Lightning AI
Infrastructure Engineer (Storage)
$180K–$220K
London, England, United Kingdom +9 · Remote · Full-time · Posted May 1, 2026
- Location
- London, England, United Kingdom
New York, New York, United States
Remote
San Francisco, California, United States
Seattle, Washington, United States
London, England, United Kingdom
New York, New York, United States
Remote
San Francisco, California, United States
Seattle, Washington, United States - Experience
- 5+ years.
- Visa sponsorship
- The company is not able to provide visa sponsorship for this position at this time.
About the job
Build, operate, and scale distributed storage infrastructure for large-scale AI/ML training, inference, and HPC workloads.
What you'll do
- Operate and optimize distributed storage systems for performance, reliability, and efficiency.
- Build automation and Python-based tools for provisioning, monitoring, and storage cluster lifecycle management.
- Troubleshoot storage issues across hardware and software, and support capacity planning and production operations.
What they ask for
- 5+ years of experience in infrastructure engineering, systems engineering, or related roles.
- Hands-on experience operating distributed storage systems; strong production Linux experience.
- Proficiency in Python or similar scripting/programming languages; experience with bare-metal infrastructure and hardware-oriented systems.
- Experience debugging across storage, OS, hardware, and networking; storage networking protocols (e.g., NFS); capacity planning, monitoring, and performance tuning.
Nice to have
- Production experience with VAST or large-scale S3-compatible object storage; data center operations experience.
- Familiarity with AI/ML or HPC workloads, high-performance distributed systems, RDMA, GPU Direct Storage, or GPU-based workloads.
Pay
$180,000 — $220,000 USD (annual base salary)
Tools
VAST, Ceph, Python, Linux, NFS, RDMA, GPU Direct Storage
AI focus
Build and operate storage systems supporting large-scale AI/ML training and inference workloads.
Model-written summary · the original posting is authoritative