Platform Engineer - AI/ML Infrastructure

Job Description

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.
  

Requirements
Salesforce