Network Engineer (42497)

We are seeking a Senior Network Engineer for Industrial AI Cloud to build and automate network platform for automation and operation related network components such as Switches, Firewalls, Routers, Border Gateways as part of core environment of the Industrial AI Cloud. In this role you will provision and manage above mentioned stack, implement and fine-tune monitoring, and deploy additional components if necessary. A master’s degree in Information Technology is required, along with hands-on experience in network installation, maintenance, and operations. The ideal candidate will also have experience with firewall and security management, as well as a solid understanding of Linux networking, scripting, and VMware.

🚀 Project
- coordinate Operations together with Data Center, IaaS & PaaS layer
- coordinate and support network lifecycle activities (installs, upgrades, changes, firmware updates) and manage /network interconnections and related documentation
- provision and maintain InfiniBand switches according to ITIL Standards
- develop and maintain automation scripts to orchestrate overall scope. Fine tuning, configuration changes through whole project lifetime
- maintain network-based environments, apply patches, and manage firmware upgrades at scale
- monitoring & Observability 
- follow and improve incident, problem, and change management workflows; document runbooks and standard operating procedures
- work closely with Platform Engineers and AI solution teams to ensure smooth deployments and operations
- manage High-Speed Fabric
- management Network
- develop, test, implement and support ICT components and applications in order to deliver quality standard product portfolio on AI Factory Cloud platform
- build and develop concepts, processes and methods for automation, optimization, and standardization to satisfy efficiency and automation requirements
- provide advice or information at request or at own initiative to all relevant employees or customers regarding technical aspects of products
- provide project deliverables to fulfil the project scope
- consult and implement new innovative technologies to satisfy innovation strategy
- provide overall solutions and principles in planning, developing, and implementing new products to satisfy business requirements
- develop, and implement architecture of services based on AI Factory Cloud platform requirements
- mentor and train co-workers to spread knowledge level and develop their skills
- act as key technical lead and solve and coordinate activities across related technologies/outside own team.
- provide consulting services to project teams on areas of expertise.
- research and development in assigned technology, determine business requirements, propose changes and develop implementation plans                                                                  

🎯 Skills
- master’s degree in Information Technologies
- network installation, maintenance, operations
- NVIDIA/Mellanox switch configuration & UFM management
- data Center routing & BGP/OSPF; ASNs, IP Transit, peering, failover connectivity
- Linux networking (Cumulus/Ubuntu/Debian); configuring bridges, bonds, VLANs, routing tables
- iperf, ethtool, nvidia-smi, perfquery, NVIDIA/Mellanox diagnostics
- monitoring, incident detection & root-cause analysis in large-scale DC networks
- firewall & security management (FortiGate: policies, NAT, VPNs, IDS/IPS, HA); security segmentation, DDoS mitigation, and zero-trust networking
- Switch provisioning, firmware/OS upgrades, patching, config backups
- VMware (VMware Tanzu Kubernetes)
- Scripting (Go/Python/Bash)
- Automation tools (Ansible, SaltStack, Terraform, Helm)
- CI/CD in Kubernetes environments; repository management
- Git-based automation (GitHub/GitLab) & CI/CD tools (GitHub Actions/GitLab CI)
- Linux OS administration
- Software-Defined Networking (SDN)
- monitoring & visualization (Grafana, Prometheus)
- InfiniBand architecture, RoCE, low-latency/high-throughput networking for AI/HPC
- ITIL processes (incident, problem, change)
- industrial AI Factory Cloud platform stack and its dependencies
- NVIDIA GPU-accelerated server platforms
- data engineering, transformation & migration tools
- Kubernetes or similar container-based technologies
- familiarity with NOC/SOC operations and on-call rotation models
- English at C1 level