Network Engineer – Automation & AI
Luxoft
Description du poste
About the role
The IT department of Luxoft is looking for a Network Engineer with 2+ years of experience to maintain and evolve the network across its offices, data centres and public clouds. The team covers network services for more than 45 Luxoft locations and public clouds, mainly Azure, with AWS and GCP. A key focus is network automation and the practical use of AI, moving from manual operations to an automated, data-driven model.
Key responsibilities
- Operate and maintain the stability and performance of network infrastructure in the EU (offices, data centres, Azure).
- Design and build automation for routine network operations (configuration generation, compliance checks, provisioning) using Python, Ansible and Terraform.
- Develop and integrate AI automation into the existing solution based on Open Hands.
- Maintain NetBox as the single source of truth: validate data, improve data quality and automate synchronisation with monitoring and the CMDB.
- Keep monitoring up to date, reduce alert noise and propose improvements, including anomaly detection and AIOps approaches.
- Keep Confluence documentation accurate, automating its generation from NetBox and IaC where possible.
Required profile
- 2+ years of hands-on experience with enterprise or ISP networks.
- Solid understanding of TCP/IP, routing and switching; working knowledge of BGP and OSPF.
- Hands-on experience with at least one NGFW platform (Palo Alto Networks, Cisco Secure Firewall, FortiGate or similar): security policies and NAT, site-to-site IPSec and remote access VPN.
- Basic experience with public cloud networking (Azure or AWS): VNet/VPC, subnets, security groups, VPN gateways.
- CCNA or equivalent knowledge.
- English at C1 Advanced level.
Required skills
- Basic scripting and automation with Python or Ansible for routine network tasks.
- Familiarity with Git.
- Active use of AI tools such as ChatGPT, Copilot or Claude for scripting, troubleshooting or documentation, and strong interest in AI-driven automation.
- Experience with monitoring systems such as Zabbix, PRTG or LibreNMS.
- Nice to have: Palo Alto Panorama, HA configuration; Terraform or other IaC tools; NetBox or another CMDB/IPAM; experience building scripts or small tools that use LLM APIs; CCNP or equivalent.
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