Senior / Staff NFS Engineer

Data Direct Networks

• $150K — $180K *
US-AnywhereRemote in California, US
Information Technology
Less than 5 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 5-7 years of hands-on experience with Network File Systems (NFS)
  • Deep understanding of distributed file systems architecture
  • Experience with object storage technologies and methodologies
  • Proven skills in working with Kubernetes in production environments
  • Strong proficiency in Python programming for automation and tooling
  • Experience with kernel-level and user-space I/O stacks
  • Familiarity with advanced technologies like NVMe, SSDs, and RDMA

Responsibilities

  • Design and optimize features for DDN's NFS and storage stack
  • Diagnose and resolve bottlenecks in file systems and storage media
  • Enhance performance and scalability of distributed storage solutions
  • Collaborate with cross-functional engineering teams to address system challenges
  • Develop automation and tools in Python to improve operational efficiency
  • Contribute to the advancement of infrastructure for AI and data-intensive tasks

Benefits

  • Collaborative and innovative work environment
  • Opportunities to work on cutting-edge technology in AI
  • Focus on impactful projects in high-performance computing
  • Access to continuous learning and professional development
  • Flexible work arrangements and supportive team culture
Full Job Description
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
* Ladders Estimates

Similar Jobs

Ad banner background

Get Ready For Your
Next Interview

More Jobs at Data Direct Networks

More Information Technology Jobs

Find similar Senior / Staff NFS Engineer jobs:

NationwideRemote