Description

You design, build, and operate secure, scalable GCP and Azure 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, org policies, and hybrid connectivity across GCP and Azure.
• Enable MLOps/LLMOps pipelines for model deployment, monitoring, and lifecycle management, integrating Arize AI and GenAI platforms.
• Implement platform engineering best practices, including Kubernetes-based abstractions, internal developer portals, and self-service environments.
• Ensure platform security, governance, and secrets management using HashiCorp Vault, IAM, and policy-as-code.
• Establish observability, SLOs, and SRE practices to ensure reliability and performance of GenAI and platform services.

Required Skills

• 10+ years of experience in cloud platform engineering.
• Strong hands-on expertise with GCP and Azure multi-cloud environments.
• Proficiency in Terraform for Infrastructure as Code and reusable modules.
• Deep knowledge of cloud networking and hybrid connectivity (VPN, VPC/VNet peering, private endpoints).
• Experience managing Kubernetes platforms (GKE) and OpenShift (OCP).
• Ability to design landing zones and implement cloud governance frameworks.
• Proficiency in Python for automation tasks.

Preferred Skills

• Experience with GenAI platforms, LLMs, and RAG architectures.
• Knowledge of HashiCorp Vault for secrets management.

Key Skills

Education

Any Graduate