What We're Looking For
Lightning AI is seeking an experienced Senior Infrastructure Operations Engineer to help operate and scale the infrastructure behind one of the world's largest GPU fleets.
Our Infrastructure Operations team sits at the center of production reliability for Lightning's AI infrastructure. The team works across Linux, bare-metal servers, GPUs, networking, storage, provisioning, and cluster orchestration, serving as a critical technical escalation point when complex infrastructure issues arise.
This is not a traditional systems administration or ticket-driven operations role. You'll troubleshoot problems across the infrastructure stack, own issues through resolution, and identify opportunities to automate recurring work. You'll also contribute to longer-term engineering projects that improve reliability, standardize operations, and allow our infrastructure to scale efficiently.
We're looking for an infrastructure generalist who is comfortable going deep when something breaks, but who also step back and ask how we can prevent the same problem from happening again.
This role may be fully remote within the U.S., or hybrid out of one of our U.S. office hubs (NYC, SF, or Seattle) with occasional team and company offsites. We are not able to provide visa sponsorship for this position at this time.
Required Qualifications
- Strong experience operating and troubleshooting Linux-based production infrastructure at scale.
- Experience troubleshooting complex infrastructure issues across compute, networking, storage, and operating systems.
- Strong automation and scripting skills using Python, Go, Bash, Ansible, or similar tools.
- Experience with Kubernetes, Slurm, or other cluster and workload orchestration systems.
- Experience using monitoring, observability, and telemetry systems to diagnose and troubleshoot production infrastructure.
- Strong systems and networking fundamentals, with a track record of owning production issues through resolution.
- Comfortable working in ambiguous environments and collaborating across engineering, operations, and customer-facing teams.