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. 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. 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. 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. Meet Our Recruitment Process Each step helps us understand your skills and overall fit. If it's a match, you'll receive an offer. #J-18808-Ljbffr

📌 Ingeniero/a Cloud GCP (Galicia)
🏢 AgileEngine
📍 Galicia