Forward Deployed Engineer

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-WorkersDesign and configure production-grade Kubernetes clusters, not just operate workloads on top of existing oneOwn Kubernetes-based platforms used to deploy and run AI workloadsBuild and maintain infrastructure as code using TerraformImplement and maintain Helm-based deployment workflowsOperate effectively in greenfield and brownfield customer environments, often with incomplete documentationLeave environments in a clean, well-documented state that other teams can maintain going forwardPartner closely with engineers to ensure systems are resilient, scalable, and secureWhat You'll Have Hands-on Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self-managed KubernetesHands-on Terraform experience for infrastructure provisioning and automationHands-on Helm experience for Kubernetes application deploymentProfessional experience using at least two programming or scripting languages such as Python, Go, Java, Bash, PowerShell, or RubyStrong communication skills, with the ability to run technical conversations at engineer level and adjust for leadership-level discussionsShould-Have Criteria Experience working within a defined SDLC, including CI/CD, release processes, and end-to-end delivery from design to operationsHands-on experience with at least one major cloud provider such as AWS, Azure, or Google CloudExperience with ArgoCD or GitOps-style deployment approachesFive or more years of relevant professional experienceDevOps experience, including CI/CD ownership, infrastructure automation, and security considerationsPreferable Criteria Relevant certifications such as CKA, CKAD, cloud certifications, DevOps, DevSecOps, or programming credentialsWhy Join Us? A high-performance cultureState-of-the-art technologyWorld-class leadershipScale of impact and purposeA competitive salary and strong growth trajectoryWork alongside the best in the industryFlexible work environmentDiversity and creativityDisclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house, and the best way for candidates to express interest is by applying with your resume through our company website. Future Secure AI Privacy PolicyAt 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 at www.futuresecure.ai (the "Website") and use our services.