Senior NFS & Distributed Storage Engineer

DDN; United States; Remote; USD 140,000 - 220,000; Full time

Job summary

DDN is seeking a senior storage systems engineer to design, implement, and optimize features across its NFS and storage stack. You will diagnose bottlenecks across file systems, storage media, networking, and I/O paths, and drive performance, scalability, and resiliency in distributed environments.

You will work across kernel-space and user-space components, collaborating with storage, systems, and platform engineers, and develop Python tooling to improve observability, testing, and operations

Qualifications

• 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 with kernel-level and/or user-space I/O stacks.
• Familiarity with NVMe, SSDs, RDMA, and high-speed networking.

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

Distributed FS

Object storage

Kubernetes

Python

Kernel/user-space I/O

NVMe & high-speed networking

Job description

DDN is seeking a senior storage systems engineer to design, implement, and optimize features across its NFS and storage stack. You will diagnose bottlenecks across file systems, storage media, networking, and I/O paths, and drive performance, scalability, and resiliency in distributed environments.

You will work across kernel-space and user-space components, collaborating with storage, systems, and platform engineers, and develop Python tooling to improve observability, testing, and operations