Cloud Production Systems Engineer

Meta; Rayville (LA); On-site; USD 173,000 - 245,000; Full time

Job summary

Meta is seeking an experienced Cloud Production Systems Engineer to advance our hyperscale data center initiatives. You will lead automation and tooling to diagnose, repair, and maintain a vast cloud server fleet.

The role requires deep data analysis, cross-functional collaboration, and the ability to drive tooling roadmaps. Occasional international travel and a strong focus on reliability are key.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 7+ years of experience in production systems engineering or large-scale cloud environments.
• 7+ years of experience with hardware lifecycle management, fleet automation, or cloud data center ops.
• Experience developing systems software or automation tooling in Python, Bash, PHP, C, or C++ for Linux-based production environments at scale.
• Experience with production systems config and maintenance including web servers, load balancers, relational databases, storage systems, and messaging systems.
• Experience communicating technical designs and cloud infra decisions through documentation and cross-functional alignment.

Responsibilities

• Identify and root cause systemic issues across the cloud server fleet to maximize uptime and utilization.
• Write, review, and maintain code for diagnostic and cloud automation tooling for production servers at hyperscale.
• Own and develop diagnostic tooling requirements for frontline operations teams to manage and repair cloud server fleet.
• Drive escalation for Data Center Operations to resolve complex tooling and hardware issues affecting fleet health.
• Validate and verify new cloud product integrations into the production environment.
• Collaborate with cross-functional cloud tooling teams on roadmaps and operational improvements.
• Perform deep data analysis to prioritize cloud automation opportunities for server repair workflows.
• Mentor engineers on evaluating cloud fleet issues and tool/operational process improvements.

Skills

Python

Bash

PHP

C

C++

Automation tooling

Education

Bachelor's degree

Tools

Linux

Web servers

Load balancers

Job 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:

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

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 7+ years of experience in production systems engineering, infrastructure engineering, or system software development for large-scale cloud environments
• 7+ years of experience with hardware lifecycle management, fleet automation, or cloud 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 the configuration and maintenance of production systems, including web servers, load balancers, relational databases, storage systems, and messaging systems
• Experience communicating technical designs and cloud infrastructure decisions through written documentation and cross-functional stakeholder alignment across engineering and operations teams

Preferred Qualifications:

• Experience designing or operating cloud configuration management and infrastructure-as-code systems for large heterogeneous hardware fleets
• Experience with data analysis and visualization tools used to prioritize fleet health initiatives and drive operational decision-making
• 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

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and affirmatively action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

$173,000/year to $245,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.