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Lightning AI

Cloud-based AI development and deployment platform

Network Operations Center Analyst

Network Engineering & AdministrationUpdated on Nov 13
Full-time

About the Job

Requirements

  • Hands-on Linux experience, including command-line proficiency and system log analysis.
  • Practical understanding of networking concepts, including TCP/IP, DNS, and routing, and diagnostic tools such as ping, traceroute, netstat, and tcpdump.
  • Ability to independently diagnose technical issues and exercise sound judgment in ambiguous situations.
  • Clear, precise communication skills and strong technical documentation ability.
  • Availability to work overnight and rotating shifts in a 24/7 environment.

Responsibilities

  • Monitor data center systems using telemetry data, dashboards, and alerting tools to detect anomalies and emerging issues.
  • Perform independent technical diagnosis across Linux systems, network connectivity, and hardware health using command-line tools, logs, and diagnostic utilities.
  • Troubleshoot network-layer issues, including connectivity, routing, and interface errors.
  • Triage and escalate incidents to the appropriate hardware, network, or SRE teams with technically accurate summaries, relevant logs, and telemetry findings.
  • Create and maintain detailed tickets documenting diagnostic steps, technical findings, and observed system behavior.
  • Identify recurring alert patterns through telemetry analysis and surface findings to improve monitoring coverage and reliability.

Desired Qualifications

  • Experience with Grafana, Datadog, or Prometheus.
  • Familiarity with HPC or GPU-based infrastructure.
  • Scripting experience in Bash or Python.

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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