Key Responsibilities:
Identify RAN KPIs for monitoring end-user experience, service performance, network health, capacity, and operational efficiency; develop real-time KPI dashboards and perform root cause analysis.
Provide end-to-end troubleshooting for 5G networks, focusing on cloud-based ORAN interfaces and E2E signaling protocols, using vendor-specific logs and probing systems.
Drive RAN performance and customer experience enhancement plans, collaborating with RF, RAN, and Core engineering teams to propose tuning actions and architectural changes.
Utilize Big Data Analytics with Python, R, and Tableau to leverage AI/ML for operational modeling, anomaly detection, task automation, and zero-touch network performance management.
Act as the POC for KPI requirements for new technology, collaborating with Engineering, Operations, and functional teams.
Skills and Qualifications:
Strong understanding of 5G ORAN standards, virtualization technologies, containerization, cloud-native principles, and SDN for cloud-based 5G Open RAN deployment.
Proficiency in cloud-based orchestration, edge computing, VNFs, CNFs, and open-source cloud-native technologies (Docker, Kubernetes, Helm, Prometheus, Grafana, ELK).
Comprehensive knowledge of RAN network performance management, optimization, and E2E call flows for voice and data calls.
Expertise in data and VoIP network architecture, infrastructure, traffic engineering, and NMS/EMS/OSS/BSS operations.
Strong programming and data analytics skills, with awareness of latest telecom standards (TMF, ETSI, 3GPP) and transport network performance monitoring
Any Graduate