Mobile Transport Network Planning and Optimization Engineer at Piworks

Job description

Responsible for planning, designing, optimizing, and assuring end-to-end transport networks supporting 2G, 3G, 4G, and 5G services. Key Responsibilities Develop HLD and LLD solutions for microwave, IP/MPLS, optical, and enterprise transport networks. Perform microwave path planning, link-budget calculations, frequency planning, interference analysis, and capacity dimensioning. Audit transport network capacity, configuration, quality, resilience, and performance. Monitor KPIs such as utilization, throughput, latency, jitter, packet loss, availability, and congestion. Troubleshoot performance issues and provide optimization and capacity-expansion recommendations. Design and validate QoS, redundancy, route diversity, and synchronization solutions. Support rollout, modernization, migration, acceptance, and service-readiness activities. Coordinate with RAN, Core, IP, Optical, and Operations teams. Required Qualifications Bachelor’s degree in Telecommunications, Electrical, Electronics, Computer, or related Engineering. Strong knowledge of 2G/3G/4G/5G transport architecture, including fronthaul, midhaul, and backhaul. Experience in microwave and mobile transport planning and optimization. Proficiency with Ellipse, Atoll, Pathloss, or similar planning tools. Good knowledge of TCP/IP, Ethernet, VLAN, MPLS, routing, QoS, and traffic engineering. Hands-on experience with transport NMS/EMS and RAN OSS platforms such as NCE, NSP, ENM, NetAct, or iMaster. Knowledge of microwave, routing, switching, optical transport, SyncE, PTP, and NTP. Experience in GIS, KPI analysis, time-series data, probes, and benchmarking tools. Strong analytical, troubleshooting, communication, and reporting skills. Fluent in written and spoken English. Preferred Knowledge of RAN and Core Networks. Experience in forecasting, anomaly detection, automation, Python, SQL, Power BI, or Grafana. Relevant Cisco, Juniper, Nokia, Huawei, or Ericsson certification.

Requirements

Must-haves

Responsible for planning, designing, optimizing, and assuring end-to-end transport networks supporting 2G, 3G, 4G, and 5G services.
Develop HLD and LLD solutions for microwave, IP/MPLS, optical, and enterprise transport networks.
Perform microwave path planning, link-budget calculations, frequency planning, interference analysis, and capacity dimensioning.
Audit transport network capacity, configuration, quality, resilience, and performance.
Monitor KPIs such as utilization, throughput, latency, jitter, packet loss, availability, and congestion.
Troubleshoot performance issues and provide optimization and capacity-expansion recommendations.
Design and validate QoS, redundancy, route diversity, and synchronization solutions.
Support rollout, modernization, migration, acceptance, and service-readiness activities.
Coordinate with RAN, Core, IP, Optical, and Operations teams.
Bachelor’s degree in Telecommunications, Electrical, Electronics, Computer, or related Engineering.
Strong knowledge of 2G/3G/4G/5G transport architecture, including fronthaul, midhaul, and backhaul.
Experience in microwave and mobile transport planning and optimization.
Proficiency with Ellipse, Atoll, Pathloss, or similar planning tools.
Good knowledge of TCP/IP, Ethernet, VLAN, MPLS, routing, QoS, and traffic engineering.
Hands-on experience with transport NMS/EMS and RAN OSS platforms such as NCE, NSP, ENM, NetAct, or iMaster.
Knowledge of microwave, routing, switching, optical transport, SyncE, PTP, and NTP.
Experience in GIS, KPI analysis, time-series data, probes, and benchmarking tools.
Strong analytical, troubleshooting, communication, and reporting skills.
Fluent in written and spoken English.

Nice-to-haves

Knowledge of RAN and Core Networks.
Experience in forecasting, anomaly detection, automation, Python, SQL, Power BI, or Grafana.
Relevant Cisco, Juniper, Nokia, Huawei, or Ericsson certification.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonsql

Platform: bamboohr
Effort: medium