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Storage Jobs in California (NOW HIRING)

Lambda

Staff Storage Engineer

San Francisco, CA · On-site

$349K - $465K/yr

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 ...

Cadence

IT Staff Storage Engineer

San Jose, CA · On-site

They are seeking an IT Staff Storage Engineer responsible for ensuring the availability and performance of data storage environments, collaborating with stakeholders to meet storage requirements, and ...

Noblis

Backup and Storage Engineer

San Diego, CA · On-site

$127K - $198K/yr

The Backup & Storage Engineer (Level III and IV) is responsible for designing, implementing, and maintaining enterprise storage and backup solutions to ensure data integrity, availability, and ...

HDR

Storage & Data Protection Engineer 1

Folsom, CA · On-site

The Storage & Data Protection Engineer 1 will support day-to-day administration of storage policies and activities, monitor storage capacity and health, and assist with data protection capabilities ...

HDR

Storage & Data Protection Engineer 2

Folsom, CA · On-site

They are seeking a Storage & Data Protection Engineer 2 to administer storage policies, manage capacity, and support backup and recovery operations across virtual infrastructure and cloud services.

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How much do storage jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for storage in California is $26.86, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $33.22 per hour, depending on experience, location, and employer.

What is the difference between Storage vs Data Analyst?

AspectStorageData Analyst
Required CredentialsIT certifications (e.g., CompTIA Storage+)Data analysis certifications (e.g., CAP, Microsoft Certified Data Analyst)
Work EnvironmentData centers, server rooms, cloud platformsOffice, remote, or client sites with data sets
Industry UsageIT, cloud services, data managementBusiness, finance, marketing, and tech sectors

Storage roles focus on managing and maintaining data storage systems, while Data Analysts interpret data to support business decisions. Both roles require technical skills but differ in daily tasks and industry focus.

What are some typical challenges faced by professionals working in storage management, and how can they overcome them?

Professionals in storage management often encounter challenges such as optimizing storage utilization, ensuring data security, and managing system scalability as organizational needs grow. To overcome these, it is important to stay updated with the latest storage technologies, implement regular monitoring and maintenance routines, and collaborate closely with IT and security teams. Developing strong troubleshooting skills and staying proactive about system upgrades can also help mitigate potential issues before they impact operations.

What are storage jobs?

Storage jobs refer to positions involved in managing, organizing, and maintaining storage facilities or systems. This can include roles in warehouses, data centers, or self-storage businesses, where responsibilities may range from inventory management and record keeping to ensuring the security and accessibility of stored items. Storage professionals play a crucial role in keeping operations efficient and making sure that goods or data are safely stored and retrieved when needed. The specific duties will vary based on the industry and type of storage, from physical goods to digital data.

What are the key skills and qualifications needed to thrive as a Storage Administrator, and why are they important?

To thrive as a Storage Administrator, you need a solid understanding of data storage concepts, backup and recovery procedures, and typically a degree in information technology or related field. Familiarity with storage area networks (SAN), network-attached storage (NAS), cloud storage solutions, and certifications like CompTIA Storage+ or vendor-specific credentials are valuable. Strong problem-solving skills, attention to detail, and effective communication enable you to manage data integrity and collaborate with IT teams. These skills and qualifications are crucial to ensuring reliable data access, minimizing downtime, and supporting organizational operations.
What are the most commonly searched types of Storage jobs in California? The most popular types of Storage jobs in California are:
What are popular job titles related to Storage jobs in California? For Storage jobs in California, the most frequently searched job titles are:
What job categories do people searching Storage jobs in California look for? The top searched job categories for Storage jobs in California are:
What cities in California are hiring for Storage jobs? Cities in California with the most Storage job openings:
Storage jobs near you
Staff Storage Engineer

Staff Storage Engineer

Lambda

San Francisco, CA • On-site

$349K - $465K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Key responsibilities

  • Lead the RFP process and drive evidence-based storage solution selection and vendor evaluations.

  • Develop an in-depth understanding of AI/ML workload profiles to influence future storage architecture and performance tuning.

  • Identify and lead high-impact operational improvements and cross-functional deployment plans.

Job 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 or San Jose office location 4 days per week; Lambda's designated work from home day is currently Tuesday.
Product Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance.
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 strategy, architecture, and organizational influence
  • Strategic Selection: Lead the RFP process and drive evidence-based storage solution selection and vendor evaluations.
  • Workload Optimization: Develop an in-depth understanding of AI/ML workload profiles to influence future storage architecture and performance tuning.
  • Operational Strategy: Identify and lead high-impact operational improvements and cross-functional deployment plans.
  • Customer Discovery: Partner with leadership during deal formation to gather technical requirements and inform solution design.
  • Organizational Leadership: Delegate complex engineering tasks and maintain consistent, proactive communication with the engineering leadership team.

You Have:
  • 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.
    • NVMEoverFabricStorage 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, compression, and encryption
    • Backup and data protection
  • 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 monitoring solutions of storage and storage-adjacent 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 include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
  • We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
  • Our values are publicly available: https://lambda.ai/careers
  • We offer generous cash & equity compensation
  • Health, dental, and vision coverage for you and your dependents
  • Wellness and commuter stipends for select roles
  • 401k Plan with 2% company match (USA employees)
  • Flexible paid time off plan that we all actually use

A Final Note:
You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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