Platform DevOps 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 Us 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 Platform DevOps 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 will you be doing Design, build, and operate reliable production infrastructure supporting AI Co‑WorkersOwn Kubernetes‑based platforms used to deploy and run AI workloadsBuild and maintain infrastructure as code via GitOps methodology using Terraform/TerragruntMaintain reusable GitHub Actions CI/CD workflows for Docker image builds, Terraform plan/apply gates, and cross-repo deploysImplement and maintain Helm‑based deployment workflows leveraging GitOps tools and technologies (ArgoCD)Define, measure, and improve system reliability using SLIs, SLOs, and SLAsParticipate in on‑call rotation, incident response, root cause analysis, and post‑mortemsReduce operational toil through automation and engineering improvementsBuild and improve observability across monitoring, logging, and alertingPartner closely with engineers to ensure systems are resilient, scalable, and secureOperate across build, deploy, and operate phases of the software lifecycleTroubleshoot and remediate issues across a highly variable, multi-layer technology stackContribute to product feature enhancements through the design and implementation of architectural improvements of the technology stack, which must satisfy requirements for resiliency, security and compatibility across multiple cloud providersMust have criteria Hands‑on Kubernetes experience designing, building, or operating workloads on EKS, AKS, GKE, or self‑managed KubernetesHands‑on Terraform/Terragrunt 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 RubyDirect Platform/DevOps Engineer experience or equivalentShould 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 or DevSecOps experience, including CI/CD ownership, infrastructure automation, and security considerationsPreferable criteria Relevant certifications such as CKA, CKAD, cloud certifications (AWS, Azure and/or GCP), DevOps, DevSecOps, or programming credentialsWhy Join Us? A high-performance cultureState-of-the-art technologyExperience world-class leadershipScale of impact and purposeA competitive salary and a huge growth trajectoryWork with the best in the industryFlexible work environmentDiversity and creativity Disclaimer: 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 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 at www.futuresecure.ai (the "Website") and use our services.