Network Engineer, Operations & Support (Subsea)

Meta is seeking a Network Engineer to join the Subsea Operations team, focused on the deployment and lifecycle management of enterprise network services (ENS) that underpin Meta's global backbone infrastructure. In this role, you will drive the end-to-end deployment of subsea network services across Meta's wide-area network, ensuring the reliability, scalability, and performance of the systems that connect Meta's data centers and edge sites worldwide. You will work at the intersection of network engineering and large-scale infrastructure operations, translating complex network requirements into deployed, production-ready solutions.

Network Engineer, Operations & Support (Subsea) Responsibilities:

Manage optical subsea network performance and operations, including meetings, day-to-day coordination, timelines, logistics, and budget. Run turnkey projects, and receive and review engineering designs to run field deployments

Act as primary liaison to third-party managed service and fiber providers, owning the operations and deployment relationship and driving performance. Run regular vendor meetings, maintain familiarity with the contracts, and track measurable performance against them

Provide technical support to subsea contractor teams for network restoration, performance testing, and engineering services across our global submarine deployments

Develop and maintain operations runbooks, change management procedures, and configuration standards for subsea operations rollouts

Identify gaps in subsea operations workflows and design scalable solutions to improve deployment velocity and operational consistency

Participate in network incident response for subsea-related events, performing root cause analysis and implementing corrective actions to prevent recurrence

Leverage automation and scripting to streamline network provisioning, validation, and testing workflows across subsea infrastructure

Engage cross-functional partners, including network engineering, traffic engineering, and site operations, to align deployment timelines and mitigate risks

Contribute to team-level goals by tracking deployment milestones, communicating progress to stakeholders, and surfacing blockers early

Apply AI-integrated tools and workflows to accelerate network configuration analysis, anomaly detection, and repair cycles

Minimum Qualifications:

8+ years of experience in subsea operations or deployment

6+ years of experience configuring and troubleshooting subsea or optical networks

Experience managing network service deployments across geographically distributed infrastructure, including circuit provisioning, device configuration, and validation testing

Experience developing automation scripts or tooling to support network provisioning and operational workflows (e.g., Python, Ansible, or equivalent)

Experience communicating technical network changes and deployment plans to both engineering and non-engineering stakeholders through written documentation and structured reviews

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

Background in change management processes for high-availability production networks, including staged rollout strategies and rollback planning

Experience with backbone traffic engineering, MPLS, or segment routing in a hyperscale or carrier-grade network environment

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)

Experience contributing to or owning network automation frameworks that reduce manual intervention in large-scale deployment workflows

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

Familiarity with network telemetry, streaming data collection, and observability platforms used to validate backbone service health post-deployment

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.

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.