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P.I. Works Inc

Mobile Transport Network Planning and Optimization Engineer

Posted 3 months ago
Worldwide
5-10 years experience
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AI Summary

Responsible for planning, designing, and optimizing end-to-end transport networks for 2G through 5G services. This includes developing HLD/LLD solutions, performing microwave path planning, and monitoring network KPIs to ensure performance and resilience.

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.

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