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, automate
- Willingness to cross train with Platform Engineering/Platform SRE to fully support both our infrastructure and platform stacks.
- Willingness to cross train with HPC Engineering, supported by NVIDIA to enhance our HPC supportability offering
Requirements
- 5+ Years Proven experience in globally scaled, performance-intensive environments operating to a 24/7 support model in an SRE or equivalent role
- 3+ years experience in both running, deploying and optimising orchestration platforms with a strong emphasis on Kubernetes
- Expert-level Linux administration, especially Ubuntu distributions
- Proficiency in system tuning, disk I/O optimization, and hardware-level performance tweaks