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Data Storage, High-Performance Computing (HPC), Enterprise Software, Hardware

Senior / Staff NFS Engineer

United StatesHybridFull TimeStaffPosted 1 month agoVisa sponsorship available

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Required skills

  • NFS
  • distributed file systems
  • object storage
  • Kubernetes
  • Python
  • kernel-level I/O
  • user-space I/O
  • NVMe
  • SSD
  • RDMA

Nice to have

  • AI infrastructure
  • data-intensive workloads
  • automation tooling
  • observability
  • testing automation
  • operations automation

Role summary

DDN is seeking a Senior / Staff NFS Engineer to work on critical infrastructure problems related to scaling and optimizing Network File Systems, building distributed file systems and object storage, and tuning performance across kernel-level and user-space I/O stacks. The role involves working with technologies like NVMe, SSDs, RDMA, and high-speed networking, integrating storage platforms into Kubernetes-native environments, and using Python for automation and debugging. This position is ideal for engineers with a deep understanding of storage systems and a passion for low-level systems work, performance tuning, and solving complex reliability issues in high-performance data platforms.

Why this role is compelling

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.

What you’ll do

  • 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

What we’re looking for

  • 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’ll thrive here if

  • 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

This role is probably not for you if

  • 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

Ready to apply?
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