cloud engineer for AWS-to-GCP migration

HireHi; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Education budget

Fitness budget

Mentorship program

Job summary

HireHi ищет опытного инженера облаков для архитектуры, развёртывания и поддержки решений на платформе GCP. В обязанности войдет настройка инфраструктуры, автоматизация развёртываний и миграционные проекты между облаками.

Требуется знание Terraform, опыт работы с GKE, Cloud Run и Cloud Functions, а также навыки программирования (Python/Bash/Go). Упор на cost-эффективность и безопасность.

Qualifications

• Требуется опыт разработки в GCP и управлением ресурсами через Terraform.
• Навык программирования на Python, Bash или аналогичных языках для автоматизации.
• Опыт CI/CD и инструментов облачной инфраструктуры (Azure DevOps, Terraform).
• Опыт миграций и оптимизации расходов в облаке будет преимуществом.

Responsibilities

• Разрабатывать и поддерживать инфраструктуру в GCP, включая IAM, сеть и балансировку.
• Настраивать CI/CD пайплайны и автоматизацию развёртываний.
• Переключать рабочие нагрузки между GCP и AWS/многокластерные миграции.

Skills

GCP-экспертиза

Terraform

Python

Azure DevOps

Go

Tools

GKE

Cloud Run

Cloud Functions

Docker

Azure DevOps

Job description

Описание:

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