[Remote] Production Engineering

Note: The job is a remote job and is open to candidates in USA. Meta builds technologies that help people connect, find communities, and grow businesses. The Production Engineer role involves developing the infrastructure for Meta's products and services, ensuring reliability and performance while solving complex problems in live production environments.

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, 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
• 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

Skills

• Knowledge of common web technologies and/or Internet service architectures (such as LAMP or MEAN stacks, CDN, Load Balancing techniques, etc.)
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 6+ years of experience in ix (Linux or another UNIX-like OS) and Network fundamentals
• 6+ 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 configuring and running infrastructure level applications, such as Kubernetes, Terraform, MySQL, etc
• Experience with Internet service architecture capacity planning and/or handling needs for urgent capacity augmentation
• 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

Benefits

• Bonus
• Equity
• Benefits

Company Overview

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