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# Infrastructure Engineer (Storage)

- **Company:** NEW EPISODE TRAINING CENTER, INC.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Board Bringup, Artificial Intelligence, Amazon S3, Systems Engineering, Data Centers, Data Security, Software Debugging, Linux, Distributed Data Store, Python (Programming Language), Linux System Administration, Machine Learning, Ceph (Software), Scripting, High Performance Computing, Low Latency, Bare Metal, Machine Learning Operations
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_53004085c9c1ce0eee2f17b408a976ac-2375792360

## About the Role

utilization tracking, and forecasting for storage systems Leverage monitoring and telemetry to diagnose issues and improve system performance and reliability Cross-Functional Collaboration 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 What You'll Need 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 working with bare-metal infrastructure and hardware-oriented systems Ability to debug complex issues

## Description

We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.What We're Looking For Lightning AI is seeking an experienced Senior Storage Infrastructure Engineer to join our Infrastructure Engineering team.
In this role, you will focus on building and operating the storage systems that power large-scale AI/ML training, inference, and HPC workloads.
You will work at the intersection of software, hardware, and operations-developing automation, improving reliability, and scaling distributed storage systems across our bare-metal infrastructure.You will help own the data plane of our storage infrastructure, supporting high-throughput, low-latency data access for some of the most demanding AI workloads.
You'll play a key role in managing and evolving our storage stack (including VAST and S3-compatible systems like Ceph), ensuring performance, reliability, and efficiency at scale.
This role may be fully remote within the U.S., or hybrid out of one of our office hubs (NYC, SF, Seattle, or London), with occasional team and company offsites.We are not able to provide visa sponsorship for this position at this time.
What You'll Do Storage Systems & Infrastructure 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 Automation & Tooling 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 Systems & Operations 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