The Network Engineering Professional 2 delivers engineering activities across mobile and fixed network domains with growing autonomy, applying modern practices such as automation, observability, and secure configuration to enhance reliability and supportability.
They take ownership of defined engineering tasks, contribute to solution implementation and lifecycle decisions, and support the deployment, operation, and optimisation of network platforms using data?driven engineering methods.
1. Deliver engineering activities across mobile or fixed network domains, taking ownership of system design, build, testing, validation, maintenance, and support tasks in line with operability by design and quality standards.
2. Contribute to deployment and integration of network technologies and hosting environments across physical, virtual, and cloud connected platforms using standardised, automatable patterns.
3. Apply global infrastructure, security, and regulated domain standards across wireless, local, edge, cloud connected, and platform environments, promoting consistency and compliance.
4. Coordinate installation, configuration, and testing of network hardware and software, ensuring readiness, observability coverage, and alignment with operational requirements.
5. Execute engineering tasks to maintain technology currency and improve supportability, contributing to lifecycle improvements and automation of recurring activities.
6. Analyse and interpret network performance, capacity, and health data to contribute insights into lifecycle planning, Network Health Assessments, and roadmap development.
7. Produce clear documentation, runbooks, and knowledge transfer materials to support effective operational handover and strengthen organisational capability.
8. Implement core and cloud?connected security controls, maintaining configuration baselines, access models, secure practices, and compliance with organisational and regulatory requirements.
9. Drive continuous improvement by identifying automation opportunities, simplifying processes, improving data quality, and influencing adoption of better engineering practices within the team.
