Location
London

Hours
Full Time

Salary
Negotiable

About the Role
Production Engineers (PEs) at Meta are specialized software engineers who develop the underlying infrastructure for all of Meta's products and services, forming the backbone of every major engineering effort that keeps our platforms running smoothly and scaling efficiently. PEs work across Meta’s product and infrastructure teams to ensure our services are reliable, performant, and capable of supporting billions of users. This means writing high-quality code, solving complex problems in live production, and tackling challenges that impact over 2 billion people worldwide. Our PEs are embedded in teams across the spectrum — from products like Instagram, WhatsApp, Oculus, and Videos to critical backend services such as Storage, Cache, and Networking. The team brings together diverse levels of experience and backgrounds. Working alongside some of the best engineers in the industry, you’ll contribute to code and systems that go into production and are used by millions every day. In Production Engineering at Meta, we navigate uncharted waters daily — solving problems at a scale few others face. You will own back-end services like our container fleet management systems, front-end services like Chat and Newsfeed, infrastructure components like our Memcache infrastructure, and everything in between. You will write and review code, develop documentation and capacity plans, and debug the hardest problems, live, on some of the largest and most complex systems in the world. Together with your engineering team, you will share an on-call rotation. Partnered alongside the best engineers in the industry on the coolest projects, the code and systems you work on will be in production and used by millions of users worldwide.

Experience
- Experience learning software, frameworks, and APIs
- Experience in configuration and maintenance of applications such as web servers, load balancers, relational databases, storage systems, and messaging systems
- Experience coding in higher-level languages (e.g. Python, Rust, PHP, C++)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About you
You are a collaborative engineer who thrives in solving complex problems at scale and enjoys working alongside talented teams to build reliable, high-performance systems that impact billions of users globally.

Qualifications
- BS or MS in Computer Science or a related technical discipline, or equivalent work experience