Role : Platform Engineer – AI/ML Infrastructure

Location:
Toronto ,ON Role Overview We are seeking a skilled Platform Engineer to deploy, manage, and optimize AI/ML applications on Kubernetes platforms. The ideal candidate will have solid experience in GitOps, CI/CD, infrastructure automation, secrets management, and production Kubernetes environments.

Key Responsibilities
• Deploy and manage AI/ML applications such as LlamaIndex Cloud and KDB.
AI across Dev, QA, and Production.
• Manage Kubernetes clusters, Helm charts, and Kubernetes manifests.
• Implement GitOps workflows using Flux CD or ArgoCD.
• Maintain CI/CD pipelines using GitHub Actions and Artifactory.
• Configure HashiCorp Vault, ExternalSecrets, and OIDC authentication with Microsoft Entra ID.
• Administer databases, troubleshoot production issues,



and monitor application performance.
• Document infrastructure standards, runbooks, and operational procedures. Required Skills
• 3+ years of production Kubernetes experience.
• 2+ years with GitOps tools such as Flux CD or ArgoCD.
• Advanced Helm, HashiCorp Vault, CI/CD, and container registry experience.
• PostgreSQL, MongoDB, Redis, RabbitMQ, and database high availability/failover.
• Linux/Unix, Bash or PowerShell scripting, Kubernetes networking, Ingress, and Gateway API. Nice to Have
• LlamaIndex, LangChain, AI/ML platforms, or KDB.
AI.
• Temporal.io workflow orchestration.
• Python or Go automation experience.

📌 Platform Engineer – AI/ML Infrastructure (Toronto)
🏢 apptoza
📍 Toronto