Forward Deployed Engineer — Build AI Platforms

Future Secure AI

Adelaide

On-site

AUD 140,000 - 180,000

Full time

9 hours ago
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Job summary

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

You’ll work hands‑on with Kubernetes clusters (EKS/AKS/GKE or self‑managed), Terraform, and Helm to deliver production infrastructure. Requirements include 5+ years of experience, proficiency in multiple languages, and strong communication for engineer and leadership discussions.

Qualifications

  • Strong communication skills for engineer and leadership discussions.
  • At least five years of relevant professional experience.
  • Hands-on Kubernetes experience with EKS/AKS/GKE or self-managed clusters.
  • Terraform for infrastructure provisioning and automation.
  • Helm-based deployment workflows and CI/CD familiarity.

Responsibilities

  • Design, build, and operate reliable production infrastructure supporting AI Co‑Workers.
  • 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 in customer environments with incomplete documentation.
  • Leave environments well‑documented for cross-team use.
  • Partner with engineers to ensure resilient, scalable, and secure systems.

Skills

Strong communication skills
Five+ years of experience

Tools

Kubernetes
Terraform
Helm
Python
Go
Java
Bash
PowerShell
Ruby

Job description

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

You’ll work hands‑on with Kubernetes clusters (EKS/AKS/GKE or self‑managed), Terraform, and Helm to deliver production infrastructure. Requirements include 5+ years of experience, proficiency in multiple languages, and strong communication for engineer and leadership discussions.

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