Production Engineer

Hardware FYI; Bellevue (WA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Meta is seeking Production Engineers who will own back-end services across fleet management, and core infrastructure powering WhatsApp, Instagram, and Ads. You will write and review production-grade code, develop capacity plans, and help productionize AI-powered features.

You will join a team with on-call responsibilities and tackle incidents live, impacting billions of users worldwide. The role emphasizes solving complex live-production problems, improving reliability, and collaborating across

Qualifications

• 7+ years of experience in Unix/Linux and networking fundamentals.
• 7+ years coding in Java, Python, C++, PHP/Hack, Rust, or Go.
• Experience with internet service architectures and capacity planning.
• Experience configuring infrastructure-level applications such as Kubernetes, Terraform, MySQL, etc.
• Bachelor’s degree in Computer Science, Computer Engineering, or related field (BS/MS).
• Demonstrated AI skill development and responsible AI practices.

Responsibilities

• Own back-end services for fleet management, and front-end services across Meta products.
• Write and review code, land productionized code, and develop capacity plans.
• Participate in on-call rotation and be an escalation contact for incidents.
• Analyze and optimize code for quality, scalability, and performance.
• Lead and mentor teammates, driving impact across systems used by billions.

Skills

Unix/Linux

Java

Python

C++

Go

Kubernetes

Terraform

MySQL

APIs

Web technologies

Education

BS or MS in Computer Science or related field

Tools

Git

CI/CD

Job description

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 betweenWrite 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 worldTogether with your engineering team, you will share an on-call rotation and be an escalation contact for service incidentsPartner 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 worldAnalyze and optimize code for quality, scalability, efficiency, and performanceEstablish ownership of systems with expert end-to-end understandingLead your engineering team by example, mentor and help others around you grow, be a force multiplier of impact

Minimum Qualifications

7+ years of experience in *nix (Linux or another UNIX-like OS) and Network fundamentals7+ years of coding experience in an industry-standard language (e.g. Java, Python, C++, PHP/Hack, Rust, Go)Experience learning software, frameworks and APIsExperience with Internet service architecture capacity planning and/or handling needs for urgent capacity augmentationKnowledge 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, etcBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience BS or MS in Computer ScienceDemonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologiesExperience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)