Role : Platform Engineer – AI/ML Infrastructure

Location:
Toronto ,ON Role Summary We are seeking a Platform Engineer to deploy, manage, and secure AI/ML workloads on Kubernetes. The ideal candidate will have solid experience in GitOps, CI/CD, secrets management, and production infrastructure.

Key Responsibilities
• Deploy and manage LlamaIndex Cloud, KDB.
AI, and AI/ML applications across Dev, QA, and Production environments.
• Manage Kubernetes clusters, Helm charts, and Kubernetes manifests.
• Implement GitOps deployments using Flux CD or Argo CD.
• Configure HashiCorp Vault, External Secrets, and OIDC authentication with Microsoft Entra ID.
• Maintain CI/CD pipelines using GitHub Actions and Artifactory.
• Monitor application performance, troubleshoot production issues,



and maintain documentation. Required Skills
• 3+ years of production Kubernetes experience.
• 2+ years of GitOps experience with Flux CD, Argo CD, or similar tools.
• Advanced Helm, HashiCorp Vault, CI/CD, and container registry experience.
• PostgreSQL, MongoDB, Redis, RabbitMQ, and database HA/failover configurations.
• Linux/Unix, Bash/PowerShell scripting, Kubernetes networking, Ingress, and Gateway API. Nice to Have
• Experience with LlamaIndex, LangChain, KDB.
AI, or vector databases.
• Temporal.io workflow orchestration.
• Python or Go automation.

📌 Platform Engineer (Toronto)
🏢 apptoza
📍 Toronto