Senior / Staff NFS Engineer

At DDN, you will work on problems that sit at the heart of modern infrastructure:

Scaling and optimizing Network File Systems

Building and improving distributed file systems and object storage

Tuning performance across kernel-level and user-space I/O stacks

Working with NVMe, SSDs, RDMA, and high-speed networking

Integrating storage platforms into Kubernetes-native environments

Using Python to automate, debug, test, and improve complex systems

Your work will directly influence how high-performance data platforms behave under real-world load, not just in theory.

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

Strong hands-on experience with Network File Systems (NFS)

Deep understanding of distributed file systems

Experience with object storage

Production experience with Kubernetes

Strong Python skills

Experience working on kernel-level and/or user-space I/O stacks

Familiarity with NVMe, SSDs, RDMA, and high-speed networking

A systems mindset: you know how to debug complex performance and reliability issues across layers

You are energized by low-level systems work

You like solving problems most engineers avoid because they are too deep, too subtle, or too performance-sensitive

You care about the details of how storage and networking behave under pressure

You want your work to matter in environments where performance is mission-critical

Your background is primarily general backend, SRE, or platform engineering without deep storage/filesystem ownership

You’ve used storage systems, but haven’t built or debugged them at a systems level

You prefer abstraction layers over getting hands-on with performance, I/O paths, and infrastructure internals

You want a role focused on coordination more than engineering depth