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