Build the storage systems behind the world’s most demanding AI and HPC environments.

If you’re the kind of engineer who cares about performance at scale, low-level systems behavior, and solving the hard problems most software roles never get near, this is the kind of work that separates builders from coders.

At DDN, you won’t be working on another generic backend stack. You’ll be engineering the distributed and parallel file systems that power data-intensive, performance-critical infrastructure used in some of the most advanced computing environments in the world.
- Why this role is different -This is for engineers who want depth, not fluff.

You’ll work on real distributed systems challenges where C/C++ matters, performance matters, reliability matters, and the quality of your engineering shows up in production at scale. If you’ve built, optimized, debugged, or supported distributed file systems and parallel storage environments, you’ll immediately understand why this role is exciting.
- What you’ll do
- Design, develop, optimize,



and troubleshoot distributed file system components
- Work on parallel file system performance, scalability, resilience, and integration
- Solve low-level systems and storage engineering challenges in C/C++
- Contribute to critical infrastructure used in HPC, AI, and large-scale data environments
- Collaborate with strong engineers who care about technical rigor and elegant systems design

What you’ll bring
- 5 to 20 years of experience in systems, storage, or infrastructure software engineering
- Strong programming experience in C/C++:
- Hands-on experience with distributed file systems:
- Robust exposure to parallel file systems, such as:
- Lustre
- GPFS / IBM Spectrum Scale
- BeeGFS
- CephFS
- Nice to have: experience with NFS and SMB protocols

Who will love this role

You’ll thrive here if you are energized by complex systems, care deeply about how things work under the hood, and want your engineering to have visible technical impa

📌 Distributed File Systems Engineer (Pune)
🏢 Data Direct Networks
📍 Pune