Cloud-Native Network Evolution Engineer

Reply

Lucca

In loco

EUR 60.000 - 90.000

Tempo pieno

3 giorni fa
Candidati tra i primi
Generatore di candidature

Ottieni una risposta da questo datore di lavoro — un curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che stanno cercando.

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Descrizione del lavoro

Reply in Lucca, Tuscany is seeking a Network & Connectivity Evolution Engineer to design and evolve complex enterprise and telco networks, focusing on scalable, reliable architectures and cloud-native integration.

You will lead end-to-end network solution lifecycle, drive automation with Python, and collaborate across cross-functional teams to deliver high-performance networking projects for clients in Italy and beyond.

Competenze

  • Experience designing and evolving enterprise and telecom networks.
  • Proficiency in TCP/IP, LAN/WAN, and routing & switching.
  • Knowledge of BGP, MPLS, VPN, IS-IS, QoS, multicast.
  • Automation experience with Python for infrastructure.
  • Cloud-native approaches and containers in network projects.

Mansioni

  • Design and evolve complex enterprise and telco networks.
  • Lead end-to-end network solution lifecycle: requirements, design, implement, validate, optimize.
  • Advance network automation with Python scripting and workflows.
  • Integrate cloud-native approaches using Docker and Kubernetes.
  • Collaborate with cross-functional teams to deliver high-performance solutions.
  • Analyze, troubleshoot, monitor, and optimize for reliability and performance.

Conoscenze

Network design
Python scripting
Docker
Kubernetes
Git
TCP/IP
LAN/WAN
Routing & Switching
Teamwork
Technical communication

Strumenti

Docker
Kubernetes
Git

Descrizione del lavoro

Reply in Lucca, Tuscany is seeking a Network & Connectivity Evolution Engineer to design and evolve complex enterprise and telco networks, focusing on scalable, reliable architectures and cloud-native integration.

You will lead end-to-end network solution lifecycle, drive automation with Python, and collaborate across cross-functional teams to deliver high-performance networking projects for clients in Italy and beyond.

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