Staff Engineer, Distributed Storage and HPC & AI Infrastructure

What this role involves

Staff engineer responsible for architecting and scaling multi-petabyte distributed storage systems for AI training and inference. Manages high-performance parallel filesystems and object stores, develops Kubernetes-native storage operators, and optimizes data paths for GPU clusters. Requires deep expertise in distributed storage, Kubernetes, and programming in Go and Python.

Skills this posting asks for

• vast
• weka
• ceph
• lustre
• kubernetes
• go
• python
• terraform
• ansible
• helm
• argocd
• prometheus
• grafana
• thanos
• csi
• s3
• minio
• r2
• rdma
• infiniband
• ext4
• xfs
• lvm
• nvme

Requirements

• 8 years of experience
• Level: staff

From the employer’s posting

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 int…