Platform Site Reliability Engineer

From the posting

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. …

Excerpt from Radiant's public job board. Read the full posting.