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