share your knowledge and mentor other engineers on best practices in building distributed, high-performance systems

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 6-10 years of experience building storage systems, distributed systems, or infrastructure services
• Strong hands-on experience with distributed or networked file systems and/or block storage in production
• Depth in the storage data path, including IO performance, caching, small-file and metadata-heavy workloads, crash consistency, and resilience under load
• Experience with multi-tenant services or storage control planes
• Proficiency in a systems/back-end language, preferably Go
• Experience building on Kubernetes, including controllers/operators, CRDs, and CSI
• Familiarity with distributed databases, workflow orchestration, and gRPC/Protobuf service design
• Strong debugging and problem-solving skills in distributed, high-performance environments
• Clear communication and collaboration skills

Nice to Have

• Experience with distributed or parallel storage stacks such as Ceph/RBD, Lustre, GPFS/Spectrum Scale, BeeGFS, WEKA, VAST, or DAOS
• Familiarity with storage observability tools and telemetry pipelines
• Exposure to high-performance data-path technologies

What We Offer

• Competitive salary: $182,000 to $242,000 per year
• Comprehensive benefits package, including medical, dental, and vision insurance, company-paid life insurance, and flexible spending account
• Opportunity to participate in employee stock purchase program
• Mental wellness benefits and family-forming support
• Paid parental leave and flexible PTO
• Flexible, full-service childcare support and catered lunch in our office and data center locations
• A casual work environment and a work culture focused on innovative disruption