Staff Storage Engineer

Job Description

Requirements
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### Must have:

### - We want someone with 10+ years of storage systems administration experience, with a strong emphasis on petabyte-scale on-premises data environments. - We need deep knowledge of storage architectures, including block, file, and object systems, plus a solid grasp of I/O paths. - We expect hands-on experience with performance benchmarking and observability tools such as FIO, ElBencho, blktrace, nvme-cli, nfs-gaze, and eBPF. - We look for practical experience with SSDs, NVMe, RAID, caching, or distributed storage platforms. - We highly value familiarity with enterprise flash arrays and distributed file systems, especially VAST Data and Pure Storage (Everpure). - We need proficiency in scripting with Python, Go, or bash to automate array administration and monitoring. - We want someone who can analyze complex performance data and communicate clear conclusions. - We require proven experience leading technical requirements authoring, evaluating RFP responses, and managing complex vendor relationships. - We look for experience designing systems for specific I/O workloads such as AI training and inference, along with a disciplined approach to testing and validating vendor releases. - We value a genuine interest in our mission to reduce the environmental impact of the AI revolution through sustainable infrastructure. - Bonus: experience with RDMA, iSCSI, NVME-oF, RoCEv2, or InfiniBand networking as it relates to high-performance storage. - Bonus: prior experience at a major Cloud Service Provider or a high-scale AI infrastructure company. - Bonus: familiarity with distributed storage systems such as Ceph, Lustre, or Gluster.

Responsibilities:
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- We will rely on you to evaluate the performance of block, file, and object storage systems across a range of workloads. - We expect you to identify bottlenecks across hardware, firmware, operating system, and application layers. - We need you to design and run performance test plans, benchmarks, and stress tests. - You will tune storage stacks, including I/O schedulers, caching layers, drivers, and protocols, to meet target KPIs. - You will design and execute proof-of-concept exercises for new storage arrays. - You will validate new vendor software releases in staging before wider production rollout. - You will own the initial bring-up, configuration, and ongoing optimization of large enterprise arrays. - You will manage the lifecycle of the storage operating system to keep systems tuned for AI training and inference I/O patterns. - You will partner with Compute and Networking teams to build a seamless, gold-standard cloud infrastructure. - You will design cloud-scale storage systems that perform well in high-concurrency, high-throughput environments. - You will lead technical evaluations of new storage technologies. - You will author RFPs, review vendor responses, and guide down-selection decisions for storage investments. - You will serve as the main technical contact for storage partners and work with their engineering teams on bugs, feature gaps, and roadmap priorities. - You will collaborate closely with service engineering and architecture teams to influence design decisions. - You will provide performance guidance during feature development and release cycles. - You will share findings clearly with both technical and non-technical stakeholders.
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Company:
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We are Crusoe, a vertically integrated AI infrastructure company on a mission to accelerate the abundance of energy and intelligence by aligning the future of computing with the future of the climate. Our team builds and operates every layer of the stack, from electrons to tokens, to power ambitious AI workloads at world-class scale. In this role, you will join our Storage Team as a Staff Storage Engineer and help shape the data layer for our AI cloud, working at the intersection of large-scale data movement and high-performance GPU environments. You will collaborate with experts across energy, manufacturing, data center construction, cloud services, compute, networking, service engineering, and architecture. We offer competitive compensation and equity, RSUs, comprehensive health, dental, and vision coverage, paid time off and holidays, parental leave, retirement matching, professional development support, wellness resources, commuter benefits, a phone stipend, volunteer time off, travel insurance, daily meal allowance, and other location-specific perks. The compensation range for this position is $180,000 to $225,000 plus bonus.
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