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Senior Mobile Data Connectivity Engineer

VALCE T@lent Solutions
Guadalajara, Jalisco, Mexico (Remote)
Remote

About this role

About the Role Responsible for analyzing, optimizing, and troubleshooting mobile data connectivity processes (APN settings, IP allocation, GGSN/PGW interactions) to ensure seamless user experience and efficient network operations. This role collaborates with cross-functional teams to implement improvements across 4G/5G networks and drive data-driven decisions. What You'll Do

  • Analyze, optimize, and troubleshoot mobile data connectivity processes, including APN settings, IP allocation, and GGSN/PGW interactions.
  • Identify performance bottlenecks in 4G/5G networks and design improvements to enhance user experience and efficiency.
  • Collaborate with network operations, engineering, and support teams to ensure reliable connectivity for end users.
  • Assist in automation and data analysis using scripting (Python) to inform data-driven decisions. What We're Looking For
  • Education: Bachelor's degree in Computer Science, Telecommunications, Electrical Engineering, or related field.
  • Experience: 6+ years in mobile network operations, RAN, core network support, or as a technical analyst.
  • Knowledge in APN & Process enhancements.
  • Knowledge of IMS (IP Multimedia Subsystem) and VoLTE/VoNR.
  • Certifications in mobile networks or process improvement (e.g., Lean/Six Sigma).
  • Experience with scripting languages (Python) for automation of data analysis.
  • In-depth understanding of 4G and 5G network architectures, specifically focusing on session management and packet data handling.
  • APN Configuration: Configuring and troubleshooting APN parameters (APN Name, Type, MMSC, Proxy, Authentication types) on various mobile OS platforms (Android, iOS).
  • Packet Analysis: Proficiency in using network protocol analyzers (e.g., Wireshark) to analyze packets. Nice to Have
  • Knowledge in IMS (IP Multimedia Subsystem) and VoLTE/VoNR.
  • Certifications in mobile networks or process improvement (e.g., Lean/Six Sigma).
  • Experience with scripting languages (Python) for automation of data analysis.

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