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описание
GCP Cloud Engineer ID89421
AgileEngine creates award-winning software for Fortune 500 brands and startups across more than 17 industries, with expertise in application development and AI/ML.
задачи
Architect, deploy, and maintain GCP cloud resources using Terraform or other automation
Implement Google Cloud Storage, Cloud SQL, and Filestore for data storage and processing
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 GKE
Work with Helm charts for microservices deployments
Automate scaling, rolling updates, and zero-downtime deployments
Move Kubernetes workloads across clouds, including AWS EKS to GKE
Deploy and manage applications on Cloud Run and Cloud Functions
Optimize containerized applications 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
Integrate security and compliance checks into DevOps workflows
Migrate or redesign pipelines as workloads move from AWS to GCP
Assess existing AWS infrastructure and workloads and define GCP target architectures
Plan and execute production AWS-to-GCP migrations, including workload cutover and rollback planning
Plan and execute cross-cloud data migrations 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 for migration analysis, implementation, troubleshooting, and documentation
требования
4+ Years of Cloud Engineering experience, focused on GCP
Strong knowledge of GCP services, including GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions, Cloud Run, and 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
Hands-on involvement in at least one real AWS-to-GCP migration, with the ability to explain what was migrated and what broke
Ability to deliver production-quality code using Claude Code, Cursor, GitHub Copilot, Codex, or comparable AI coding assistants
Upper-intermediate English
Будет плюсом: experience with Databricks or BigQuery, migration of network and infrastructure components, 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
условия
Competitive USD-based compensation
Budgets for education, fitness, and team activities
Mentorship, TechTalks, and personalized growth roadmaps
Projects with modern solutions and top-tier clients, including Fortune 500 enterprises and leading product brands