InfraOps Engineer - AI GPU Platform

Lightning-Ai; San Francisco (CA); Hybrid; USD 160,000 - 200,000; Full time

Benefits offered by this job

Medical, dental and vision coverage (U

Pension contribution

Generous paid time off

Paid parental leave

Wellness stipend

Flexible work environment

Job summary

Lightning AI is seeking an experienced Infrastructure Operations Engineer to scale and operate our AI infrastructure platform. You will own reliability, automation, and incident response for large-scale GPU environments, partnering with Infrastructure Engineering, Network Operations and Software Platform teams to improve efficiency and robustness.

This role is based in one of our hubs (NYC, SF, Seattle, or London) with at least two in-office days per week.

Qualifications

• 8+ years Linux server/hosting experience, Ubuntu a bonus.
• 5+ years AWS experience.
• 2+ years Kubernetes experience and container fundamentals.
• 2+ years Terraform and Ansible experience.
• 2+ years NAS management (NFS/Ceph)
• Experience with monitoring systems (Prometheus/ELK).
• Familiarity with GitOps workflow.
• Automation programming in Python/Go/Bash for system integration.
• Strong networking fundamentals, including data center networks.
• Experience delivering complex systems and balancing design, risk, cost and outcomes.
• Excellent written and verbal communication.

Responsibilities

• Design, build, and roll out platforms to minimize incidents and enable features.
• Deploy updates to support internal and end-user use cases.
• Collaborate with Infra Eng, Network Ops, Customer Success and Software/Platform teams.
• Participate in on-call rotation with primary/secondary scheduling.

Skills

Linux server administration

AWS

Networking fundamentals

Python/Go scripting

Communication skills

Cloud infrastructure design

Tools

Kubernetes

Terraform

Ansible

Prometheus/ELK

GitOps workflow

NFS/Ceph storage

Job description

Lightning AI is seeking an experienced Infrastructure Operations Engineer to scale and operate our AI infrastructure platform. You will own reliability, automation, and incident response for large-scale GPU environments, partnering with Infrastructure Engineering, Network Operations and Software Platform teams to improve efficiency and robustness.

This role is based in one of our hubs (NYC, SF, Seattle, or London) with at least two in-office days per week.