Network IT Support
Kandouai
Val-de-Travers, Switzerland
15 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Val-de-Travers, Switzerland
Tech stack
Adobe InDesign
Cloud Computing
Data Centers
Software Debugging
Linux
Document Management Systems
Networking Hardware
Virtual Private Networks (VPN)
Network Architecture
Network Monitoring
Information Technology
Fortinet
Job description
- Help in design, setting up, operating and maintaining datacenter and office networks
- Improve reliability and optimize performance of network infrastructure: datacenters, office networks, lab networks, site-to-site VPN
- Debugging help in user support cases, prioritizing production impacting cases
- Maintain documentation
Requirements
Do you have experience in Network infrastructure?, Do you have a Bachelor's degree?, * At least 3 years relevant experience in enterprise and datacenter networking/coupling
- Confirmed experience in design, setup and operation of corporate IT network infrastructure
- Experience in networking of cloud or virtualization infrastructures is a plus
- Experience in Fortinet Gateways is advantageous
- Sound knowledge of major network equipment vendors' switching and routing solutions
- Knowledge of and practical experience with physical connectivity aspects (fibers, transceivers)
- Knowledge of VPN technologies and Linux networking
- Network monitoring and debugging skills
- Good interpersonal skills and willingness to help and support others
- CH/EU National or holder of a valid Swiss work permit
Education
- Bachelor´s degree in Computer Science or equivalent experiences in Information Technology
About the company
At Kandou, we are redefining the economics of AI infrastructure. Our mission is to democratise AI by significantly reducing the Total Cost of Ownership (TCO) of hardware systems - a critical barrier to scalable adoption.
Our proprietary MIMO-over-copper technology powers a high-performance, chiplet-based AI memory fabric that is both scalable and energy-efficient. Unlike traditional interconnects, our solution reduces power consumption significantly while preserving high bandwidth and ultra-low latency - unlocking unprecedented efficiency for AI training and inference at scale.
Kandou's architecture is not just an incremental improvement - it's a foundational shift in how AI hardware is built for the future.