Senior Kubernetes Platform Engineer (AI)

Location: Based in Australia or Singapore, with travel to Australian AI Factory sites as required

Company

AI infrastructure company operating large-scale GPU-powered AI Factory sites and an integrated AI cloud platform.

What you will do

• Operate and continuously improve a multi-tenant Kubernetes platform deployed across the infrastructure estate.
• Execute cluster provisioning, patching, upgrades, decommissioning, staged releases, and version compliance.
• Recover Kubernetes control planes, including etcd state, certificates, failed upgrades, and corrupted resources.
• Operate virtual clusters, tenant isolation patterns, automated onboarding pipelines, and GPU integration with device plugins and scheduling.
• Diagnose scheduling, CNI, CSI, admission, and resource contention faults while improving validation, CI/CD, provisioning, and testing frameworks.
• Lead technical recovery during major incidents, document runbooks, and drive permanent fixes through problem management and platform engineering.

Requirements

• 8+ years of overall experience with substantial ownership of production Kubernetes platforms in 24/7 environments.
• Deep experience with fleet-scale Kubernetes operations, multi-cluster lifecycle management, upgrades, and control-plane internals including etcd, API servers, controllers, schedulers, and credential rotation.
• Production experience writing Kubernetes controllers, operators, or admission logic.
• Experience with multi-tenant or virtual cluster platforms, GPU-enabled Kubernetes, device plugins, GPU scheduling, and driver coordination.
• Strong infrastructure automation, infrastructure-as-code, GitOps, and operational programming skills using tools such as OpenTofu or Terraform, Ansible, Argo CD, Go, Python, or Bash.
• Experience with major incident response, on-call escalation, post-incident reviews, runbooks, admission control, workload identity, and network policy.

Nice to have

• Experience operating GPU or HPC Kubernetes workloads at scale.
• Experience with automated tenant or customer onboarding pipelines and vendor Kubernetes distributions for accelerated computing.
• Familiarity with DPU or SmartNIC networking for Kubernetes CNI design.
• Open-source Kubernetes ecosystem contributions.
• Bachelor's degree in computer science, engineering, or a related discipline, or equivalent experience and training.

Culture & Benefits

• Hands-on engineering role within a 24/7 operations function.
• Shared after-hours escalation roster for the Kubernetes estate.
• Progressive delivery through peer review, automated testing, and staged or canary rollouts.
• Work includes travel to Australian AI Factory sites as required.

Hiring process

• Technical evaluation focused on Kubernetes internals, fleet operations, automation, incident recovery, and multi-tenant GPU platforms.