Platform DevOps Engineer - Scale AI Workloads & Reliability

Future Secure AI; City of Brisbane; On-site; AUD 140,000 - 210,000; Full time

Job summary

Future Secure AI is seeking a Platform DevOps Engineer to design, build, and operate scalable AI co-worker platforms. This hands-on role emphasizes reliability, end-to-end ownership, and close collaboration with product, AI, and engineering teams.

You will own Kubernetes-based platforms, implement GitOps with Terraform/Terragrunt and ArgoCD, and drive CI/CD automation across cloud environments. A strong focus on system reliability, security, and observability is essential.

Qualifications

• Hands-on Kubernetes experience with cloud-based clusters (EKS/AKS/GKE or self-managed).
• Terraform/Terragrunt for infrastructure provisioning and automation.
• Helm experience for Kubernetes app deployment.
• Proficiency in at least two languages (Go/Python/Java/Bash/PowerShell/Ruby).
• Direct Platform/DevOps Engineer experience or equivalent.

Responsibilities

• Design, build, and operate reliable production infrastructure for AI Co‑Workers.
• Own Kubernetes-based platforms used to deploy and run AI workloads.
• Maintain infrastructure as code via GitOps using Terraform/Terragrunt."
• Maintain reusable CI/CD workflows with GitHub Actions for Docker image builds and Terraform gates.
• Implement Helm-based deployment workflows using ArgoCD and GitOps tooling.
• Define and monitor SLIs/SLOs/SLAs and participate in on‑call rotation and post‑mortems.
• Reduce toil through automation and engineering improvements; improve observability.

Skills

Kubernetes

Terraform/Terragrunt

Helm

CI/CD

ArgoCD

GitOps

Go/Python/Java/Bash

Cloud providers (AWS/Azure/GCP)

Job description

Future Secure AI is seeking a Platform DevOps Engineer to design, build, and operate scalable AI co-worker platforms. This hands-on role emphasizes reliability, end-to-end ownership, and close collaboration with product, AI, and engineering teams.

You will own Kubernetes-based platforms, implement GitOps with Terraform/Terragrunt and ArgoCD, and drive CI/CD automation across cloud environments. A strong focus on system reliability, security, and observability is essential.