Infrastructure Engineer (Storage)

NEPSE Trading; New York, San Francisco, Seattle (NY, CA, WA); Hybrid; USD 180,000 - 220,000; Full time

Job summary

Lightning AI in the United States is seeking an experienced Senior Storage Infrastructure Engineer to build and operate storage systems powering large-scale AI/ML workloads. You will work at the intersection of software, hardware, and operations, developing automation and scaling distributed storage across bare-metal infrastructure.

The role supports VAST and S3-compatible storage like Ceph, requires Linux prowess and Python automation, and offers remote or hybrid work in the U.S.

Qualifications

• 5+ years in infrastructure or systems engineering
• Hands-on with distributed storage like VAST or Ceph
• Proficient in Python for automation

Responsibilities

• Operate and scale distributed storage systems including VAST and Ceph
• Improve performance and reliability of storage for AI workloads
• Develop Python tools to automate storage provisioning and monitoring
• Collaborate with Infrastructure, Network, and Platform teams

Skills

Distributed storage systems

Linux systems

Python scripting

Bare-metal hardware

Debugging across boundaries

Storage networking (NFS)

Capacity planning & monitoring

Performance tuning

Tools

VAST

Ceph

Job description

# Infrastructure Engineer (Storage)Lightning AIUnited StatesFull timeRemoteUSD 180,000 – 220,000Apply by Dec 31, 2026## About the roleWho We Are Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems—designed to take ideas from research to production with less friction. Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute.Teams get the tools they need for experimentation, training, and production inference, with security, observability, and control built in. We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.The Way We Work The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice: Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through. Communicate Openly: We communicate directly, seek to understand, and create clarity for others.Honest conversations help us move faster together. Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work. Raise the Bar: We're always improving ourselves.We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most. Think Long-Term: We design for what's next. 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, 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 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 Ideal Experience Experience with VAST storage systems in production environments Experience operating S3-compatible object storage at scale Data center operations experience, including working with physical hardware Familiarity with AI/ML or HPC workloads and their storage### requirementsBackground in high-performance or low-latency distributed systems Familiarity with high-performance data transfer technologies (e.g., RDMA, GPU Direct Storage) Experience supporting GPU-based workloads or large-scale compute clusters Compensation We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive