Roles and responsibilities
Were seeking a skilled Platform Engineer to deploy and manage our AI/ML infrastructure, e.g LlamaIndex Cloud and KDB.AI applications on Kubernetes Platform.
Youll be responsible for building reliable, scalable, and secure deployment pipelines using up-to-date GitOps practices.
Deploy and manage LlamaIndex Cloud and KDB.AI applications and similar products supporting AI workloads across Dev/QA/Prod settings
Implement GitOps workflows using Flux CD for automated deployments
Administer Kubernetes clusters across multiple environments
Configure HashiCorp Vault for secrets management and ExternalSecrets integration
Maintain CI/CD pipelines with GitHub Actions and Artifactory
Work with enterprise Identity Management team to configure OIDC authentication with Microsoft Entra ID
Create and maintain Helm charts and Kubernetes manifests
Monitor application performance and troubleshoot production issues
Document procedures, runbooks,



and infrastructure patterns

Required Skills
Core Technologies:
3 years managing production Kubernetes clusters
2 years with Flux CD, ArgoCD, or similar GitOps tools
Advanced Helm chart development and management
HashiCorp Vault for secrets management
Artifactory or similar container registries
CI/CD with GitHub Actions, Jenkins, or similar
Infrastructure & Database:
PostgreSQL, MongoDB, Redis, RabbitMQ administration
Database HA/failover configurations (PgBouncer, HAProxy)
Linux/Unix systems and shell scripting (Bash, PowerShell)
Kubernetes networking, Ingress, and Gateway API

Nice to Have
Experience with LlamaIndex, LangChain, or AI/ML platforms
Vector databases or KDB.AI knowledge
Temporal.io workflow orchestration
Python/Go for automation

📌 Platform Engineer – Kubernetes / Ai Ml Infrastructure Toronto
🏢 BULL INFORMATION SYSTEMS
📍 Toronto