Storage Engineer

Our mission at TensorWave Cloud is to build seamless, secure, reliable, and resilient AI infrastructure at scale, eliminating barriers and challenging the status quo to empower builders and support AI innovation.

About the role

We are looking for a Storage Engineer with deep expertise in NFS-based storage and modern high-performance file systems, specifically VAST Data and WEKA. This role exists to ensure our shared storage platforms are fast, reliable, scalable, and boring — even under extreme load.

You will own the design, operation, and performance of our file storage layer, supporting workloads that depend on low latency, high throughput, and predictable behavior. This is a hands-on role for someone who understands storage at the protocol and system level, not just from a dashboard.

If you think in terms of NFS semantics, metadata performance, failure domains, and throughput per node, this role is for you.

Responsibilities

• Design, deploy, and operate NFS-based storage systems for production workloads

• Own and operate VAST Data and WEKA clusters in production environments

• Architect storage for high-throughput, low-latency shared file access

• Tune and optimize NFS performance (mount options, client behavior, server-side tuning)

• Manage capacity planning, scaling, and rebalancing for VAST and WEKA systems

• Diagnose and resolve storage performance issues (latency spikes, metadata bottlenecks, throughput drops)

• Design and test failure and recovery scenarios (node failures, network issues, disk loss)

• Lead upgrades, expansions, and maintenance with minimal or zero downtime

• Partner with infrastructure and application teams to ensure workloads are well-matched to storage behavior

• Document operational runbooks and establish best practices for shared file storage

You Are Obsessed With:

• NFS that behaves predictably under load

• Consistent latency and throughput at scale

• Understanding exactly how storage fails — before it does

• File systems that scale without becoming fragile

• Making shared storage invisible to users because it just works

Required Experience

• Strong hands-on experience with NFS in production environments

• Direct experience operating VAST Data and/or WEKA systems

• Deep understanding of distributed file systems and shared storage architectures

• Strong knowledge of storage performance fundamentals (latency, throughput, metadata operations)

• Experience troubleshooting complex storage and networking interactions

• Solid Linux systems knowledge, especially around filesystem and I/O behavior

• Ability to reason about failure domains, recovery paths, and data integrity

Preferred Experience

• Experience supporting AI/ML, HPC, or data-intensive workloads

• Familiarity with RDMA, high-speed networking, or NVMe-based storage

• Kubernetes workloads backed by shared file system

• Experience with multi-rack or multi-site storage deployments

• Infrastructure-as-Code experience or automation experience

What We Bring

• Mission driven company

• Competitive Salary

• Stock Options

• 100% paid Medical, Dental, and Vision insurance

• Life and Voluntary Supplemental Insurance

• Short Term Disability Insurance

• Flexible Spending Account

• 401(k)

• Flexible PTO

• Paid Holidays

• Parental Leave

• Mental Health Benefits through Spring Health

We’re looking for resilient, adaptable people to join our team, people who believe in the mission and think at massive scale. The solutions that worked on a handful of devices will not work at Exascale. Be prepared to be pushed daily, to learn a lot, and literally build the future.

TensorWave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, national origin, or veteran status.