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# Ingeniero/a Cloud GCP ID89421

- **Company:** Número De
- **Location:** Spain
- **Contract:** Permanent contract
- **Skills:** Amazon Elastic Compute Cloud, Proxy Servers, Microsoft Azure, Bash Shell, Cloud Computing, Cloud Computing Security, Cloud Database, Cloud Engineering, Cloud Storage, Continuous Integration, DevOps, HTTP Secure, Identity and Access Management, Python (Programming Language), Windows PowerShell, Transmission Control Protocol (TCP), Google Cloud, Load Balancing, Data Storage Technologies, System Availability, Kubernetes Helm Charts, Amazon Virtual Private Cloud (VPC), Kubernetes, Infrastructure Automation Frameworks, Google Cloud Functions, Terraform, Devsecops, Serverless Computing, Docker, Microservices
- **Published:** October 9, 2026
- **Apply:** https://www.adzuna.es/details/5919582609

## 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).
 - 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.
 - Upper-intermediate English level.

## Description

We are looking for a GCP Cloud Engineer to design, implement, and manage scalable cloud infrastructure and CI/CD solutions on Google Cloud Platform., Architect, deploy, and maintain GCP cloud resources via terraform/other automation.

 - Implement Google Cloud Storage, Cloud SQL, 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.
 - 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.
 - 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).