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 USIf 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 ROLEWe 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 ProcessEach 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 Id89421 (Granada)
🏢 AgileEngine
📍 Granada