Future Secure AI builds AI Co‑Workers that automate real operational work across enterprise settings. 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 role
Design, build, and operate reliable production infrastructure supporting AI Co‑Workers
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
Define, measure, and improve system reliability using SLIs, SLOs, and SLAs
Participate in on‑call rotation, incident response, root cause analysis, and post‑mortems
Reduce operational toil through automation and engineering improvements
Build and improve observability across monitoring, logging, and alerting
Partner closely with engineers to ensure systems are resilient, scalable, and secure
Operate across build, deploy, and operate phases of the software lifecycle

Must have criteria




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
Skilled experience using at least two programming or scripting languages such as Python, Go, Java, Bash, PowerShell, or Ruby
Direct Site Reliability Engineer experience or equivalent, including reliability engineering, on‑call, incident response, post‑mortems, and toil reduction

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 qualified experience
DevOps or DevSecOps experience, including CI/CD ownership, infrastructure automation, and security considerations

Relevant certifications
Relevant certifications such as CKA, CKAD, cloud certifications, DevOps, DevSecOps, or programming credentials
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📌 Devops Engineernew New South Wales (Australia)
🏢 Future Secure AI
📍 Australia