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 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
- Professional 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)
🏢 Future Secure AI
📍 New South Wales