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 Hadoop data warehouses, front-end services like Messenger and Newsfeed, infrastructure components like our Memcache infrastructure, and everything in between.
Responsibilities include writing and reviewing code, developing documentation and capacity plans, and debugging 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 and be an escalation contact for service incidents.
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
- 7+ years of coding experience
- 7+ years of experience in UNIX and TCP/IP network fundamentals
- Experience with internet service architectures such as load balancing, LAMP, CDN’s
- Experience configuring and maintaining applications such as Apache, Memcached, Squid, MySQL, NFS, DHCP, NTP, SSH, DNS, and SNMP
- Experience performing 'guerilla capacity planning' for internet service architectures
- Experience learning software, frameworks, APIs, and development languages including PHP, Python, C++, and Java
- 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
Highly skilled engineer with a passion for solving complex problems at scale. You thrive in fast-paced environments and enjoy collaborating with diverse teams. You are proactive in learning new technologies and applying AI responsibly to enhance workflows and system performance.
Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience
- BS or MS in Computer Science preferred
- Engineering or related technical discipline or equivalent experience
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