GCP Platform Engineer - Enterprise Cloud & AI Platform

About this role

Role Overview

The
GCP Platform Engineer
is responsible for designing, building, and operating secure, scalable, and compliant cloud and AI-enabled platforms on Google Cloud Platform (GCP).

This role focuses on enabling application, data, and AI teams through standardized cloud infrastructure, Kubernetes platforms, and approved Google AI services. The engineer ensures that AI and cloud workloads are deployed with strong governance, security controls, observability, and enterprise reliability standards.

Working cross-functionally with Cloud, Data & AI, Security, and Risk teams, this role supports the safe and compliant adoption of AI capabilities within a regulated enterprise environment.

Required Qualifications

- 5+ years of experience in cloud, platform, or DevOps engineering.

- Strong hands-on experience with Google Cloud Platform.

- Expertise in Terraform and Infrastructure as Code.

- Experience operating Kubernetes (GKE) in enterprise environments.

- Proficiency in scripting (Python, Bash, or Go).

- Strong understanding of cloud security, IAM, and networking.

- Experience working in regulated or highly governed environments.

Key Responsibilities

Enterprise Cloud & AI Platform Engineering

- Design and maintain enterprise GCP landing zones aligned with governance and security standards.

- Build and operate shared cloud services supporting both AI and non-AI workloads.

- Implement Infrastructure as Code (Terraform) for platform, networking, and AI service enablement.

- Enable secure hybrid connectivity and controlled data access patterns.

Kubernetes & AI Workload Enablement

- Engineer and operate GKE clusters for application and AI inference workloads.

- Standardize containerized deployment patterns using approved base images.

- Support GPU-enabled workloads where required.

- Enable scalable deployment of AI APIs and services.

**Google...