GCP Cloud Engineer & Migration Lead

Atmosera; Ciudad de Mendoza; Hybrid; ARS 151,925,000 - 273,465,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Job summary

AgileEngine is seeking a skilled GCP Cloud Engineer to design, deploy, and manage cloud infra primarily on Google Cloud Platform. You will drive AWS-to-GCP migrations, implement CI/CD via Azure DevOps, and automate with Terraform, Python, Bash, or PowerShell.

You'll optimize cost, security, and performance across GCP workloads, including GKE, Cloud Run, and Cloud SQL, while ensuring zero-downtime deployments and scalable architectures.

Qualifications

• Experience architecting and migrating workloads to Google Cloud Platform.
• Proficient with GKE, Cloud Run, Cloud SQL, Filestore and networking.
• Strong automation via Terraform and scripting (Python, Bash, PowerShell).

Responsibilities

• Architect, deploy, and maintain GCP resources via Terraform and automation.
• Lead AWS-to-GCP migration workstreams and cutover planning.
• Design cloud networking, IAM, and security landing zones.
• Develop and manage CI/CD pipelines with Azure DevOps.
• Optimize costs and performance across GCP environments.
• Migrate workloads across clouds (AWS ↔ GCP).
• Ensure zero-downtime deployments and scalable architectures.

Skills

GCP cloud architecture

Terraform

Azure DevOps

Python

Bash

PowerShell

GKE

Cloud Run

Cloud SQL

Filestore

Kubernetes

CI/CD

DevSecOps

Cross-cloud migration

Tools

Terraform

Azure DevOps

GKE

Kubernetes

Helm

Cloud Run

Cloud Functions

AWS EKS

Go

Python

PowerShell

Bash

Job description

AgileEngine is seeking a skilled GCP Cloud Engineer to design, deploy, and manage cloud infra primarily on Google Cloud Platform. You will drive AWS-to-GCP migrations, implement CI/CD via Azure DevOps, and automate with Terraform, Python, Bash, or PowerShell.

You'll optimize cost, security, and performance across GCP workloads, including GKE, Cloud Run, and Cloud SQL, while ensuring zero-downtime deployments and scalable architectures.