AI Platform DevOps Engineer | Kubernetes & CI/CD

Work Initiatives; North Sydney; Hybrid; AUD 140,000 - 180,000; Full time

Benefits offered by this job

High-performance culture

State-of-the-art technology

World-class leadership

Impact and purpose

Competitive salary

Flexible work environment

Job summary

Future Secure AI is seeking a Platform DevOps Engineer to design, build, and operate the platforms powering AI Co-Workers. You will own reliability end-to-end and work closely with product, AI, and engineering teams to ensure scalable, secure deployment.

Join a high-growth AI environment with modern cloud-native tooling and a strong focus on resilience, security, and observability across multi-cloud platforms.

Qualifications

• Hands-on Kubernetes experience with EKS/AKS/GKE or self-managed clusters.
• Hands-on Terraform/Terragrunt for provisioning and automation.
• Hands-on Helm for Kubernetes deployments.
• Professional experience in at least two programming or scripting languages such as Python, Go, Java, Bash, PowerShell, or 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.
• Build and maintain infrastructure as code via GitOps with Terraform/Terragrunt.
• Maintain reusable GitHub Actions CI/CD workflows for Docker, Terraform, and cross-repo deploys.
• Implement Helm-based deployment workflows leveraging GitOps tools (ArgoCD).
• Define, measure, and improve system reliability with SLIs, SLOs, and SLAs.
• Participate in on-call rotation, incident response, and post-mortems.
• Reduce operational toil through automation and engineering improvements.
• Improve observability across monitoring, logging, and alerting.
• Collaborate with engineers to ensure resilient, scalable, and secure systems.

Skills

Kubernetes

Terraform

Terragrunt

Helm

Python

Go

Java

Bash

PowerShell

ArgoCD

GitOps

AWS

Azure

GCP

Tools

Terraform/Terragrunt

ArgoCD

GitHub Actions

Job description

Future Secure AI is seeking a Platform DevOps Engineer to design, build, and operate the platforms powering AI Co-Workers. You will own reliability end-to-end and work closely with product, AI, and engineering teams to ensure scalable, secure deployment.

Join a high-growth AI environment with modern cloud-native tooling and a strong focus on resilience, security, and observability across multi-cloud platforms.