An R&D Customer Support and NPI expert in EPC and 5G Core, skilled at resolving complex customer issues through deep technical analysis and cross-functional collaboration. Plays a key role in NPI programs, guiding customers from concept to deployment in cloud-native environments. Trusted to lead escalations, improve product quality, and leverage AI for efficient, scalable Packet Core solutions.

You have:

• Bachelor’s degree in engineering or an equivalent qualification with 12+ years of experience in Software Development, Software Testing, or Customer Support is essential.
• In-depth knowledge of Evolved Packet Core (EPC) and 5G Core (5GC) products.
• Demonstrated understanding of Cloud-Native Network Functions (CNF) and Virtualized Network Functions (VNF) principles.
• Familiar with virtualization and cloud platforms such as Containers, Kubernetes, Open Stack, VMware, Google Anthos, and AWS.

It would be nice if you also had:

• Excellent verbal and written communication skills in English are mandatory

• Familiarity with Artificial Intelligence (AI) tools.

• Conducting in-depth troubleshooting, technical analysis, and root cause analysis of customer issues. Effectively managing escalations providing comprehensive executive updates detailing the progress and resolution of critical customer cases.

• Participating in product deployments and developing comprehensive, detailed step-by-step method of procedures.

• Operating network and protocol simulators within a lab environment to replicate faulty scenarios, validate solutions, or develop effective workarounds.

• Collaborating actively with R&D engineering and product line management to address customer-reported issues. Leading technical discussions across groups, explain and provide analysis and best-solution options and contribute to decision-making, as a way forward on reported problems.

• Lead initiatives for continuous improvement, focusing on optimizing serviceability, enhancing tool effectiveness, and strengthening knowledge transfer within the team. Lead technical discussions with peers to promote the implementation of enhancements/improvements of Products SW Quality

• Proactively leveraging Artificial Intelligence (AI) to enhance daily operational efficiency and effectiveness.