Fleet-Scale Kubernetes Engineer (24/7 Ops)

Firmus Technologies

Sydney

On-site

AUD 180,000 - 240,000

Full time

6 days ago
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Job summary

Firmus Technologies is seeking a Senior Kubernetes Platform Engineer to own the multi-tenant Kubernetes estate that powers AI FactoryOS and related platforms. You will manage the platform lifecycle, automation tooling and guardrails to keep clusters healthy across a large fleet.

The role requires deep Kubernetes expertise, experience with GPU-enabled workloads, and strong automation skills in a 24/7 production setting. Based in Australia or Singapore with travel to sites as needed.

Qualifications

  • 8+ years in platform/infrastructure engineering with production Kubernetes in 24/7 environments.
  • Experience operating Kubernetes at fleet scale and multi-cluster management.
  • Strong knowledge of Kubernetes control plane internals and upgrades.
  • Experience writing controllers or admission logic in production.
  • Familiarity with multi-tenant patterns and GPU-enabled Kubernetes.

Responsibilities

  • Ensure reliable operation and automation of a multi-tenant Kubernetes platform across the fleet.
  • Develop operational tooling, guarded remediation and orchestration for fleet-scale operations.
  • Manage cluster lifecycle: provisioning, patching, upgrade and decommissioning.
  • Operate and recover Kubernetes control planes and tenant onboarding pipelines.
  • Lead incident response and drive permanent fixes through runbooks and knowledge sharing.

Skills

Kubernetes expertise
Platform engineering
Automation & IaC
Scripting for automation
Incident response
Security fundamentals
Documentation & design notes
Strong communication

Education

Bachelor's degree in computer science or related

Tools

OpenTofu
Terraform
Ansible
Argo CD
NVIDIA GPU Operator
vCluster

Job description

Firmus Technologies is seeking a Senior Kubernetes Platform Engineer to own the multi-tenant Kubernetes estate that powers AI FactoryOS and related platforms. You will manage the platform lifecycle, automation tooling and guardrails to keep clusters healthy across a large fleet.

The role requires deep Kubernetes expertise, experience with GPU-enabled workloads, and strong automation skills in a 24/7 production setting. Based in Australia or Singapore with travel to sites as needed.

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