Production Engineering Lead - AI-Driven Reliability

Meta; City of Westminster; On-site; GBP 110,000 - 150,000; Full time

Job summary

Meta is seeking a Production Engineering Manager in the United Kingdom to lead a team focused on reliability, scalability, and operational excellence of production infrastructure and services.

You will drive strategies, own lifecycle improvements, and partner with software, data science, and product teams to ensure high availability at global scale. This role emphasizes AI-augmented workflows and strong leadership across multi-disciplinary teams.

Qualifications

• 4+ years of experience in production engineering, site reliability engineering, or systems software engineering.
• 2+ years of experience managing production engineering or infrastructure teams.
• Experience driving reliability and scalability improvements for large-scale distributed systems, including incident management, capacity planning, and performance optimization.
• Experience coding and debugging in Python, C++, Go, or Bash and contributing technically alongside a team.

Responsibilities

• Lead a team delivering reliability, scalability, and operational efficiency across multiple production systems.
• Drive roadmaps for infrastructure reliability initiatives, capacity planning, and automation efforts.
• Lead adoption of AI-augmented engineering workflows across the team and share learnings with the org.
• Contribute hands-on to code, system design reviews, and incident response, leveraging AI tooling.

Skills

Production engineering

Site reliability engineering

Team leadership

Python

C++

Go

Bash

Incident management

Observability

Tools

Python

Go

C++

Bash

Job description

Meta is seeking a Production Engineering Manager in the United Kingdom to lead a team focused on reliability, scalability, and operational excellence of production infrastructure and services.

You will drive strategies, own lifecycle improvements, and partner with software, data science, and product teams to ensure high availability at global scale. This role emphasizes AI-augmented workflows and strong leadership across multi-disciplinary teams.