Amr El Husseini

Network Systems Engineer • Network Automation • Cloud Networking

📍 Germany
🔗 LinkedInGitHub
📄 Download PDF CV

Professional Summary

Network engineer with strong hands-on experience in enterprise and cloud networking, with a focus on automation and operational reliability. I build practical solutions using Python and Ansible, and I enjoy simplifying complex systems through clear design and repeatable workflows.

Core Skills

  • Network Engineering (routing, switching, operations)
  • Network Automation (Python, Ansible, gNMI)
  • Cloud Networking (AWS, Azure, OpenStack)
  • Linux Networking and troubleshooting

Work Experience

  • July 2023 - Current

    Network Systems Engineer

    Hyundai Autoever GmbH

    Improved enterprise network reliability and standardized operations workflows across critical services.

  • March 2023 - June 2023

    Cloud as Systems Engineer

    G42 Cloud

    Supported cloud platform networking operations and accelerated incident resolution through automation.

  • November 2022 - Current

    Cloud Networks and Automation Engineer, Network Domain

    Ericsson

    Delivered network automation initiatives for cloud environments with reusable Python/Ansible workflows.

  • August 2021 - October 2022

    Public Cloud Operations Engineer, Network Domain

    Orange Business Services

    Operated and optimized public cloud network services with focus on stability and response time.

  • June 2019 - July 2021

    IP Core Planning Senior Engineer

    Telecom Egypt (WE)

    Led IP core planning activities and scaling decisions to support traffic growth and service quality.

  • June 2018 - June 2019

    VPN Implementation Engineer Level 3

    Orange Business Services

    Implemented and troubleshot enterprise VPN solutions for multi-site customer environments.

  • October 2016 - June 2018

    Incident Management Specialist ( 1st Line Engineer)

    Orange Business Services

    Handled high-volume incident queues while maintaining SLA targets and escalation quality.

Selected Work

Reading and Continuous Learning