Senior NFS Engineer: Drive High-Performance Distributed Storage

DDN; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

DDN seeks a systems-focused engineer to design, build, and optimize features across its NFS and storage stack. You will diagnose bottlenecks in file systems, storage media, networking, and I/O paths, and push for higher performance, scalability, and resiliency in distributed environments.

You’ll work across kernel-space and user-space components and collaborate with storage, systems, and platform engineers while developing Python tooling to improve observability, testing, and operations for AI

Qualifications

• Strong hands-on experience with NFS.
• Deep understanding of distributed file systems.
• Experience with object storage.
• Production experience with Kubernetes.
• Strong Python skills.
• Experience working on kernel-space and/or user-space I/O stacks.
• Familiarity with NVMe, SSDs, RDMA, and high-speed networking.
• A systems mindset: debugging complex performance issues across layers.

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 experience

Distributed file systems

Performance debugging

Systems mindset

Kernel/user-space I/O stacks

Tools

Python

Kubernetes

NVMe

RDMA

SSDs

Job description

DDN seeks a systems-focused engineer to design, build, and optimize features across its NFS and storage stack. You will diagnose bottlenecks in file systems, storage media, networking, and I/O paths, and push for higher performance, scalability, and resiliency in distributed environments.

You’ll work across kernel-space and user-space components and collaborate with storage, systems, and platform engineers while developing Python tooling to improve observability, testing, and operations for AI