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.

Responsibilities

Own back-end services which handle fleet management, front-end services such as WhatsApp / Instagram / Facebook / Meta Ads, infrastructure components that drive Meta’s advances in AI, core services which are used by every team at Meta, the world’s largest MySQL deployments, networking systems and everything in between
Write and review code, leverage best-in-industry AI tools to land and productionize code, develop documentation and capacity plans, and debug the hardest problems, live, on some of the largest and most complex systems in the world
Architect efficient and scalable systems that drive complex applications
Analyze and optimize code for quality, scalability, efficiency, and performance
Establish ownership of systems with expert end-to-end understanding
Partner alongside the best engineers in the industry working on the coolest stuff around, the code and systems you work on will be in production and used by billions of people all around the world

Minimum Qualifications

Experience coding in an industry-standard language (e.g. Java, Python, C++, PHP)
Experience picking up software, frameworks and APIs
Experience in *nix (Linux, BSDs, or another UNIX-like OS)
Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications

Experience with an RDBMS like MySQL or Postgres
Understanding of TCP/IP networking fundamentals
Experience working and communicating cross functionally in a team environment
Knowledge of internet service architectures (such as load balancing, LAMP, CDN's)
Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
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

$122,000/year to $143,000/year + bonus + equity + benefits

Learn more about this Employer on their Career Site

Production Engineer (University Grad)