Description

Meta is looking for a talented, engineer to join the Edge and Network Services team. This team is responsible for processes and systems 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 executing on our vision for integrating detection, triaging and directed repair into our pipeline for networks supporting AI/ML applications. As a member of this team, you will have a unique opportunity to be involved in all aspects of global networking at Meta. This position is full-time and based in the US.

Network Engineer, Foundation Services Automation Responsibilities:

• Automation and integration into existing pipelines, alerting, triage and repair for IP, Ethernet, and non-Ethernet networks
• Improve efficiency through automation and processes improvements
• Collaborate with internal and cross functional partner teams to define and automate optimal workflows for network deployment and repair
• Proactively find gaps that impact multiple teams/orgs, 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
• Work with partner teams, understand their challenges, help them find a solution natively or lead effort working with cross-functional teams to deliver systems/platforms/tooling
• Help with recruiting and onboarding of new members to the team. Help them by mentoring and assuring their quick ramp up within our environment
• Perform detailed troubleshooting and engage with cross-functional teams to fix system/tooling issues
• Drive requirements with cross functional teams to align our internal tooling efforts
• Help make the people around you move faster by identifying issues slowing the team down and driving changes to address them

Minimum Qualifications:

• 10+ years of experience Automation experience in the Networking domain in large scale networks
• Knowledge and Experience with Layer 2 & Layer 3 technologies
• Knowledge and experience with Rest APIs
• Experience leveraging AI-assisted tools (e.g., Claude, Copilot, code generation models) for software development and coding efficiency
• Experience with network devices (routers, switches, load balancers)
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Knowledge and experience in Python
• Knowledge of Linux OS/networking
• Experience working autonomously within a globally distributed team, managing priorities and driving projects to completion

Preferred Qualifications:

• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• 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)
• Experience with developing or operating distributed systems at scale
• MS or Graduate work experience in Computer Science, Computer Engineering, or a related technical discipline
• Knowledge and experience in C, C++, Go or Rust
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience evaluating and adopting technologies based on project requirements rather than platform preference
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

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 Affirmative 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 [email protected].

$162,000/year to $227,000/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.