Principal Network Engineer, Core Ethernet Services (Remote)

Page Mechanical Group, Inc.; Northern (KY); Hybrid; USD 120,000 - 210,000; Full time

Job summary

Gigapower LLC is expanding its remote engineering leadership to shape the core network architecture and Ethernet service delivery. This Principal Engineer role oversees design, scalability, and automation across core, aggregation, transport, and access networks, leveraging AI for forecasting and optimization.

The ideal candidate brings 10+ years in telecom engineering, deep Layer 2/3 expertise, and a track record of data-driven network planning and AI-enabled improvements.

Qualifications

• Bachelor's degree in Engineering, Telecommunications, Computer Science, Information Technology, or a related technical discipline.
• 10+ years of experience in telecommunications engineering, core network architecture, Ethernet services, transport engineering, or network planning.
• Deep expertise in Layer 2 and Layer 3 networking technologies and Ethernet service design.
• Experience applying AI, machine learning, and advanced analytics to network planning, engineering, or operations.

Responsibilities

• Define and own the core network architecture supporting Ethernet services across aggregation, transport, and service edge environments.
• Design and standardize Ethernet service delivery models, including port-based services, VLAN-based services, service multiplexing, segmentation, and customer handoff architectures.
• Develop scalable transport architectures utilizing high-capacity optical technologies including DWDM, coherent optics, and ER/ZR solutions.
• Ensure network scalability and service readiness for enterprise, wholesale, mobility backhaul, fronthaul, and midhaul applications.
• Develop and implement AI-enabled capacity forecasting models to predict utilization, growth trends, and infrastructure requirements across core, aggregation, transport, and access networks.
• Utilize network telemetry, utilization data, GIS information, and operational datasets to improve planning accuracy and decision-making.
• Design and automate capacity management workflows to reduce manual planning efforts and improve responsiveness to network growth demands.
• Apply AI, machine learning, and advanced analytics to identify congestion risks, capacity bottlenecks, underutilized assets, and optimization opportunities.
• Serve as the technical authority for Ethernet service feasibility, transport engineering, and service delivery architecture.
• Define standards for interconnection points, transport paths, network resiliency, diversity design, and service handoff requirements.
• Develop and validate optical transport models, link budgets, and network feasibility analyses.
• Align core network architecture with XGS-PON access strategies, including traffic aggregation, OLT placement, and network scaling requirements.
• Partner with fiber planning teams to ensure routing, diversity, resiliency, and transport requirements are integrated into long-term network evolution plans.
• Support commercial engineering activities including bids, RFP responses, transport feasibility evaluations, and cost modeling.
• Collaborate with Data Engineering, IT, GIS, construction, and operations teams to integrate planning models and automation capabilities into enterprise systems.
• Promote adoption of AI-powered tools and automation practices across engineering, planning, and operational teams.
• Provide technical leadership, standards development, and subject matter expertise across multiple functional organizations.

Skills

Core network architecture

Ethernet services design

AI-driven capacity planning

Optical transport engineering

Data analytics & forecasting

Automation & scripting

Education

Bachelor's degree in Engineering/Telecommunications/CS/IT

Advanced degree preferred

Tools

GIS platforms

Vitruvi

ServiceNow

Job description

Gigapower LLC is expanding its remote engineering leadership to shape the core network architecture and Ethernet service delivery. This Principal Engineer role oversees design, scalability, and automation across core, aggregation, transport, and access networks, leveraging AI for forecasting and optimization.

The ideal candidate brings 10+ years in telecom engineering, deep Layer 2/3 expertise, and a track record of data-driven network planning and AI-enabled improvements.