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Distributed Storage Jobs (NOW HIRING)

CoreWeave

Sr. Engineer, Storage

Bellevue, WA

$143K - $210K/yr

Design and Implement distributed storage solutions to support scaling data intensive AI workloads. * Contribute to the development of exabyte-scale, S3-compatible object storage and integrate ...

CoreWeave

Sr. Engineer, Storage

New York, NY

$143K - $210K/yr

Design and Implement distributed storage solutions to support scaling data intensive AI workloads. * Contribute to the development of exabyte-scale, S3-compatible object storage and integrate ...

CoreWeave

Sr. Engineer, Storage

Sunnyvale, CA

$143K - $210K/yr

Design and Implement distributed storage solutions to support scaling data intensive AI workloads. * Contribute to the development of exabyte-scale, S3-compatible object storage and integrate ...

CoreWeave

Sr. Engineer, Storage

Livingston, NJ · On-site

$143K - $210K/yr

Design and Implement distributed storage solutions to support scaling data intensive AI workloads. * Contribute to the development of exabyte-scale, S3-compatible object storage and integrate ...

Lightning AI

Infrastructure Engineer (Storage)

New York, NY · On-site +1

$117.60K - $154.30K/yr

Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph) * Improve performance, reliability, and efficiency of storage systems supporting large ...

NorthMark Strategies

HPC Storage Architect

Dallas, TX · On-site

Design and document end-to-end storage architectures, including parallel/distributed file systems (e.g., Lustre, GPFS, Ceph, VAST), object storage, and tiered solutions. * Lead proof-of-concept and ...

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How much do distributed storage jobs pay per hour?

As of May 30, 2026, the average hourly pay for distributed storage in the United States is $27.22, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $33.65 per hour, depending on experience, location, and employer.

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

To thrive as a Distributed Storage Engineer, you need a strong background in computer science, data management, and experience with distributed systems, often supported by a relevant degree. Familiarity with storage solutions like Ceph, GlusterFS, or Amazon S3, as well as proficiency in scripting languages and cloud platforms, is typically required. Strong problem-solving, collaboration, and communication skills help engineers address complex issues and work effectively within teams. These competencies are crucial for ensuring reliable, scalable, and efficient data storage solutions in modern IT environments.

What are some common challenges faced by professionals working in distributed storage systems, and how can they be addressed?

Professionals in distributed storage roles often encounter challenges related to data consistency, network latency, and fault tolerance. Ensuring that data remains synchronized across multiple nodes, especially in the event of failures or network partitions, requires a deep understanding of consensus algorithms and replication strategies. Team members typically collaborate closely with software engineers, DevOps, and site reliability engineers to monitor system health and quickly resolve issues. Ongoing learning and staying updated with the latest distributed system technologies can help professionals address these challenges effectively.

What is distributed storage?

Distributed storage is a method of storing data across multiple physical machines or locations, rather than keeping all data in a single server or device. This approach improves data reliability, performance, and scalability, as it allows systems to handle larger workloads and recover from hardware failures more efficiently. Distributed storage is commonly used in cloud computing, big data, and enterprise environments to ensure that data is always accessible and protected against loss.

What is the difference between Distributed Storage vs Network Administrator?

AspectDistributed StorageNetwork Administrator
Primary RoleManage and maintain distributed data storage systems across multiple locationsOversee and support computer networks within an organization
Required SkillsStorage protocols, data management, system architectureNetwork configuration, security, troubleshooting
Work EnvironmentData centers, cloud environments, enterprise storage systemsOffice networks, server rooms, remote sites
CertificationsStorage certifications (e.g., SNIA, CompTIA Storage+)Network certifications (e.g., Cisco CCNA, CompTIA Network+)

Distributed Storage professionals focus on managing data across multiple storage nodes, ensuring data availability and scalability. Network Administrators handle network infrastructure, ensuring connectivity and security. While both roles involve technical expertise, they serve different core functions within IT infrastructure.

More about Distributed Storage jobs
What states have the most Distributed Storage jobs? States with the most job openings for Distributed Storage jobs include:
What job categories do people searching Distributed Storage jobs look for? The top searched job categories for Distributed Storage jobs are:
Distributed Storage jobs near you
Infographic showing various Distributed Storage job openings in the United States as of May 2026, with employment types broken down into 81% Full Time, 17% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $56,614 per year, or $27.2 per hour.

Infrastructure Engineer - Storage Platform

TensorWave

Las Vegas, NV • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

About TensorWave
Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates infrastructure barriers, empowering builders to focus on innovation instead of fighting their stack. Because breakthrough AI should move at the speed of ideas, not infrastructure.
About the Role
We're looking for a Storage Platform Infrastructure Engineer to join our team during an exciting phase of growth. In this role, you'll be responsible for ensuring that storage systems remain stable, performant, and aligned with the demands of Kubernetes, AI/ML, and high-performance compute workloads, working closely with cross-functional partners to support business objectives while upholding our standards for excellence, collaboration, and impact.
What You'll Do
Platform Operations & Ownership
  • Operate and maintain distributed storage platforms, including Ceph (RBD, CephFS, RGW), High-performance NAS platforms (e.g., Weka, VAST Data)
  • Manage storage lifecycle operations - cluster expansion, upgrades and migrations
  • Monitor and maintain storage health, including capacity utilization, data distribution and balance, cluster state and recovery operations

Performance & Reliability
  • Analyze and troubleshoot storage performance across IOPS, throughput, and latency (including tail latency)
  • Identify and remediate bottlenecks across disk subsystems, network paths (including RDMA where applicable), client access patterns
  • Support incident response and root cause analysis for storage-related issues
  • Ensure storage platforms meet performance expectations for GPU and Kubernetes workloads

Kubernetes Storage
  • Operate and support Kubernetes-integrated storage - CSI drivers, StorageClasses, PersistentVolumes / PersistentVolumeClaims
  • Troubleshoot storage-related issues in Kubernetes environments, including stateful workloads, performance inconsistencies, scheduling and provisioning failures

Automation & Tooling
  • Execute and improve automation for storage deployment and operations using Ansible, Terraform, Kubernetes manifests / Helm
  • Contribute to improving monitoring and alerting, operational workflows, runbooks and documentation

Cross-Team Collaboration
  • Partner with DevOps and Platform Engineering (automation and orchestration), Network Engineering (high-throughput and RDMA networking), Compute / Virtualization teams
  • Help ensure end-to-end performance across compute, network, and storage layers

Who You Are
Required Qualifications
  • 4-7+ years of experience in infrastructure, systems, or storage operations
  • Strong hands-on experience operating distributed storage systems in production
  • Experience with Ceph (RBD, CephFS, or RGW)
  • Strong Linux systems knowledge
  • Experience with modern storage platforms such as:
    • Weka, VAST Data, or similar high-performance systems
  • Solid understanding of:
    • Storage performance characteristics (IOPS, throughput, latency)
    • Data replication and failure domains
  • Ability to troubleshoot across:
    • Storage systems
    • Network paths
    • Compute clients

Preferred Qualifications
  • Experience supporting AI/ML or HPC workloads
  • Familiarity with:
    • NVMe-based storage architectures
    • RDMA or high-throughput Ethernet environments
  • Experience integrating storage with Kubernetes
  • Experience operating storage across multiple data centers
  • Exposure to object storage and S3-compatible APIs

What We Offer
  • Stock Options
  • 100% paid Medical, Dental, and Vision insurance for Employees
  • Company Health Savings Account Contributions
  • 100% paid Short Term and Long Term Disability Insurance for Employees
  • Life and Voluntary Supplemental Insurance Options
  • Other Insurance Options, such as Pet & Legal Insurance
  • Various Supplementary Health Benefits, such as discounted Virtual Healthcare Appointments and Serious Illness Support
  • Flexible Spending Account
  • 401(k)
  • Employee Assistance Program
  • Flexible PTO
  • Paid Holidays
  • Parental Leave
  • Other In-Office Perks

Equal Employment Opportunity
TensorWave is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of any protected status under applicable law.
Reasonable Accommodations
TensorWave provides reasonable accommodations in accordance with applicable laws. If you require accommodation during the hiring process, please contact accomodations@tensorwave.com.
Employment Eligibility
All offers of employment are contingent upon verification of identity and authorization to work in the United States, as required by law.
Background Checks
Where permitted by law, employment may be contingent upon the successful completion of a job-related background check.
Data Privacy Notice
By submitting an application, you acknowledge that TensorWave may collect, use, and retain your personal information for recruiting and employment-related purposes in accordance with applicable data privacy laws.

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