GCP Cloud Engineer — AWS-to-GCP Migration Expert (Flexible)
AgileEngine, LLC.
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Descripción de la vacante
AgileEngine is seeking a skilled GCP Cloud Engineer to architect and manage cloud infrastructure using GKE, Cloud Run, and Terraform. This role leads AWS-to-GCP migration workstreams, analyzes workloads, defines target architectures, and drives production cutover with strong CI/CD using Azure DevOps.
You will implement storage, networking, IAM, security, and cost optimization across GCP, deploy serverless workloads, and collaborate with AI-assisted tooling to deliver reliable, scalable solutions
Formación
- 4+ years in Cloud Engineering focused on GCP.
- Deep experience with GCP services: GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Run.
- Hands-on with GKE, Docker, GKE networking, and Helm.
- Azure DevOps for CI/CD automation.
- Terraform for provisioning resources.
- Python, Bash, or PowerShell for automation.
- Cloud security, IAM, and compliance knowledge.
- Hands-on AWS-to-GCP migration experience.
Responsabilidades
- 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 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 Kubernetes Engine (GKE).
- Work with Helm charts for microservices deployments.
- Automate scaling, rolling updates, and zero-downtime deployments.
- Move Kubernetes workloads across clouds (AWS EKS to GKE).
- Deploy and manage apps on Cloud Run and Cloud Functions; optimize cost/perf.
Conocimientos
Herramientas
Descripción del empleo
AgileEngine is seeking a skilled GCP Cloud Engineer to architect and manage cloud infrastructure using GKE, Cloud Run, and Terraform. This role leads AWS-to-GCP migration workstreams, analyzes workloads, defines target architectures, and drives production cutover with strong CI/CD using Azure DevOps.
You will implement storage, networking, IAM, security, and cost optimization across GCP, deploy serverless workloads, and collaborate with AI-assisted tooling to deliver reliable, scalable solutions
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