光网络部署工程师

Lead the technical deployment, architecture, and execution for your team’s projects within Edge Network Services (ENS) on network deployment, ensuring alignment with organizational direction and goals

Provide hands-on technical contributions (design, deployment, migrate, code reviews, troubleshooting, etc.) on large scale complex programs demonstrating domain expertise and technical impact

Contribute to strategic objectives by executing six-month to multi-year roadmaps that support business growth and transformation.

Balance high-level strategic direction with hands-on leadership to deliver results across a broad portfolio of initiatives

Apply established engineering standards for reliability, scalability, and performance to deliverables, driving continuous improvement in engineering processes and technical quality

Collaborate cross-functionally across Network Engineering, Data Center, Network Investments, and Planning teams to ensure successful execution of shared goals on network delivery

Deploy, migrate and support our global production network including edge, backbone, and data center infrastructure

Mentor and onboard new team members, raising the team’s overall technical acumen and building internal community

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

6+ years of Network Engineering, including hands-on responsibility for planning, building, deployment or migrating production network environments

Hands-on experience with enterprise and carrier class routing, switching, and optical transport platforms

Experience with process improvement and systems development, leveraging automation to streamline repetitive workflows

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

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)

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.

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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.

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We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

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

6+ years of Network Engineering experience, including hands-on responsibility for planning, building, deploying, or migrating production network environments.