Senior Network Engineer

Responsibilities

• Operations & Maintenance: Perform configuration, upgrades, and deep troubleshooting of Juniper and NVIDIA/Cumulus devices in production environments.
• Software-Defined Networking (SDN): Implement programmable network designs using controller-based platforms to support automation and scalability.
• Kubernetes Networking: Support networking within container platforms using CNIs such as Calico, Cilium, or Kube-OVN. Understand microservices traffic patterns and service mesh integrations.
• Automation & Scripting: Develop and maintain Ansible playbooks and Python automation for configuration management, provisioning, and compliance, including working against API interfaces of network equipment.
• Monitoring & Telemetry: Implement observability tools using SNMP, sFlow, and gRPC to detect and address network bottlenecks at scale.
• Incident Management: Lead L3/L4 network incident response, escalation management and root cause analysis in high-pressure, 24×7 production environments.
• Stakeholder & Customer Engagement: Act as a trusted technical expert, engaging directly with internal stakeholders and enterprise customers. Present solutions and troubleshoot effectively across all levels of the organisation.
• Engineering Excellence: Promote and uphold best practices in configuration management, change control, documentation, and continuous improvement.

Requirements

• HPC/AI Networking: 3-5 years' experience supporting high-throughput, low-latency infrastructure for GPU-based or HPC clusters.
• 8-12+ years in networking, often with at least 5 years in globally distributed environments
• Experience with multi-region or multi-continent backbone networks, transit/peering, and high-availability design at Internet scale
• Hands-on with large-scale routing (BGP/MPLS), automation at scale, and often SDN or custom orchestration frameworks
• Routing & Switching: Strong understanding of BGP, EVPN, VXLAN, and Data Centre Interconnects (DCI).
• Hardware Platforms:
• Cloud-Native Networking: Proficiency with Kubernetes networking and container-based infrastructure, including CNIs (e.g. Calico, Cilium).
• Linux Proficiency: Confident with CLI environments, scripting, and diagnostics.
• Automation & Tooling: Experience with Ansible and Python. Familiarity with Terraform or similar infrastructure-as-code tools is a plus.
• Customer-Facing Skills: Comfortable explaining complex networking concepts to customers and internal stakeholders, from engineers to executives.
• Operational Support: Hands-on experience in L3/L4 support within production environments, driving root cause and preventative measures.
• Engineering Discipline: Strong proponent of code quality, peer reviews, change control, and infrastructure versioning.
• Mellanox Ethernet switches with Cumulus Linux
• Juniper PTX core routers and SRX firewalls
• Industry certifications such as JNCIE, CCIE, or equivalent.
• Familiarity with network security frameworks and best practices.
• Experience with hybrid cloud and cloud connectivity solutions (e.g. AWS/Azure Direct Connect).
• Exposure to observability platforms and time-series databases (e.g. Grafana, Prometheus, InfluxDB).
• Qualities we look for:
• Set the standard : Every single day, you spot opportunities to constructively shake thi

Benefits

Additional Information

Company Overview: Radiant is redefining how AI infrastructure is built. We design and operate AI-native cloud platforms engineered for sovereignty, performance, and scale. Our infrastructure powers GPU-native workloads, multi-tenant control planes, and high-performance AI systems designed for the most demanding environments. We are not building a generic cloud. We are building purpose-built AI infrastructure - from powered land, to compute, to software . As we scale our platform and expand our engineering organisation, we are looking for leaders who can build strong teams, uphold high standards, and deliver reliably at pace. Job Description As a Senior Network Engineer, you'll design, deploy, and operate the high-performance, low-latency network fabric that underpins our GPU infrastructure. You'll play a critical role in shaping the architecture, automation, and operational standards of our network, ensuring it meets the rigorous demands of modern AI training and inference workloads. The ideal candidate is a strong advocate of engineering excellence and operational best practices. You're customer-focused, collaborative, and equally comfortable discussing technical issues with enterprise customers, internal teams, and cross-functional stakeholders. You'll contribute to everything from design and implementation through to L3/L4 operational support.

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