EngineeringHybrid

Senior / Staff NFS Engineer

DDN · Hybrid

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Last seen by MeritLog September 12, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from DDN's Ashby job board and last checked it on September 12, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: Hybrid
Salary: Not listed by source
Location: Remote - California

Hiring context

How this role compares at DDN

DDN has 94 live roles in MeritLog’s catalog across 9 job families, and 55 of them are in engineering. 20 of those listings publish a pay range, a disclosure rate of 21%.

DDN concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd 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
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

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

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

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