Future Secure AI builds AI Co‐Workers that automate real operational work across enterprise environments.
Our systems run in production, at scale, and under real‐world constraints.
Reliability, resilience, and disciplined engineering are critical to everything we do.We are looking for a Site Reliability 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.The roleDesign, 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 using TerraformImplement and maintain Helm‐based deployment workflowsDefine, 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 lifecycleMust have criteriaHands‐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 RubyDirect Site Reliability Engineer experience or equivalent, including reliability engineering, on‐call, incident response, post‐mortems, and toil reductionShould have criteriaExperience 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 qualified experienceDevOps or DevSecOps experience, including CI/CD ownership, infrastructure automation, and security considerationsRelevant certificationsRelevant certifications such as CKA, CKAD, cloud certifications, DevOps, DevSecOps, or programming credentials
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📌 Devops Engineernew (New South Wales)
🏢 Future Secure AI
📍 New South Wales