Senior Production Engineer: Scale, Reliability & AI Ops

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

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