Platform Engineer - AI/ML Infrastructure

Job summary

The Platform Engineer - AI/ML Infrastructure role is responsible for deploying and managing AI/ML infrastructure, specifically using LlamaIndex Cloud and KDB.AI applications on a Kubernetes platform. Key responsibilities include building secure deployment pipelines with GitOps practices, administering Kubernetes clusters, and configuring HashiCorp Vault for secrets management, ensuring reliable performance across various environments.

Qualifications

• Managing production Kubernetes clusters
• Experience 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
• 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

Responsibilities

• Deploy and manage LlamaIndex Cloud and KDB.AI applications 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 Identity Management team to configure OIDC authentication with Microsoft Entra ID
• Create and maintain Helm charts and Kubernetes manifests
• Document procedures, runbooks, and infrastructure patterns

Skills

Relocation