Staff Engineer, Distributed Storage and HPC & AI Infrastructure
- Where you can live
- Bangalore India
- Working hours
- Overlap with UTC+5.5
- Salary
- Not published
- Posted
- September 11, 2026
Summary from the posting
In this role, you will operate, scale, and optimize multi-petabyte storage systems purpose-built for the world’s largest AI training and inference workloads. You’ll manage and scale high-performance parallel filesystems and object stores, evaluate and integrate cutting-edge technologies such as Vast, Weka, Ceph, and Lustre, and solve the complex engineering challenges of operating at extreme throughput, low-latency data paths, and massive cluster-scale storage operations.
You will also build Kubernetes-native storage operators and self-service platforms that provide automated provisioning, strict multi-tenancy, performance isolation, and quota enforcement at cluster scale.
This is a short summary. The full description, requirements and the application form are on Together AI's own career page.