Infrastructure Engineer, Automation & Tooling

Meta is looking for a talented, highly motivated engineer to join the Production Services Automation Team () under the Infra Data Center (Infra Data Center) org  Infra Data Center org is responsible for deploying and supporting one of the world’s largest, most complex, and robust networks. Automation is the key to meeting our demands; you will be responsible for conceiving, developing, and launching tools to support the data center deployment, maintenance, and scaling of data center and edge infrastructure.

As a member of this team, you will have a unique opportunity to be involved in all aspects of global networking rastructure Engineer, Automation & Tooling Responsibilities:

Conceptualize, build, and maintain tools to support network deployment and operation

Proactively find gaps that impact multiple teams/organizations, come up with the execution plan, and drive the project and influence other teams to reach there

Develop automated methods to detect, mitigate and remediate network events

Help make the people around you move faster by identifying issues slowing the team down and driving changes to address them

Lead/mentor other folks - Work with other team members from partner teams, understand their challenges, help them find a solution and enable them to code to address itHelp with recruiting and onboarding of new members to the team. Support them through mentoring and help ensure their effective ramp-up within the team Drive requirements with vendors and third parties to align our internal tooling efforts

Minimum Qualifications:

5+ years of experience building software for network infrastructure

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Experience with programming languages (Python, Perl, or C++)Knowledge of Linux OS/networking

Knowledge with SQL databases

Experience with network devices (routers, switches, load balancers) and knowledge of network routing protocols

Experience with design and implementation of network operation system

Experience debugging issues within custom code Knowledge of technology-agnostic approach to engineering

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications:

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Experience 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)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Knowledge of Django, PHP, Shell 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 Whats App 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.

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