Remote GCP Cloud Engineer: AWS-to-GCP Migration

Opsarmy; Rosario; Hybrid; ARS 136,732,000 - 197,502,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

A selection of exciting projects

Flextime

Job summary

Opsarmy is seeking an experienced GCP Cloud Engineer to architect and manage cloud infrastructure using GKE, Cloud Run, and Terraform. You will lead an AWS-to-GCP migration, assess workloads, define target architectures, and drive production cutover, with strong CI/CD experience via Azure DevOps and scripting in Python, Bash, or PowerShell.

The role requires 4+ years in cloud engineering with focus on GCP, hands-on GKE, Docker, Helm, Terraform, and automation.

Qualifications

• 4+ years in Cloud Engineering with a focus on GCP.
• Hands-on experience with GKE, Docker networking, and Helm.
• Terraform for provisioning cloud resources.
• Experience with AWS-to-GCP migrations.
• Upper-intermediate English level.

Responsibilities

• Architect, deploy, and maintain GCP resources via Terraform or automation.
• Implement storage and data services (Cloud Storage, Cloud SQL, Filestore).
• Manage and optimize Cloud Load Balancers for high availability.
• Design cloud networking, IAM, security, and landing-zone components.
• Automate scaling, rolling updates, and zero-downtime deployments.
• Migrate workloads across clouds (AWS–GCP).
• Deploy apps on Cloud Run/Cloud Functions for serverless workloads.

Skills

GCP

Terraform

Python

Bash/PowerShell

CI/CD

Azure DevOps

Go

AI coding assistants

Tools

GKE

Docker

Azure DevOps

Terraform

Go

Cloud Run

Cloud Functions

Job description

Opsarmy is seeking an experienced GCP Cloud Engineer to architect and manage cloud infrastructure using GKE, Cloud Run, and Terraform. You will lead an AWS-to-GCP migration, assess workloads, define target architectures, and drive production cutover, with strong CI/CD experience via Azure DevOps and scripting in Python, Bash, or PowerShell.

The role requires 4+ years in cloud engineering with focus on GCP, hands-on GKE, Docker, Helm, Terraform, and automation.