Senior Infrastructure Engineer — GPU & Bare-Metal Automation

Lightningai; Greater London; Hybrid; GBP 133,000 - 163,000; Full time

Benefits offered by this job

Health coverage

Equity

401k matching

Unlimited PTO

Winter break

Parental leave

Learning allowance

Wellness stipend

Sabbatical

Hybrid work

Office meals

Job summary

Lightning AI in London hybrid is seeking a Senior Infrastructure Software Engineer to join our Infrastructure Engineering team. You will build production software and automation that support our large-scale GPU and bare-metal infrastructure for AI/ML workloads.

This role requires strong Python and Linux expertise, API design, and automation for provisioning, monitoring, and lifecycle management. You will collaborate across Networking, Data Center Operations, and Platform Engineering to scale and

Qualifications

• 8+ years of professional software/infra engineering experience.
• Strong Python and Linux in production environments.
• Experience building APIs, tooling, or automation for infrastructure at scale.

Responsibilities

• Design, build, and operate production services, APIs, tooling, and automation for managing large-scale bare-metal and GPU infrastructure.
• Develop tooling for provisioning, configuration, monitoring, and lifecycle management.
• Create reliable automation to reduce manual work and improve scalability.
• Build interfaces enabling programmatic interaction with physical infrastructure.

Skills

Python

Linux

APIs & automation

Infrastructure software

Backend systems

Tools

PXE/iPXE

BMC

Redfish

IPMI

Dell hardware

Job description

Lightning AI in London hybrid is seeking a Senior Infrastructure Software Engineer to join our Infrastructure Engineering team. You will build production software and automation that support our large-scale GPU and bare-metal infrastructure for AI/ML workloads.

This role requires strong Python and Linux expertise, API design, and automation for provisioning, monitoring, and lifecycle management. You will collaborate across Networking, Data Center Operations, and Platform Engineering to scale and