Senior AI Storage Infrastructure Engineer (Remote)

Bazeta; United States; Remote; USD 180,000 - 220,000; Full time

Job summary

Lightning AI is seeking a Senior Storage Infrastructure Engineer to design, operate, and scale storage systems for AI/ML workloads. You will own data paths, build automation, and ensure high-throughput, low-latency access across bare-metal infrastructure.

The role offers flexible remote work within the United States or hybrid options at NYC, SF, Seattle, or London offices. Strong experience with VAST, Ceph, and Python-driven tooling is required.

Qualifications

• 5+ years of experience in infrastructure engineering, systems engineering, or related roles.
• Hands-on experience operating distributed storage systems (e.g., VAST, Ceph, or similar)
• Strong Linux systems experience in production environments
• Proficiency in Python or similar scripting/programming languages for automation
• Experience with bare-metal infrastructure and hardware-oriented systems
• Ability to debug complex issues across system boundaries (storage, OS, hardware, networking)
• Experience with storage networking protocols (e.g., NFS or similar)
• Experience with capacity planning, monitoring, and performance tuning

Responsibilities

• Operate and scale distributed storage systems, including VAST and S3-compatible object storage (e.g., Ceph)
• Improve performance, reliability, and efficiency of storage systems supporting large-scale AI/ML workloads
• Troubleshoot complex storage and data path issues across hardware and software layers
• Optimize storage performance to support high-throughput, low-latency AI training and inference workloads
• Build and maintain automation for provisioning, managing, and monitoring storage infrastructure
• Develop Python-based tools and workflows to reduce manual operational overhead
• Improve lifecycle management of storage clusters, from deployment through maintenance and scaling
• Manage and operate Linux-based systems in production, including bare-metal environments
• Partner with infrastructure and data center teams on hardware bring-up, upgrades, and issue resolution
• Support capacity planning, utilization tracking, and forecasting for storage systems
• Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability
• Work closely with Infrastructure Engineering, Network Engineering, and Platform teams to integrate storage into the broader platform
• Contribute to design discussions around new infrastructure deployments and scaling strategies
• Help define best practices for operating storage systems in high-performance computing environments

Skills

Python

Linux

Automation

Storage systems

Tools

Ceph

VAST

Job description

Lightning AI is seeking a Senior Storage Infrastructure Engineer to design, operate, and scale storage systems for AI/ML workloads. You will own data paths, build automation, and ensure high-throughput, low-latency access across bare-metal infrastructure.

The role offers flexible remote work within the United States or hybrid options at NYC, SF, Seattle, or London offices. Strong experience with VAST, Ceph, and Python-driven tooling is required.