Role overview

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.