Network Engineering Professional
BT Group
Delhi, India1h agovia LinkedIn
About the Role
The Network Engineering Professional 2 supports delivery and capacity planning of activities across complex network environments. The role combines data-driven decision-making, stakeholder engagement, and continuous improvement to ensure scalable, secure, and resilient infrastructure operations.
Key Responsibilities
- Supports the delivery of routine activities and is accountable for system design, build, testing, validation, maintenance, and ongoing support of all network infrastructure components.
- Oversees platform health and performance, coordinating infrastructure capacity and build requirements to meet evolving service demands.
- Develops and maintains forecasting models using complex datasets to support strategic planning and investment decisions.
- Identifies opportunities to optimise network scaling and infrastructure deployment, balancing performance, cost, and commercial impact.
- Applies data science and automation tools to analyse trends, monitor thresholds, and inform platform strategy.
- Manages the lifecycle of network platforms, including roadmap coordination, delivery planning, and in-life service optimisation.
- Leads stakeholder engagement across internal teams and external partners, chairing forums and managing escalations to ensure alignment and delivery.
- Supports the implementation of new technologies and systems, contributing to platform upgrades, service enhancements, and regulatory compliance.
- Responds to customer support requests and operational incidents, ensuring timely resolution and continuous service improvement.
- Maintains compliance with safety, quality, and audit standards, contributing to secure and reliable infrastructure operations.
- Contributes to continuous improvement initiatives, enhancing processes, tools, and methodologies to drive operational efficiency and platform evolution.
Requirements & Tech Stack
- Network infrastructure components
- Platform health and performance
- Forecasting models
- Data science and automation tools
- Stakeholder engagement
- New technologies and systems
- Customer support requests and operational incidents
- Compliance
- Continuous improvement initiatives