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Meta

Global Production Systems Engineer

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Job Description

Meta is seeking an experienced Production Systems Engineer to join the Data Center Operations team. Our data centers and the tens of thousands of servers installed within them form the foundation upon which Meta's rapidly scaling infrastructure operates and upon which innovative services are delivered. Meta is at the leading edge of the global data center industry in both design and operations. This role requires a forward-thinking systems professional with deep experience leveraging diverse software tools to identify automation solutions for complex operational challenges. The ideal candidate performs deep data analysis to prioritize server repair automation in a hyperscale environment, drives solutions through code, and collaborates effectively with globally distributed teams through clear written communication.
Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 6+ years of experience in production systems engineering, infrastructure engineering, or systems software development for large-scale hardware environments 6+ years of experience with hardware lifecycle management, fleet automation, or data center operations systems spanning compute, storage, or networking infrastructure Experience developing systems software or automation tooling in Python, Bash, PHP, C, or C++ for Linux-based production environments at scale Experience with configuration and maintenance of production systems including web servers, load balancers, relational databases, storage systems, and messaging systems Experience communicating technical designs and infrastructure decisions through written documentation and cross-functional stakeholder alignment across engineering and operations teams Experience with data analysis and visualization tools used to prioritize fleet health initiatives and drive operational decision-making Experience designing or operating configuration management and infrastructure-as-code systems for large heterogeneous hardware fleets Experience supporting global, multi-site data center infrastructure deployments including hardware qualification and regional rollout coordination Familiarity with distributed systems monitoring, alerting, and automated remediation pipelines at hyperscale