Platform Engineer - AI/ML Infrastructure

Position: Platform Engineer - AI/ML Infrastructure Location: Toronto, ON (Hybrid) Employment Type: Full-Time Experience Range: 8-10+ Years Job Description: Roles and responsibilities: We’re seeking a skilled Platform Engineer to deploy and manage our AI/ML infrastructure, e.g. LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.You’ll be responsible for building reliable, scalable, and secure deployment pipelines using modern GitOps practices.Deploy and manage LlamaIndex Cloud and KDB.AI applications and similar products supporting AI workloads across Dev/QA/Prod environments.Implement GitOps workflows using Flux CD for automated deploymentsAdminister Kubernetes clusters across multiple environmentsConfigure HashiCorp Vault for secrets management and External Secrets integrationMaintain CI/CD pipelines with GitHub Actions and ArtifactoryWork with enterprise Identity Management team to configure OIDC authentication with Microsoft Entra IDCreate and maintain Helm charts and Kubernetes manifestsMonitor application performance and troubleshoot production issuesDocument procedures, runbooks, and infrastructure patterns Required Skills Core Technologies:3+ years managing production Kubernetes clusters2+ years with Flux CD, ArgoCD, or similar GitOps toolsAdvanced Helm chart development and managementHashiCorp Vault for secrets managementArtifactory or similar container registriesCI/CD with GitHub Actions, Jenkins, or similarInfrastructure & Database:PostgreSQL, MongoDB, Redis, RabbitMQ administrationDatabase HA/failover configurations (PgBouncer, HAProxy)Linux/Unix systems and shell scripting (Bash, PowerShell)Kubernetes networking, Ingress, and Gateway API Nice to Have: Experience with Llama Index, LangChain, or AI/ML platformsVector databases or KDB.AI knowledgeTemporal.io workflow orchestrationPython/Go for automation