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# Cloud Production Systems Engineer

- **Company:** The Meta Game, Inc.
- **Location:** Eagle Mountain, UT, United States
- **Experience:** Expert
- **Salary:** $173,000.0 - $245,000.0
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), PHP (Programming Language), Amazon Web Services, Data Analysis, Bash Shell, C++ (Programming Language), Cloud Computing, Virtual Private Servers, Configuration Management, Computer Engineering, Data Centers, Relational Databases, Linux, Distributed Systems, Web Servers, Python (Programming Language), Enterprise Messaging Systems, Software Tools, System Software, Computer Networking Systems, Load Balancing, Cloud Platform System, Information Technology, Operational Systems
- **Published:** October 2, 2026
- **Apply:** https://dejobs.org/x/x/8CEC829C9D4C4A75900A5E19D4F0982D/job/

## About the Role

11. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
 12. 7+ years of experience in production systems engineering, infrastructure engineering, or system software development for large-scale cloud environments
 13. 7+ years of experience with hardware lifecycle management, fleet automation, or cloud data center operations systems spanning compute, storage, or networking infrastructure
 14. Experience developing systems software or automation tooling in Python, Bash, PHP, C, or C++ for Linux-based production environments at scale
 15. Experience with the configuration and maintenance of production systems, including web servers, load balancers, relational databases, storage systems, and messaging systems
 16. Experience communicating technical designs and cloud infrastructure decisions through written documentation and cross-functional stakeholder alignment across engineering and operations teams, 17. Experience designing or operating cloud configuration management and infrastructure-as-code systems for large heterogeneous hardware fleets
 18. Experience with data analysis and visualization tools used to prioritize fleet health initiatives and drive operational decision-making
 19. Experience supporting global, multi-site data center infrastructure deployments, including hardware qualification and regional rollout coordination
 20. Familiarity with distributed systems monitoring, alerting, and automated remediation pipelines at hyperscale

## Description

Meta is seeking an experienced Cloud Production Systems Engineer to join the Data Center Operations team. Our data centers and the cloud infrastructure powering tens of thousands of servers forms the foundation upon which Meta's rapidly scaling services operate. Meta is at the leading edge of the global data center industry in both design and cloud operations. This role requires a forward-thinking systems professional with deep experience leveraging diverse software tools to identify cloud automation solutions for complex operational challenges with our Cloud partnerships (AWS, GCP, CoreWeave, and other NeoCloud). The ideal candidate performs deep data analysis to prioritize server repair automation in a hyperscale cloud environment, drives solutions through code, and collaborates effectively with globally distributed teams through clear written communication., Cloud Production Systems Engineer Responsibilities:

 1. Identify and root cause systemic issues across the cloud server fleet and drive resolutions to maximize uptime and utilization by leveraging hardware failure data and diagnostic telemetry
 2. Write, review, and maintain code for diagnostic and cloud automation tooling that supports quality and efficient delivery of production servers at hyperscale
 3. Own and develop diagnostic tooling requirements that enable frontline operations teams to efficiently manage and repair the cloud server fleet
 4. Drive the escalation process for Data Center Operations to identify, root cause, and resolve complex cloud tooling and hardware issues affecting fleet health
 5. Execute operational validation and verification activities for new cloud product integration into the production environment
 6. Collaborate with cross-functional cloud tooling teams to provide an operations-centric perspective on open issues and contribute to their development roadmaps
 7. Perform deep data analysis to prioritize cloud automation opportunities for server repair workflows in a large-scale, heterogeneous hardware environment
 8. Build cross-functional relationships and influence policies and procedures to improve global cloud data center operations consistency and efficiency
 9. Mentor other engineers on evaluating and resolving cloud fleet issues and defining improvements to tools and operational processes
 10. Travel up to 25% to support global cloud data center operations and new site deployments


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