Remote Senior Storage Engineer - AI Infrastructure

Runpod; Mount Laurel Township (NJ); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Equity participation

Medical, dental & vision plans

Flexible PTO

Remote-friendly / Slack-native culture

Home office stipend

Job summary

Runpod is seeking a Senior Storage Engineer to design, scale, and operate its high-performance storage platform. You’ll own capacity, durability, and performance of network volumes, local NVMe, and S3-compatible object storage, writing production code and automating operations for petabyte-scale workloads.

Join a remote-first, Slack-native team that emphasizes rapid delivery, ownership, and collaboration with SRE, networking, and hardware partners to reduce cold starts and optimize data movement

Qualifications

• 8+ years in infrastructure, storage, or systems engineering with production storage ownership.
• Deep, practical experience with at least one distributed storage system (Ceph, MinIO, Lustre, GPFS/Spectrum Scale, MooseFS, WekaFS, VAST, or similar).
• Strong Linux internals and storage-stack knowledge: block layer, filesystems, NVMe, I/O schedulers, NFS/SMB, iSCSI/NVMe-oF.
• Experience building and operating S3-compatible object storage services.
• Solid networking fundamentals tuned for storage workloads.
• Production-code ability in Go, Python, Rust, or similar (not just scripting).
• Hands-on observability tooling (Prometheus, Grafana, Datadog) with designing metrics.
• Ownership, self-starting, collaborative, low-ego attitude.

Responsibilities

• Own capacity, durability, availability, and performance characteristics of storage tiers.
• Tune the full I/O path: device and filesystem configuration, caching and read-ahead strategies, replication and erasure coding trade-offs, and client-side mount behavior.
• Diagnose hard performance problems end to end.
• Lead capacity expansions, migrations, and rebalances with minimal customer-visible disruption.
• Work with Runpod and partner networking teams to design and tune storage paths for high throughput.
• Understand and optimize RDMA/RoCE and high-speed fabrics for storage traffic.
• Collaborate with network engineering on topology decisions and cross-region data movement.
• Write production code (Go, Python, or similar) for storage control-plane services and data pipelines.
• Build against and extend APIs: control plane, S3 interfaces, CSI, Kubernetes, vendor/cloud APIs.
• Automate operations; treat infrastructure as code and participate in CI.
• Instrument storage fleet with metrics and dashboards; establish SLOs and alerts.
• Participate in on-call rotation and blameless post-incident reviews.

Skills

Distributed storage

Linux internals

Networking fundamentals

Go

Python

Observability

Tools

Ceph

MinIO

Lustre

GPFS/Spectrum Scale

MooseFS

WekaFS

VAST

ZFS-based systems

Job description

Runpod is seeking a Senior Storage Engineer to design, scale, and operate its high-performance storage platform. You’ll own capacity, durability, and performance of network volumes, local NVMe, and S3-compatible object storage, writing production code and automating operations for petabyte-scale workloads.

Join a remote-first, Slack-native team that emphasizes rapid delivery, ownership, and collaboration with SRE, networking, and hardware partners to reduce cold starts and optimize data movement