P.I. Works is the first company in the world to automate the management of a commercial 5G network.
Our automated network management products and services empower mobile operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across 84 mobile network operators in 58 countries around the world.
Job Description:
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Design and develop end-to-end (E2E) Transport solutions for enterprise customers, including High-Level Design (HLD) and Low-Level Design (LLD).
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Conduct capacity and quality configuration audits for all transport devices within the network (Mobile Network, Routers, Switches).
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Monitor KPIs to ensure optimal network performance, proactively identifying and troubleshooting potential issues.
Required Qualifications:
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BSc degree in Engineering, preferably in a field relevant to Mobile Telecommunications.
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In-depth knowledge of 2G/3G/4G/5G E2E Transport Architecture.
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Expertise in mobile network (MW) planning and optimization, with proven experience using planning tools (e.g., Ellipse).
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Strong proficiency in E2E path quality and capacity KPIs, including detailed formulas.
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Solid understanding of E2E network QoS assurance methodologies.
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Hands-on experience with Huawei NCE and Nokia NSP/NFM-P.
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Hands-on experience with Huawei RAN iMaster OSS.
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Proficient in GIS tools and data visualization techniques.
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Demonstrated ability to analyze operational network environments, identify potential risks/issues, and propose solutions from both technical and operational perspectives.
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Familiarity with customer experience tools, probes, and benchmarking techniques.
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Good understanding of network hardware (routers, switches) and TCP/IP protocols.
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Knowledge of E2E IP transport network time synchronization (Frequency & Phase Sync, PTP, NTP).
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Awareness of regulatory requirements and spectrum allocation processes.
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Familiarity with optical network implementation.
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Understanding of industry standards (ITU, IETF, IEEE, 3GPP, etc.).
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Knowledge of network investment strategies.
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Practical experience with time-series data analysis and anomaly detection (pandas, NumPy, Matplotlib).
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Fluent in Russian and English (both written and spoken).
Nice to have:
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Knowledge of Radio and Core Networks.
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Professional certifications (Cisco, Juniper, Nokia, Huawei) are a plus.
