Senior GCP DevOps & LLMOps Engineer

About the role

We are looking for an experienced Senior GCP DevOps & LLMOps Engineer to architect, deploy, and maintain robust infrastructure supporting enterprise-scale Large Language Model (LLM) and Generative AI applications. In this role, you will bridge the gap between traditional DevOps, platform engineering, and modern machine learning operations.

What you'll do

• Infrastructure as Code ( IaC ) & Cloud Architecture
• Design, build, and maintain production GCP environments using modular, reusable Terraform (and Terragrunt ) code
• Manage multi-environment cloud resources across VPC networking, Private Service Connect, Cloud Interconnect, IAM, KMS, and Cloud Storage
• LLMOps & GenAI Platform Engineering
• Build automated deployment, scaling, and operational infrastructure for generative AI models hosted on Vertex AI , GKE (Google Kubernetes Engine)

What you need

• 5–9 yrs of experience
• GCP
• CI/CD
• Terraform
• Kubernetes
• Docker
• Python
• Any graduate

Good to have

• ISO 27001
• SQL
• Redis
• Bash
• LLMs
• Machine learning