Frontline AI Infra Engineer: Kubernetes & Cloud

Future Secure AI; Sydney; Hybrid; AUD 150,000 - 210,000; Full time

Job summary

Future Secure AI seeks a Forward Deployed Engineer to design, build, and operate platforms powering AI Co‑Workers. You will own end-to-end reliability, working closely with product, AI, and engineering teams.

The role emphasizes designing production-grade Kubernetes clusters, infrastructure as code with Terraform, Helm workflows, and collaboration across greenfield and brownfield environments.

Qualifications

• Kubernetes design/ops experience (EKS/AKS/GKE or self-managed)
• Terraform proficiency
• Helm deployment experience
• Programming/scripting (Python, Go, Java, Bash, PowerShell, or Ruby)
• Strong communication skills for engineer-level discussions
• CI/CD, SDLC experience and end-to-end delivery
• Experience with AWS, Azure, or Google Cloud
• ArgoCD or GitOps deployment experience
• Five+ years of professional experience
• Certifications like CKA/CKAD or cloud/DevOps credentials

Responsibilities

• Design, build, and operate reliable production infrastructure supporting AI Co‑Workers
• Design and configure production-grade Kubernetes clusters
• Own Kubernetes-based platforms used to deploy and run AI workloads
• Build and maintain infrastructure as code using Terraform
• Implement and maintain Helm-based deployment workflows
• Operate effectively in greenfield and brownfield customer environments
• Leave environments in a clean, well-documented state for others
• Partner closely with engineers to ensure systems are resilient, scalable, and secure

Skills

Kubernetes

Terraform

Helm

Programming languages

Strong communication

CI/CD ownership

Education

CKA/CKAD or similar certifications

Tools

ArgoCD

GitOps

AWS

Azure

Google Cloud

Job description

Future Secure AI seeks a Forward Deployed Engineer to design, build, and operate platforms powering AI Co‑Workers. You will own end-to-end reliability, working closely with product, AI, and engineering teams.

The role emphasizes designing production-grade Kubernetes clusters, infrastructure as code with Terraform, Helm workflows, and collaboration across greenfield and brownfield environments.