Senior Infrastructure Operations Engineer (EMEA)

原始資料於 2026-11-04T15:07:56.209314+00:00 查閱；內容可能已更新，請查看原始職位。

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.
What You'll Do
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.
What You'll Need
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.
Nice-to-Haves
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.