Platform Site Reliability Engineer

About RadiantRadiant 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 infrastructureDevelop Kubernetes Manifests and Operators: Facilitate application deployments and maintain Kubernetes-native services for networking, storage, security, identity and infrastructure managementOptimize Linux system configuration including kernel, driver, filesystem and services to support workloads running via our orchestration layerBuild 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 organisationApply ITSM frameworks: Incident, Major Incident, Change Management, and service improvement.Maintain and enhance Radiant’s observability stack: Prometheus, Grafana, and custom monitoring integrationsOperate and support services in 24x7 production environments, including on-call rotationContribute to Incident postmortem analyses, root cause analysis, document learnings, and automate remediationsMentor junior engineers and act as an Operational requirements consultant to other departmentsCommunicate technical decisions clearly to non-technical stakeholders and customersUphold a culture of: do, document, automateWillingness to cross train