Senior Storage Engineer — AI Infra, High-Perf Storage + Equity

Cotidal Limited; Palo Alto (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Unlimited PTO

Relocation support

Job summary

Cotidal Limited is hiring a Senior Storage Engineer to design, deploy, operate and troubleshoot AI infrastructure storage. You will focus on performance, availability and data protection for large-scale GPU clusters, with immediate work on VAST Data and parallel file systems.

You will collaborate with AI infrastructure, compute, networking and platform teams to resolve bottlenecks, perform upgrades and implement monitoring and automation for the storage stack.

Qualifications

• 10–15 years of professional storage engineering and infrastructure experience.
• Strong production experience with enterprise and distributed storage platforms, with hands-on expertise in VAST Data, WEKA or comparable storage.
• Familiarity with Dell PowerScale/Isilon, NetApp ONTAP, Pure Storage or IBM Storage Scale (GPFS).
• Experience with GPU cluster workloads, parallel I/O, dataset ingestion, checkpointing, performance tuning and bottleneck analysis.
• Knowledge of NFS, SMB, NVMe/TCP, NVMe/RDMA, S3-compatible object storage, RDMA/RoCEv2, TCP/IP and 100G/200G/400G Ethernet.
• Linux administration and experience with Python, Bash, Ansible or Terraform.
• Experience with telemetry, Prometheus/Grafana, incident response, change management and capacity planning.

Responsibilities

• Design, deploy, operate and maintain large-scale storage for AI/HPC and GPU clusters.
• Support parallel file systems, scale-out NAS and distributed storage architectures.
• Manage and troubleshoot VAST Data, WEKA and other distributed storage platforms.
• Optimize throughput, latency, IOPS, checkpointing and data ingestion for AI workloads.
• Configure and troubleshoot NFS, SMB, NVMe-oF and S3-compatible storage access.
• Manage capacity, replication, snapshots, data protection and disaster recovery.

Skills

Storage engineering

VAST Data

WEKA

NFS

SMB

NVMe/OF

S3-compatible

Python

Bash

Ansible

Terraform

Prometheus

Grafana

Capacity planning

Tools

VAST Data

WEKA

Dell PowerScale/Isilon

NetApp ONTAP

Pure Storage

IBM Storage Scale (GPFS)

Lustre

BeeGFS

GPFS

NVIDIA DGX

Job description

Cotidal Limited is hiring a Senior Storage Engineer to design, deploy, operate and troubleshoot AI infrastructure storage. You will focus on performance, availability and data protection for large-scale GPU clusters, with immediate work on VAST Data and parallel file systems.

You will collaborate with AI infrastructure, compute, networking and platform teams to resolve bottlenecks, perform upgrades and implement monitoring and automation for the storage stack.