# Senior Storage Engineer at Lambda

Lambda is hiring a Senior Storage Engineer. It pays $250k-$370k a year and Level rates it Little AI ●○○○; you can [apply on Lambda](https://jobsbylevel.com/go/dd085ed1-e232-40dd-ad9e-ba99cf8c95b2?utm_medium=ai-agent).

AI Level 1, AI centrality 10 out of 100. Remote (San Jose Office (Zanker)).

## Details

- Company: [Lambda](https://jobsbylevel.com/companies/lambda)
- AI level: AI Level 1 (score 10 out of 100)
- Location: Remote (San Jose Office (Zanker))
- Salary: $250k-$370k
- Posted: November 13, 2026
- Apply: https://jobsbylevel.com/go/dd085ed1-e232-40dd-ad9e-ba99cf8c95b2?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-storage-engineer-at-lambda-064796

## Description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. *Note: This position requires presence in our San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. For distributed AI workloads, GPU compute power is only one factor. High-performance networking and storage are essential for interconnecting these systems and supporting AI training and inference at scale. Lambda’s Infrastructure Engineering team integrates advanced storage, networking, and compute hardware to build high-performance clusters. Our expertise lies at the intersection of: High-Performance Distributed Storage Solutions: We deploy and maintain the storage systems that provide customer training and inference datasets at the speeds demanded by modern clustered GPUs. Software Defined Networking: We deploy software defined network overlays that provide multi-tenant security and intelligent routing without compromising performance, using the latest in high-performance networking hardware. Compute Virtualization: We enable virtualization that allows AI researchers and engineers to focus on AI workloads, not AI infrastructure. Cluster Integrity: We own the cluster integrity lifecycle: validating deployments, diagnosing performance and health across hardware and fabrics, and providing proactive remediation. About the Role You will focus on design, standards, and domain expertise Validation Design: Author comprehensive performance and correctness validation plans for new storage tiers. Standardization: Draft Standard Operating Procedures (SOPs) and alerting/monitoring frameworks to scale operations. Security & Access: Own the access-control lifecycle for storage solutions, managing both vendor and customer permissions. Strategic Partnerships: Lead technical communications with vendors and act as a subject matter expert (SME) for customer success and complex account assistance. Leadership: Identify and act on signals for operational ownership; mentor junior engineers in specific storage sub-domains. You 8+ years of experience designing, building, and operating large-scale multi-petabyte storage production environments A strong understanding of diverse storage solutions and their ecosystems: Familiarity with one or more storage solutions of the following vendors: Vast, Weka, DDN, NetApp, PureStorage, Dell, IBM, HPE File, Block, and Object storage types Storage Network Access Protocols such as NFS, SMB, and POSIX-compliant protocols. NVME over Fabric Storage Transport Protocols: NVME/TCP, NVME/IB, or NVME/RoCE Storage performance via RDMA, GPUDirect Storage, parallel file systems Encryption, storage security, and multi-tenancy strategies Storage data-reduction and compression Data protection concepts, backup strategies, and disaster recovery 5+ years of experience in Infrastructure as Code (e.g. Terraform, Ansible). Nice to Have Experience with Kubernetes, including CSI and COSI drivers and CNI’s Deep understanding of storage performance Strong understanding of public cloud features (e.g., SDN, block storage, distributed file systems, identity management) Experience deploying, operating, and maintaining Software Defined Storage Have implemented either open-source or commercial storage monitoring solutions Salary Range Information The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About Lambda Founded in 2012, with 500+ employees, and growing fast Our investors notably

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## Cite this page

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