GCP Cloud Engineer

Quick Facts

• Role: GCP Cloud Engineer

• Focus: GCP infrastructure, Kubernetes, serverless, and AWS-to-GCP migration

Description

Architect, deploy, and maintain GCP cloud infrastructure and workloads using Terraform, GKE, and Cloud Run. Lead an AWS-to-GCP migration workstream by assessing source workloads, defining target architectures, and driving production cutover with rollback planning. Build and manage CI/CD pipelines with Azure DevOps and automate infrastructure and operations using Python, Bash, or PowerShell.

Responsibilities

• Architect, deploy, and maintain GCP resources via Terraform and automation

• Implement data storage/processing with Cloud Storage, Cloud SQL, and Filestore

• Configure Cloud Load Balancers (HTTP(S), TCP/UDP, SSL Proxy) for high availability and scalability

• Design cloud networking, IAM, security, and landing-zone components

• Optimize monitoring, resource allocation, and cost efficiency across GCP

• Deploy and manage workloads on GKE using Helm charts

• Automate scaling, rolling updates, and zero-downtime deployments

• Move Kubernetes workloads across clouds (AWS EKS to GKE)

• Deploy and manage applications on Cloud Run and Cloud Functions

• Optimize Cloud Run container performance and cost efficiency

• Design and manage CI/CD pipelines with Azure DevOps

• Automate infrastructure deployment using Terraform and scripting (Bash/PowerShell)

• Integrate security and compliance checks into the DevOps workflow (DevSecOps)

• Plan and execute production AWS-to-GCP migration, including cutover and rollback planning

• Support cross-cloud data migration across object storage, warehouses, and managed services

• Automate migration and operational activities using Python, Bash, PowerShell, Go, or platform tooling

• Use AI coding assistants for migration analysis, implementation, troubleshooting, and documentation

Requirements

• 4+ years in cloud engineering with a focus on GCP

• Strong knowledge of GCP services: GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions, Cloud Run, Cloud Load Balancing

• Hands-on experience with GKE, Docker, GKE networking, and Helm

• Experience with Azure DevOps for CI/CD pipeline automation

• Expertise in Terraform for provisioning cloud resources

• Proficiency in Python, Bash, or PowerShell for automation

• Knowledge of cloud security principles, IAM, and compliance standards

• Hands-on involvement in at least one real AWS-to-GCP migration (able to explain what was migrated and what broke)

• Ability to deliver production-quality code using AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot, Codex)

• Upper-intermediate English level

Benefits

• Mentorship, TechTalks, and personalized growth roadmaps

• Competitive USD-based compensation and budgets for education, fitness, and team activities

• Flexible schedule with remote and office options

• Projects with Fortune 500 enterprises and leading product brands