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YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5b6f9322-a9a"},"title":"Staff Engineer, Storage Engine","description":"<p>CoreWeave is seeking a Staff Engineer, Storage Engine to join their team. The successful candidate will design and implement distributed storage solutions to support scaling data-intensive AI workloads. They will contribute to the development of exabyte-scale, S3-compatible object storage and integrate dedicated storage clusters into diverse customer environments.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Designing and implementing distributed storage solutions to support scaling data-intensive AI workloads</li>\n<li>Contributing to the development of exabyte-scale, S3-compatible object storage</li>\n<li>Integrating dedicated storage clusters into diverse customer environments</li>\n<li>Working with technologies such as RDMA, GPU Direct Storage, and distributed filesystems protocols such as NFS or FUSE to optimize storage performance and efficiency</li>\n<li>Leading efforts to improve the reliability, durability, security, and observability of the storage stack</li>\n<li>Collaborating with operations teams to monitor, troubleshoot, and improve storage systems in production environments</li>\n<li>Setting the bar for developing metrics and dashboards to provide visibility into storage performance and health</li>\n<li>Analyzing telemetry and system data to drive improvements in throughput, latency, and resilience</li>\n<li>Working cross-functionally with platform, product, and infrastructure teams to deliver seamless storage capabilities across the stack</li>\n<li>Sharing knowledge and mentoring other engineers on best practices in building distributed, high-performance systems</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>Bachelor&#39;s, Master&#39;s, or PhD degree in Computer Science, Engineering, or a related field</li>\n<li>8-10+ years of experience working in storage systems engineering or infrastructure</li>\n<li>Strong hands-on experience with object storage or distributed filesystems in production environments</li>\n<li>Experience with one or more storage protocols (e.g. S3, NFS) and file systems such as Ceph, DAOS, or similar</li>\n<li>Proficiency in a systems programming language such as Go, C, or Rust</li>\n<li>Proficiency leveraging AI tools to augment software development</li>\n<li>Familiarity with storage observability tools and telemetry pipelines (e.g., ClickHouse, Prometheus, Grafana)</li>\n<li>Experience working with cloud-native infrastructure, Kubernetes, and scalable system architectures</li>\n</ul>\n<p>The base salary range for this role is $188,000 to $275,000.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5b6f9322-a9a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"CoreWeave","sameAs":"https://www.coreweave.com","logo":"https://logos.yubhub.co/coreweave.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/coreweave/jobs/4612047006","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$188,000 to $275,000","x-skills-required":["distributed storage","object storage","S3-compatible object storage","RDMA","GPU Direct Storage","distributed filesystems protocols","NFS","FUSE","storage performance and efficiency","reliability","durability","security","observability","telemetry","system data","throughput","latency","resilience","cloud-native infrastructure","Kubernetes","scalable system architectures"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:50:33.024Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Livingston, NJ / New York, NY / Sunnyvale, CA / Bellevue, WA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"distributed storage, object storage, S3-compatible object storage, RDMA, GPU Direct Storage, distributed filesystems protocols, NFS, FUSE, storage performance and efficiency, reliability, durability, security, observability, telemetry, system data, throughput, latency, resilience, cloud-native infrastructure, Kubernetes, scalable system architectures","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":188000,"maxValue":275000,"unitText":"YEAR"}}}]}