Senior Network Engineer - AI Vendor

Ready to take the next step in your career?

Join a global software company that is transforming how AI and cloud infrastructure teams manage modern networks. The organization delivers cloud-provider-grade automation, abstraction, and multi-tenancy solutions built for the next generation of AI and cloud operators. With cutting-edge automation platforms and validated next-generation solutions, the business is helping design modern data center architectures and build networks from the ground up, shaping the future of cloud and AI networking.

Don’t miss out on this exciting opportunity and apply today!

Responsibilities:

• Lead customers through Proof of Concept (POC) environments and sandbox deployments
• Design and implement Data Centre networking solutions from scratch (servers, switches, routers)
• Support customers building next-generation “neo-cloud” and AI-driven environments
• Work closely with Sales during technical validation stages post-POC handover
• Deliver remote implementation and technical workshops via Zoom and Slack
• Collaborate with hardware and software implementation teams where required
• Provide ongoing post-deployment support as customers transition into live production
• Own 2–3 customer accounts at a time, acting as their primary technical contact

Skills/Must have:

• Strong prior experience with Data Centre networking
• Hands-on experience configuring and designing DC networks from scratch
• Deep expertise in at least 2 major DC vendor: Cisco, Juniper, or Arista etc
• Proven experience working with switches, routers, and server connectivity in enterprise or cloud-scale environments
• Exposure to network automation platforms and modern programmable networking
• Comfortable working directly with customers in a remote-first model

Desirable skills:

• Experience with high-performance networking solutions
• Experience with modern data centre Linux-based network operating systems (Nvidia, Cumulus, Mellanox)

Benefits:

• Opportunity to work on next-generation AI and GPU infrastructure projects
• Exposure to cutting-edge networking solutions
• Ownership of high-impact customer environments
• Remote-first collaboration model
• High autonomy and technical influence
• Work on the future of automated cloud networking rather than legacy tooling

Salary:

• Competitive and negotiable depending on experience