The Role
Architects and manages GCP infrastructure using Terraform, GKE, Cloud Run, and related services. Leads AWS-to-GCP migration workstreams, including workload assessment, target architecture, data migration, production cutover, rollback planning, and pipeline redesign. Builds Azure DevOps CI/CD automation, implements cloud networking and security, optimizes reliability and cost, and uses Python, Bash, PowerShell, or Go for operational automation. Deploys containerized and serverless workloads while integrating DevSecOps practices and AI coding assistants.
Summary Generated by Built In
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
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 DevOps and scripting in Python, Bash, or PowerShell rounds out the role.
WHAT YOU WILL DO
Cloud Infrastructure
- 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.
Kubernetes & Serverless
- 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.
CI/CD & DevOps
- 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).
- Migrate or redesign existing pipelines as workloads move from AWS to GCP.
AWS-to-GCP Migration
- 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, PowerShell, Go, or platform tooling.
- Use AI coding assistants as a core part of daily engineering work — migration analysis, implementation, troubleshooting, and documentation.
MUST HAVES
- 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, Cloud Run, 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.
- 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, GitHub Copilot, Codex, or comparable AI coding assistants.
- Upper-intermediate English level.
NICE TO HAVES
- Experience with GCP target data platforms such as Databricks or BigQuery.
- Experience migrating network and infrastructure components, not only application workloads.
- 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 experience.
PERKS AND BENEFITS
- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Meet Our Recruitment Process
Application → Coding Challenge → Video Interview → Technical Interview or Hiring Manager Interview
Each step helps us understand your skills and overall fit.
If it’s a match, you’ll receive an offer.
Skills Required
- 4+ years of cloud engineering experience with a focus 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
- Hands-on experience with GKE, Docker, GKE networking, and Helm
- Hands-on experience with Azure DevOps for CI/CD pipeline automation
- Expertise with Terraform for provisioning cloud resources
- Proficiency in Python, Bash, or PowerShell for automation
- Knowledge of cloud security principles, IAM, and compliance standards
- Hands-on experience with at least one real AWS-to-GCP migration
- Experience delivering production-quality code with Claude Code, Cursor, GitHub Copilot, Codex, or a comparable AI coding assistant
- Upper-intermediate English proficiency
- Experience with GCP data platforms such as Databricks or BigQuery
- Experience migrating 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 experience
Am I A Good Fit?
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The Company
What We Do
AgileEngine is a privately held company established in 2010 that builds dedicated teams of designers and developers. We turn good ideas into awesome software that people actually want to use. Some of the biggest names and the hottest startups around the world chose us to build their tech.
