GCP Cloud Engineer - Hybrid (AWS-to-GCP Migration)

Agileengine

Santiago de Querétaro

On-site

MXN 900,000 - 1,300,000

Full time

4 days ago
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Benefits offered by this job

Professional growth
Competitive USD-based compensation
A selection of exciting projects
Flextime

Job summary

AgileEngine is seeking an experienced GCP Cloud Engineer in Querétaro to architect and manage cloud infrastructure using GKE, Cloud Run, and Terraform. You will lead AWS-to-GCP migration workstreams, define target architectures, and drive production cutover with strong CI/CD and scripting skills.

Proficiency in Python, Bash, or PowerShell, plus experience with Azure DevOps, is essential. You will optimize costs, security, and performance across multi-cloud environments, including cross-cloud

Qualifications

  • 4+ years in Cloud Engineering with a focus on GCP.
  • Hands-on with Terraform for provisioning cloud resources.
  • Experience with Azure DevOps for CI/CD.

Responsibilities

  • Architect, deploy, and maintain GCP resources via Terraform or automation.
  • Implement GCS, Cloud SQL, and Filestore for storage/processing.
  • Manage Cloud Load Balancers for high availability.
  • Design cloud networking, IAM, security, and landing-zone components.
  • Optimize resources and costs across GCP environments.
  • Deploy and optimize workloads on GKE and Helm charts.
  • Automate scaling and zero-downtime deployments.
  • Migrate workloads AWS-to-GCP and across clouds as needed.
  • Deploy apps on Cloud Run/Cloud Functions for serverless workloads.

Skills

GCP services
GKE
Terraform
Azure DevOps
Python
Bash
PowerShell
Docker
IAM & security
AWS-to-GCP migration
Go
GitHub Copilot

Tools

Terraform
Go
Helm

Job description

AgileEngine is seeking an experienced GCP Cloud Engineer in Querétaro to architect and manage cloud infrastructure using GKE, Cloud Run, and Terraform. You will lead AWS-to-GCP migration workstreams, define target architectures, and drive production cutover with strong CI/CD and scripting skills.

Proficiency in Python, Bash, or PowerShell, plus experience with Azure DevOps, is essential. You will optimize costs, security, and performance across multi-cloud environments, including cross-cloud

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