Own Distributed Storage Architecture: Define, evolve, and operate Runpod’s global storage platforms, supporting training, inference, checkpointing, and dataset access at scale.
Build the Storage Engineering Team: Manage and grow a team of storage and systems engineers. Set clear ownership, technical direction, and operational standards across regions.
High-Performance Shared Filesystems: Design and operate large-scale SAN and NFS deployments, including performance-sensitive shared storage for GPU clusters.
Advanced Filesystems & Platforms: Lead deployments and operations of VAST Data and experience with Lustre or similar parallel filesystems used in HPC and AI environments.
End-to-End Performance Ownership: Drive performance optimization from NAND and NVMe media through controllers, networking, and client access patterns.
Next-Generation Storage Technologies: Evaluate and deploy cutting-edge capabilities such as NFS over RDMA, GPU Direct Storage (GDS), and low-latency data paths for accelerated workloads.
Reliability & Scale: Establish best practices for replication, data tiering, data protection, failure recovery, capacity planning, and lifecycle management.
Automation & Observability: Build automation for provisioning, expansion, upgrades, and monitoring. Ensure deep observability into throughput, latency, and error characteristics.
Cross-Functional Collaboration: Partner with Datacenter Networking, GPU Platform, SRE, and Product teams to ensure storage systems meet evolving workload and customer needs.
Vendor & Partner Management: Own technical relationships with storage vendors, hardware partners, and colocation providers; drive roadmap alignment and issue resolution.

Requirements

3+ years managing storage, systems, or infrastructure engineering teams in production environments.
8+ years designing and operating large-scale storage systems, including SAN and NFS architectures at multi-petabyte scale.
Hands-on experience deploying, operating, or deeply integrating VAST Data in production environments is required.
Experience with Lustre or comparable HPC filesystems (e.g., GPFS, BeeGFS) supporting high-concurrency workloads.
Deep understanding of NAND, NVMe, PCIe, storage controllers, and performance characteristics across the stack.
Proven experience with NFS over RDMA, RDMA-capable transports, or similar technologies. Familiarity with GPU Direct Storage strongly preferred.
Strong Linux internals knowledge, including filesystems, I/O scheduling, memory management, and tuning for performance workloads.
Experience running 24/7 storage platforms with strong incident response, change management, and post-mortem discipline.
Ability to clearly communicate complex technical tradeoffs and lead teams through high-stakes infrastructure decisions.
Successful completion of a background check.

Benefits

📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Distributed Storage ArchitectureSANNFSVAST DataLustreNANDNVMeGPU Direct StorageAutomationLinux internals

Soft Skills

team managementcross-functional collaborationcommunicationincident responsechange managementpost-mortem disciplinetechnical directionoperational standardsperformance optimizationproblem-solving