HPC Storage Architect | Petabyte-Scale Storage for a New AI Cloud

Saragossa; Dallas (TX); On-site; USD 180,000 - 250,000; Full time

Job summary

Saragossa is seeking a Senior Storage Architect to own the design of scalable, globally distributed storage systems for its AI-focused cloud platform. You will research and prototype storage solutions and define ingest, staging, and archiving strategies at petabyte scale, while advising on I/O acceleration and caching.

You will work directly with clients to capture requirements and tailor solutions. The ideal candidate has 10+ years of hands-on storage experience with HPC-grade systems such as

Qualifications

• 10+ years of storage systems experience.
• Hands-on expertise with high-performance storage (VAST, Lustre, Spectrum Scale).
• Experience deploying HPC/large infrastructure storage within clusters.

Responsibilities

• Own the design of scalable, globally distributed storage systems.
• Research and prototype storage solutions for petabyte-scale data.
• Define data ingest, staging, and archiving strategies at scale.
• Collaborate with clients to capture requirements and tailor solutions.

Skills

Storage architecture

High-performance storage

HPC / large-scale systems

Client engagement

System design leadership

Tools

IOR

mdtest

FIO

NVMe over Fabrics

CXL

Job description

Join a fast-growing company building a modern, AI-focused cloud platform from the ground up. They're in the middle of a $4B data center build with two more already planned, and their infrastructure supports large-scale scientific research, simulation, and AI/ML workloads.

This is a senior architecture role, owning the design of highly scalable, globally distributed storage systems for the platform. You'll research and prototype storage solutions, define data ingest, staging, and archiving strategies at petabyte scale, and recommend optimizations like I/O acceleration and caching. The role also includes working directly with clients to capture requirements and design tailored solutions.

The ideal candidate has 10+ years of experience and hands-on expertise with high-performance storage systems such as VAST, Lustre, or Spectrum Scale, including deploying them within an HPC cluster. Experience with benchmarking tools like IOR, mdtest, or FIO is valuable, and exposure to NVMe over Fabrics, CXL, or persistent memory is a plus. Backgrounds from scientific computing, big tech, or large infrastructure companies are all relevant.

The role is onsite in Dallas. Sponsorship is not available. Compensation can be $180,000-250,000 base plus additional bonus.