GCP Cloud Engineer ID89421

AgileEngine; San Carlos de Bariloche; Hybrid; ARS 182,771,000 - 228,464,000; Full time

Benefits offered by this job

Mentorship

Tech Talks

Growth roadmap

Flexible schedule

Competitive USD compensation

Job summary

AgileEngine seeks a seasoned GCP Cloud Engineer to architect and manage cloud infrastructure using GKE, Cloud Run, and Terraform. Lead AWS-to-GCP migration, assess workloads, define target architectures, and drive production cutover with strong CI/CD using Azure DevOps.

Requirements include 4+ years in Cloud Engineering, Terraform expertise, and Python/Bash scripting. Excellent English, with a focus on security and cost optimization. Flexible hybrid work options available.

Qualifications

• 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).
• Experience with GKE, Docker, GKE networking, and Helm.
• Hands-on 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.
• Demonstrated AWS-to-GCP migration involvement with concrete outcomes.
• Comfort delivering production-grade code with AI coding assistants.
• Upper-intermediate English level.

Responsibilities

• Architect, deploy, and maintain GCP resources via Terraform or other automation.
• Migrate AWS workloads to GCP with target architectures and cutover planning.
• Design and manage CI/CD pipelines using Azure DevOps.
• Automate infrastructure deployment with scripting (Python, Bash, PowerShell).
• Incorporate security and compliance checks into DevOps workflows (DevSecOps).
• Migrate or redesign pipelines as workloads move from AWS to GCP.

Skills

GCP Cloud Engineering

AWS-to-GCP migration

Terraform

Azure DevOps

Python/Bash/PowerShell

GKE & Kubernetes

Cloud security & IAM

English proficiency

AI coding assistants familiarity

Tools

Terraform

Azure DevOps

Docker

GKE

Helm

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

Cloud Infrastructure

• - 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.

Kubernetes & Serverless

• - 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.

CI/CD & DevOps

• - 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.

AWS-to-GCP Migration

• - 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.

MUST HAVES

• - 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).
• - Experience with GKE, Docker, GKE networking, and Helm .
• - Hands-on 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.
• - Demonstrated hands-on involvement in at least one real AWS-to-GCP migration — not just multi-cloud familiarity — with the ability to explain what was migrated and what broke.
• - Comfortable delivering production-quality code with Claude Code, Cursor, GitHub Copilot, Codex, or comparable AI coding assistants .
• - Upper-intermediate English level.

NICE TO HAVES

• - Experience with GCP target data platforms such as Databricks or BigQuery.
• - Experience migrating network and infrastructure components, not only application workloads.
• - Strong Go and/or Python engineering depth.
• - Experience leading large-scale cloud migration programs.
• - Experience with MCP, reusable AI Skills, or agentic AI workflows.
• - Cross-cloud cost and performance optimization experience.

PERKS AND BENEFITS

• - 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.