Senior NFS & Distributed Storage Systems Engineer

DDN; Sacramento (CA); On-site; USD 180,000 - 230,000; Full time

Job summary

DDN is seeking a senior storage systems engineer in California to design, implement, and optimize high-performance NFS and storage features. You will diagnose complex bottlenecks across kernel-space and user-space I/O paths, and collaborate with teams across storage, systems, and platform layers.

The role emphasizes hands-on development and observable improvements under real workloads. You will leverage Python to automate testing, debugging, and operations, shaping infrastructure for AI and

Qualifications

• Experience operating NFS in production environments.
• Proven experience with distributed file systems and object storage.
• Strong understanding of performance debugging across storage, network, and I/O paths.

Responsibilities

• Design, build, and optimize features across DDN’s NFS and storage stack.
• Diagnose bottlenecks across file systems, storage media, networking, and I/O paths.
• Improve performance, scalability, and resiliency in distributed storage environments.
• Work across kernel-space and user-space components to solve hard systems problems.
• Collaborate with engineers across storage, systems, and platform layers.
• Develop tooling and automation in Python to improve observability, testing, and operations.
• Help shape the next generation of infrastructure for AI and data-intensive workloads.

Skills

NFS expertise

Distributed file systems

Object storage

Python scripting

Kernel-space I/O stacks

User-space I/O stacks

NVMe/SSD

RDMA

Performance debugging

Tools

Kubernetes

Job description

DDN is seeking a senior storage systems engineer in California to design, implement, and optimize high-performance NFS and storage features. You will diagnose complex bottlenecks across kernel-space and user-space I/O paths, and collaborate with teams across storage, systems, and platform layers.

The role emphasizes hands-on development and observable improvements under real workloads. You will leverage Python to automate testing, debugging, and operations, shaping infrastructure for AI and