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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GCP Cloud Engineer ID89421 - **Company:** Solicitante De Empleo - **Location:** Valladolid, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Proxy Servers, Microsoft Azure, Bash Shell, BigQuery, Cloud Computing, Cloud Computing Security, Cloud Database, Cloud Engineering, Cloud Storage, Continuous Integration, Cursor, DevOps, HTTP Secure, Identity and Access Management, Python (Programming Language), Performance Tuning, Windows PowerShell, Transmission Control Protocol (TCP), Scripting, Load Balancing, Data Storage Technologies, GitHub Copilot, System Availability, Claude Code, Kubernetes Helm Charts, Multi-Cloud, AI Coding Agents, Amazon Virtual Private Cloud (VPC), Agentic-AI, Kubernetes, Infrastructure Automation Frameworks, Google Cloud Functions, Data Management, Terraform, Devsecops, Serverless Computing, AWS EKS, Docker, Databricks, Golang, Microservices - **Published:** October 2, 2026 - **Apply:** https://www.recruit.net/job/gcp-cloud-engineer-id-jobs/158AB971576B1389 ## About the Role If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!, 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. ## Description Gain full access to exclusive job listings from leading companies worldwide. * Verified, High-Quality Jobs Only No ads, scams, or junk-just genuine opportunities. * Focus on Real Opportunities Explore thousands of open positions tailored to your lifestyle, including flexible remote jobs. * Exclusive Resume Review Receive expert feedback with personalized suggestions to enhance your resume., 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. ## Related Videos - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [".Net is too slow" was not an option](https://www.wearedevelopers.com/videos/100176-net-is-too-slow-was-not-an-option) - [The Cloud is Calling: Answer with In-Demand Skills](https://www.wearedevelopers.com/videos/945-the-cloud-is-calling-answer-with-in-demand-skills) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [Got AI ideas but no money? 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