Ingeniero​/a Cloud GCP

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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 Dev Ops and scripting in Python, Bash, or Power Shell rounds out the role.

• 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.

• Design, implement, and manage CI/CD pipelines using Azure Dev Ops.
• Automate infrastructure deployment using Terraform, Bash, and Power Shell scripting.
• Integrate security and compliance checks into the Dev Ops workflow (Dev Sec Ops ).
• Migrate or redesign existing pipelines as workloads move from AWS to GCP.

• 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, Power Shell, Go, or platform tooling.
• Use AI coding assistants as a core part of daily engineering work — migration analysis, implementation, troubleshooting, and documentation.

• 4+ years in Cloud Engineering, with a focus on GCP
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• 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
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• Hands-on experience with Azure Dev Ops for CI/CD pipeline automation.
• Expertise in Terraform for provisioning cloud resources.
• Proficiency in Python, Bash, or Power Shell 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, Git Hub Copilot, Codex, or comparable AI coding assistants
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• Experience with GCP target data platforms such as Databricks or Big Query.
• Experience migrating network and infrastructure components, not only application workloads.
• Strong Go and/or…