# Staff Engineer, Distributed Storage and HPC & AI Infrastructure at Together

- Company: Together
- Status: Open
- Workplace: On-site
- Location: Bangalore India
- Level: Staff
- Discipline: DevOps & SRE
- Employment: Full-time
- Posted: 2026-09-11
- Skills: Vast, Weka, Ceph, Lustre
- Apply: https://job-boards.greenhouse.io/togetherai/jobs/5226095007

## Description

About the Role 
 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. Day-to-day, you’ll optimize end-to-end data paths for 10-50 GB/s per node, design multi-tier caching architectures, implement intelligent prefetching and model-weight distribution, and tune parallel filesystems for AI workloads. 
 Responsibilities 
• Architect and implement the technical strategy and storage roadmap for Together AI, driving high-performance architectural decisions as we scale our GPU fleet.
• Engineer and scale multi-petabyte AI/ML storage systems by integrating Vast, Weka, and Ceph while executing deep cost optimization through automated tiering and lifecycle policies.
• Develop intelligent caching and tiered storage architectures to achieve extreme IOPS and cluster-wide throughput at GPU scale for training and inference workloads.
• Tune storage isolation at the L2/L3 network layers to ensure secure, production-grade multi-tenancy for storage clients.
• Code Kubernete

More Together roles: https://deviantjobs.com/companies/together