Platform Site Reliability Engineer

About Radiant

Radiant is redefining how AI infrastructure is built.

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.

• 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, file system 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

• 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
• Strong networking fundamentals: TCP/IP, DNS, DHCP, VLANs, routing, switching
• Strong experience with API interrogation
• Strong experience with infrastructure scripting and automation (Bash, Python, Ansible)
• Deep understanding of observability principles and tools (Prometheus, Grafana preferred)
• Strong grasp of ITSM and service operation best practices
• Excellent communication and mentorship skills
• Comfortable interfacing with internal stakeholders and external customers
• Bonus:
  Knowledge of running AI workloads via orchestration platforms

• Bachelor or Masters Level degree in Computer Science, Engineering or related field, or equivalent experience.
• LPIC Certifications
• ITIL Foundation level qualification or equivalent experience
• Certified Kubernetes Administrator (CKA)

• You approach problems with a systems mindset - balancing practical execution with long-term scalability
• You elevate the team, setting high standards for technical quality and engineering excellence.
• You hold yourself and others accountable…