Staff Storage Systems Engineer

What You'll Be Working On

Performance Analysis & Optimization

• Evaluate performance of block, file, and object storage systems across diverse workloads.
• Identify bottlenecks at the hardware, firmware, OS, and application layers.
• Develop and execute performance test plans, benchmarks, and stress tests.
• Tune storage stacks (I/O schedulers, caching layers, drivers, protocols) to achieve target KPIs.

Validation & Testing

• Design and execute Proof of Concept (PoC) exercises to take new arrays through their paces.
• Validate new vendor software releases in staging environments before rolling them out to global production footprint.

Full-Stack Administration

• Own the initial bring-up, configuration, and ongoing performance tuning of large enterprise arrays.
• Manage the lifecycle of the storage OS, ensuring all systems are optimized for AI training and inference I/O patterns.

Enterprise Infrastructure Building

• Collaborate with the Compute and Networking teams to build a seamless "gold standard" cloud infrastructure.
• Design cloud-scale storage systems that can excel in high-concurrency, high-throughput environments.

Storage Strategy & Selection

• Lead the technical evaluation of new storage technologies.
• Author RFPs, review vendor responses, and lead "down selection" processes to ensure investment in the best hardware for AI workloads.

Vendor Roadmap Influence

• Serve as the primary technical point of contact for storage partners (such as VAST Data, Pure Storage).
• Sit with their engineering teams to provide feedback on bugs, missing features, and prioritize Crusoe’s requirements on their development roadmaps.

Cross-Functional Collaboration

• Work closely with service engineering and architecture teams to influence design decisions.
• Provide performance guidance during feature development and release cycles.
• Communicate findings to both technical and non-technical stakeholders.

What You'll Bring to the Team

• 10+ years of experience in storage systems administration with a heavy focus on petabyte-scale, on-premise data environments.
• Strong understanding of storage architectures (block, file, object) and I/O paths.
• Hands-on experience with performance benchmarking and observability tools (FIO, ElBencho, blktrace, nvme-cli, nfs-gaze, eBPF, etc.).
• Experience with SSDs, NVMe, RAID, caching, or distributed storage systems.
• Deep familiarity with enterprise flash arrays and distributed file systems. Specific experience with VAST Data, Pure Storage (Everpure) is highly preferred.
• Proficiency with scripting (Python, Go or bash) to automate array management and monitoring.
• Ability to analyze complex performance data and present clear conclusions.
• Proven ability to lead the authoring of technical requirements, evaluating RFP responses and managing complex vendor relationships.
• Experience with system design for specific I/O use cases (AI training/inference) and a disciplined approach to testing and validating new vendor releases.

Bonus Points

• Experience with RDMA, iSCSI, NVME-oF, RoCEv2 or InfiniBand networking as it relates to high-performance storage.
• Previous experience at a major Cloud Service Provider (CSP) or a high-scale AI infrastructure company.
• Familiarity with distributed storage systems (Ceph, Lustre, Gluster, etc.).

Benefits & Compensation

Compensation Range: $180,000 - $225,000 + Bonus. Restricted Stock Units are included in all offers.