radiant · Gloucestershire
Skills: Python, Docker
ABOUT RADIANT 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. Role Responsibilities - Deploy and Manage Kubernetes Clusters, deployed at scale to support AI centric workloads, across both our bare metal clusters and via trusted partner infrastructure - Develop Kubernetes Manifests and Operators: Facilitate application deployments and maintain Kubernetes-native services for networking, storage, security, identity and infrastructure management - Optimize Linux system configuration including kernel, driver, filesystem and services to support workloads running via our orchestration layer - Build and maintain automation scripts and infrastructure as code to support platform lifecycle, as well as simplifying troubleshooting for Incident resolution and provision of tooling for our support organisation - Apply ITSM frameworks: Incident, Major Incident, Change Management, and service improvement. - Maintain and enhance Radiant’s observability stack: Prometheus, Grafana, and custom monitoring integrations - Operate and support services in 24x7 production environments, including on-call rotation - Contribute to Incident postmortem analyses, root cause analysis, document learnings, and automate remediations - Mentor junior engineers and act as an Operational requirements consultant to other departments - Communicate technical decisions clearly to non-technical stakeholders and customers - Uphold a culture of: do, document…
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