About the role
AI summarisedMeta is seeking a Subsea Network Operations Engineer to support one of the world's largest and most complex networks. The role involves designing, deploying, and maintaining subsea networks, requiring deep expertise in subsea operations, wet plant failure mechanisms, and optical transport networks.
BusinessFull-timeGeneral
Key Responsibilities
- Operational support of one of the world's largest and most complex networks
- Design, deploy, and maintain a subsea network
- Involved in all aspects of networking at Meta
Requirements
- 10+ years industry experience in Subsea Operations, Deployments, Technology or related fields
- Experience identifying key metrics/measures that will be used to evaluate success and validate the business impact of the program
- Experience with all possible wet plant failure mechanisms and how to diagnose and accurately locate faults whether electrical or optical
- Experience managing and operating wet plant including BU's, WSS ROADMs and Repeaters
- Familiarity with DCN operations, management, network security and architectures
- Hands-on experience with CLS tools and test equipment, in managing landing party use and setup of equipment during repairs
- CLS management experience including facilities maintenance and security
- Prior experience managing PFE and troubleshooting complex subsea power and grounding issues
- Experience in Subsea O&M including (but not limited to), contracting, marine repair and maintenance (including depot testing and sparing), marine repair dispatch and spares loading
- Technical experience in telecommunication networks in the subsea optical transport networks including DWDM, network infrastructures, IP Networking equipment, optical testing, optical measurement principles, experience with photonic layer
- Experience understanding architecture for system dependencies and translate these into deployable solutions
- BS or MS in Computer Science, Computer Engineering, or a related technical discipline, or equivalent experience
- Knowledge of data driven analysis
- Experience in providing technical guidance to external vendors
- 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