Azure Cloud Infrastructure Engineer — Remote Contractor

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 an Inc. 5000 company that creates award‑winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people‑first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you!

ABOUT THE ROLE

We are looking for a GCP Cloud Engineer to architect and manage cloud infrastructure using GKE, Cloud Run, and Terraform. This person leads a dedicated AWS‑to‑GCP migration workstream, assessing source workloads, defining target architectures, and driving production cutover. Strong CI/CD experience with Azure DevOps and scripting in Python, Bash, or PowerShell rounds out the role.

WHAT YOU WILL DO

• Architect, deploy, and maintain GCP cloud resources via Terraform or other automation.
• Implement Google Cloud Storage, Cloud SQL, and Filestore for data storage and processing needs.
• Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.
• Design and implement cloud networking, IAM, security, and landing‑zone components.
• Optimize resource allocation, monitoring, and cost efficiency across GCP environments.
• Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).
• Work with Helm charts for microservices deployments.
• Automate scaling, rolling updates, and zero‑downtime deployments.
• Move Kubernetes workloads across clouds where required, including AWS EKS to GKE.
• Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.
• Optimize containerized applications running on Cloud Run for cost efficiency and performance.
• Design, implement, and manage CI/CD pipelines using Azure DevOps.
• Automate infrastructure deployment using Terraform, Bash, and PowerShell scripting.
• Integrate security and compliance checks into the DevOps workflow (DevSecOps).
• Migrate or redesign existing pipelines as workloads move from AWS to GCP.
• Assess existing AWS infrastructure and workloads and define appropriate GCP target architectures.
• Plan and execute production AWS‑to‑GCP migration activities, including workload cutover and rollback planning.
• Plan and execute cross‑cloud data migration covering object storage, warehouses, and managed services.
• Support reliability, performance, scalability, and cost optimization during and after migration.
• Automate migration and operational activities using Python, Bash, PowerShell, Go, or platform tooling.
• Use AI coding assistants as a core part of daily engineering work — migration analysis, implementation, troubleshooting, and documentation.

FREQUENCY OF BENEFITS AND COMPENSATION

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: We match your ever‑growing skills, talent, and contributions with competitive USD‑based compensation and budgets for education, fitness, and team activities.
• A selection of exciting projects: Join projects with modern solutions development and top‑tier clients that include Fortune 500 enterprises and leading product brands.
• Flextime: Tailor your schedule for an optimal work‑life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

We are an equal opportunity employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law.