Want to work at the intersection of DevOps, Kubernetes and AI?
I'm working with a rapidly growing technology business that is building out its AI engineering capability and looking for an experienced engineer to work closely with their AI, Data and Software Engineering teams.This isn't a traditional DevOps role where you're simply managing pipelines and cloud infrastructure.
You'll be responsible for building the bare metal infrastructure, automation and deployment foundations that enable AI engineers and developers to build, test and deploy at scale.Your New RolePartner closely with AI/ML,



Data and Software EngineersBuild and maintain the infrastructure supporting AI workloads and applicationsOwn the CI/CD and deployment architecture across engineeringDevelop scalable and highly reliable Kubernetes platformsAutomate infrastructure, deployments and operational processesAct as the bridge between AI engineering and infrastructureYour Experience6+ years in DevOps, Platform Engineering, Site Reliability or AI Engineering rolesStrong production Kubernetes experience (on-premise or cloud)Solid automation skills in Python or GolangExperience supporting AI/ML, Data or highly compute-intensive engineering environmentsExperience with tools/platforms such as MLflow, Kubeflow, Ray, Airflow, or similarUnderstanding of LLM application infrastructure, model serving, inference or AI platforms
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📌 Ai Devops Tech Lead - Up To $250K + Bonus (New South Wales)
🏢 Charterhouse Partnership
📍 New South Wales