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# Infrastructure Operations Engineer

- **Company:** Lightning AI
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $175,000.0 - $200,000.0
- **Contract:** Permanent contract
- **Skills:** Build Automation, Intelligent Platform Management Interface, Bash Shell, Configuration Management, Data Centers, Linux, General Parallel File Systems, IBM Hardware Management Console, InfiniBand, Python (Programming Language), Remote Direct Memory Access, Ansible, Weka, Ceph (Software), Graphics Processing Unit (GPU), Computer Networking Systems, Data Center Networking, Kubernetes, Bare Metal, Slurm, Golang
- **Published:** October 8, 2026
- **Apply:** https://startup.jobs/senior-infrastructure-operations-engineer-lightning-ai-7990047

## About the Role

* 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., * Experience troubleshooting, provisioning, or operating bare-metal server infrastructure.
 * Experience operating or troubleshooting GPU, HPC, or other high-performance compute infrastructure.
 * Familiarity with NVIDIA GPUs, DCGM, InfiniBand, RoCE/RDMA, NVLink, or high-speed data center networking.
 * Experience with hardware management and provisioning technologies such as PXE, BMC, IPMI, Redfish, or iDRAC.
 * Experience with distributed or high-performance storage systems such as VAST, Ceph, GPFS, or WEKA.
 * Experience with infrastructure-as-code, configuration management, or GitOps workflows.

## Description

* Operate and troubleshoot large-scale GPU and bare-metal infrastructure across Linux, compute, networking, storage, and cluster orchestration.
 * Serve as a technical escalation point for complex infrastructure issues, driving problems from initial investigation through resolution and root cause analysis.
 * Own operational workflows across the infrastructure lifecycle, including provisioning, configuration, validation, maintenance, remediation, and decommissioning.
 * Build automation and internal tooling that eliminates repetitive operational work and enables the infrastructure fleet to scale efficiently.
 * Identify recurring failure modes and partner with Infrastructure Engineering to build more reliable, repeatable, and automated systems.
 * Improve provisioning, monitoring, diagnostics, and operational processes across a rapidly growing infrastructure footprint.
 * Partner closely with Infrastructure Engineering, Network Engineering, Data Center Operations, Customer Experience, and Platform Engineering to resolve issues that cross team or system boundaries.
 * Participate in a distributed primary/secondary on-call rotation supporting production infrastructure.