Full timeEngineering

Forward Deployed Engineer Sydney, Brisbane, Melbourne

Future Secure AI Inc.Melbourne, Melbourne🇦🇺Australia

Why this role stands out

This role offers a unique opportunity to shape the future of AI by designing and operating cutting-edge platforms, with significant investment in your professional growth and a collaborative, entrepreneurial culture. You'll thrive here if you're a hands-on, mid-senior engineer eager to tackle complex challenges in a hybrid environment, contributing to impactful work at the frontier of AI.

Quick overview

SeniorityMid Senior

Employment typeFull Time

Work modeHybrid

LocationMelbourne, Melbourne, Australia

Job description

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 aForward Deployed Engineerto 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
Relevant certifications such as CKA, CKAD, cloud certifications, DevOps, DevSecOps, or programming credentials

Why Join Us?