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Lightning AI

Cloud-based AI development and deployment platform

Senior Infrastructure Operations Engineer

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKIn-person

About the Job

Requirements

  • 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.
  • Comfort working in ambiguous environments and collaborating across engineering, operations, and customer-facing teams.

Responsibilities

  • 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.

Desired Qualifications

  • Experience troubleshooting, provisioning, or operating bare-metal server infrastructure.
  • Experience operating or troubleshooting GPU, high-performance computing, 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.

About the Company

Lightning AI

Cloud-based AI development and deployment platform

Lightning AI builds a cloud-based platform for AI development that covers the full lifecycle from ideation to deployment. It provides a browser-based environment called AI Studio, a virtual laptop with persistent storage and configurable environments, enabling users to code on CPUs, debug on GPUs, and scale to multi-node deployments without local setup. The platform supports tools like PyTorch Lightning, Fabric, Lit-GPT, and torchmetrics to help data scientists and developers prototype, train on GPUs, and optimize models. Pricing is subscription-based, targeting enterprises and individual developers who need robust, scalable AI development capabilities. The goal is to streamline AI creation and deployment by simplifying access to compute, tooling, and scalable infrastructure in one cloud-based workspace.

Company size
201-500
Company stage
Late Stage VC
Total funding
$108.6M
Headquarters
New York City, New York
Founded
2015

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