Description

You will design, build, and operate secure, scalable GCP and OpenShift platforms to support GenAI models, LLMs, and RAG workloads.

This role is on-site.

Responsibilities

• Provision and manage cloud infrastructure using Terraform, including landing zones, networking, and hybrid connectivity across GCP and Azure.
• Enable MLOps/LLMOps pipelines for model deployment and lifecycle management, integrating Arize AI and GenAI platforms.
• Implement platform engineering best practices, including Kubernetes-based abstractions and internal developer portals.
• Ensure platform security, governance, and secrets management using HashiCorp Vault, IAM, and policy-as-code.
• Establish observability, SLOs, and SRE practices to ensure reliability of GenAI and platform services.

Required Skills

• 5+ years of experience in cloud platform engineering.
• Strong proficiency with Google Cloud Platform (GCP) and Azure.
• Hands-on experience with Terraform for infrastructure as code.
• Deep knowledge of Kubernetes and OpenShift (OCP).
• Experience implementing MLOps/LLMOps pipelines.
• Understanding of cloud networking, IAM, and security best practices.
• Proficiency in Python.
• Familiarity with GenAI architectures and RAG workloads.

Preferred Skills

• Experience with HashiCorp Vault and policy-as-code tools.
• Background in observability and SRE practices.

Key Skills

Education

Any Gradute