Platform Engineer AI/ML Infrastructure

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 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 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