Production Engineer

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.

Responsibilities

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 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 and be an escalation contact for service incidents Partnered alongside the best engineers in the industry on the coolest stuff around, the code and systems you work on will be in production and used by millions of users all around the world

Qualifications

Knowledge in internet service architectures (such as load balancing, LAMP, CDN’s) Experience in configurating and maintaining of applications such as Apache, Memcached, Squid, MySQL, NFS, DHCP, NTP, SSH, DNS, and SNMP Experience learning software, frameworks and APIs Experience learning development languages (PHP, Python, C++, and Java) Engineering, or a related technical discipline or equivalent experience 7+ years of coding experience Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7+ years of experience in UNIX and TCP/IP network fundamentals Experience performing 'guerilla capacity planning' for internet service architectures BS or MS in Computer Science 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