AI/ML DevOps Platform Engineer

Position: Platform Engineer - AI/ML Infrastructure

About the Role: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 modern GitOps practices.

What Youll Do

• 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 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