Production Engineering

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. They form the backbone of every major engineering effort that keeps Meta's platforms running smoothly and scaling efficiently. PEs work across Meta’s product and infrastructure teams to ensure services are reliable, performant, and capable of supporting billions of users. This involves writing high-quality code, solving complex problems in live production, and tackling challenges that impact over 2 billion people worldwide. PEs are embedded in teams across various product areas, from Instagram, WhatsApp, and Videos to critical backend services such as Storage, Cache, and Networking.

Key Responsibilities

• Own back-end services which handle fleet management, front-end services (e.g., WhatsApp, Instagram, Facebook, Meta Ads), infrastructure components that drive Meta’s advances in AI, core services 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 complex problems live on large and intricate systems.
• Share an on-call rotation and act as an escalation contact for service incidents with your engineering team.
• Partner with engineers working on systems that are in production and used by billions of people globally.
• Analyze and optimize code for quality, scalability, efficiency, and performance.
• Establish ownership of systems with expert end-to-end understanding.

Requirements & Tech Stack

• 2+ years of experience in nix (Linux or another UNIX-like OS) and Network fundamentals.
• 2+ years of coding experience in an industry-standard language (e.g., Java, Python, C++, PHP/Hack, Rust, Go).
• Experience learning software, frameworks, and APIs.
• Experience with Internet service architecture capacity planning and/or handling needs for urgent capacity augmentation.
• Knowledge of common web technologies and/or Internet service architectures (such as LAMP or MEAN stacks, CDN, Load Balancing techniques, etc.).
• Experience configuring and running infrastructure-level applications, such as Kubernetes, Terraform, MySQL, etc.

Qualifications

• Currently has, or is in the process of obtaining, a Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• Preferred: BS or MS in Computer Science.
• Preferred: Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
• Preferred: Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies.
• Preferred: Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).