AI Platform Engineer — Production & Reliability

Lightningai; Greater London; Hybrid; GBP 75,000 - 95,000; Full time

Benefits offered by this job

Health Coverage

Equity

Retirement Savings

Unlimited PTO

Winter Break

Parental Leave

Learning Allowance

Wellness Stipend

Sabbatical

Flexible Schedule

In-Office Meals

Job summary

Lightning AI is hiring AI Platform Support Engineers to join our EMEA Customer Experience team, supporting ML engineers running large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms in production. This role is hybrid out of our London office, with at least 2 in-office days per week and no visa sponsorship available at this time.

We operate two shifts (9AM–7PM CET/CEST) across Saturday–Tuesday and Thursday–Sunday, and you’ll partner closely with

Qualifications

• Strong software engineering and systems troubleshooting background.
• Experience with Kubernetes and containerized environments.
• Linux systems knowledge including networking, storage, and performance tuning.
• Experience with cloud infrastructure and distributed systems.
• Observability and debugging tools such as Prometheus, Grafana, or OpenTelemetry.

Responsibilities

• Partner directly with customer engineering teams running training and inference workloads in production.
• Help customers diagnose and resolve complex distributed systems and ML infrastructure issues.
• Act as a technical advisor during high impact incidents and platform degradation events.
• Translate infrastructure level issues into actionable guidance for ML engineers.
• Build credibility with customers through strong technical reasoning and clear communication.
• Investigate failures involving distributed training, Kubernetes orchestration, GPU allocation, networking, and storage systems.
• Troubleshoot PyTorch, CUDA, NCCL, and inference serving related issues.
• Analyze logs, metrics, traces, and system behavior to isolate root causes.
• Debug containerized workloads running across Kubernetes and bare metal GPU environments.
• Support customers scaling workloads across multi node GPU systems.
• Diagnose performance bottlenecks involving compute, memory, networking, or storage.
• Identify recurring patterns across customer issues and drive long term reliability improvements.
• Contribute to post incident reviews and operational improvements.
• Build internal tooling, automation, documentation, and runbooks.
• Partner closely with infrastructure, networking, and platform engineering teams.
• Help improve observability, operational visibility, and troubleshooting workflows.
• Improve the customer experience through better processes and technical guidance.

Skills

Kubernetes

Linux

Cloud infrastructure

Prometheus

Grafana

OpenTelemetry

Distributed systems

Python scripting

Tools

Ray

Kubeflow

Slurm

InfiniBand

RDMA

PyTorch

CUDA

NCCL

Job description

Lightning AI is hiring AI Platform Support Engineers to join our EMEA Customer Experience team, supporting ML engineers running large-scale training and inference workloads across cloud infrastructure, Kubernetes, and GPU platforms in production. This role is hybrid out of our London office, with at least 2 in-office days per week and no visa sponsorship available at this time.

We operate two shifts (9AM–7PM CET/CEST) across Saturday–Tuesday and Thursday–Sunday, and you’ll partner closely with