Forward Deployed Engineer

Future Secure AI; Adelaide; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

A high-performance culture

State-of-the-art technology

World-class leadership

Scale of impact and purpose

Competitive salary and strong growth

Work alongside the best in theindustry

Flexible work environment

Diversity and creativity

Job summary

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

The role emphasizes hands‑on Kubernetes, Terraform, Helm, and GitOps practices, with collaboration across greenfield and brownfield environments and a focus on resilience and security.

Qualifications

• Hands-on Kubernetes experience designing, building, or operating workloads
• Terraform experience for infrastructure provisioning and automation
• Helm-based deployment workflows experience
• Proficiency in at least two programming or scripting languages
• Strong communication for both engineer-level and leadership-level discussions
• Experience with a defined SDLC including CI/CD and end-to-end delivery

Responsibilities

• Design, build, and operate reliable production infrastructure for AI Co‑Workers
• Configure production-grade Kubernetes clusters (EKS/AKS/GKE or self-managed)
• Own platforms used to deploy and run AI workloads on Kubernetes
• Maintain infrastructure as code with Terraform
• Implement Helm deployment workflows and GitOps practices
• Collaborate with engineers to ensure resilience, scalability, and security

Skills

Kubernetes

Terraform

Helm

CI/CD

Cloud (AWS/Azure/GCP)

Python/Go/Java

Security considerations

Communication skills

ArgoCD

Git

Tools

ArgoCD

Git

Job description

About the Company

At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.

About the role

We are looking for a Forward Deployed Engineer to help design, build, and operate the platforms that power AI Co‑Workers. This is a hands‑on role for an engineer who enjoys owning reliability end‑to‑end and working closely with product, AI, and engineering teams.

What You'll Do

• Design, build, and operate reliable production infrastructure supporting AI Co-Workers


• Design and configure production-grade Kubernetes clusters, not just operate workloads on top of existing one


• 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, often with incomplete documentation


• Leave environments in a clean, well‑documented state that other teams can maintain going forward


• Partner closely with engineers to ensure systems are resilient, scalable, and secure

What You'll Have

• Hands‑on Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self‑managed Kubernetes


• Hands‑on Terraform experience for infrastructure provisioning and automation


• Hands‑on Helm experience for Kubernetes application deployment


• Professional experience using at least two programming or scripting languages such as Python, Go, Java, Bash, PowerShell, or Ruby


• Strong communication skills, with the ability to run technical conversations at engineer level and adjust for leadership‑level discussions

Should-Have Criteria

• Experience working within a defined SDLC, including CI/CD, release processes, and end-to-end delivery from design to operations


• Hands‑on experience with at least one major cloud provider such as AWS, Azure, or Google Cloud


• Experience with ArgoCD or GitOps-style deployment approaches


• Five or more years of relevant professional experience


• DevOps experience, including CI/CD ownership, infrastructure automation, and security considerations

Preferable Criteria

• Relevant certifications such as CKA, CKAD, cloud certifications, DevOps, DevSecOps, or programming credentials

Why Join Us?

• A high-performance culture


• State-of-the-art technology


• World-class leadership


• Scale of impact and purpose


• A competitive salary and strong growth trajectory


• Work alongside the best in the industry


• Flexible work environment


• Diversity and creativity

Disclaimer

We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house.

Future Secure AI Privacy Policy

At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website atwww.futuresecure.ai(the \"Website\") and use our services.