Platform Engineer - AI/ML Infrastructure

Platform Engineer – AI/ML Infrastructure, Kubernetes, GitOps & Helm

About the Role

We’re seeking a skilled Platform Engineer to deploy and manage AI/ML infrastructure and applications on Kubernetes. You’ll be responsible for building reliable, scalable, and secure deployment pipelines using modern GitOps practices.

What You’ll Do

• Deploy and manage AI/ML applications and related platforms 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 teams 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.
• Kubernetes networking, Ingress, and Gateway API.

Infrastructure & Database

• PostgreSQL, MongoDB, Redis, RabbitMQ administration.
• Database HA/failover configurations (PgBouncer, HAProxy).
• Linux/Unix systems and shell scripting (Bash, PowerShell).

Nice to Have

• Experience with AI/ML platforms and application frameworks.
• Vector databases and related technologies.
• Temporal.io workflow orchestration.
• Python/Go for automation.