Job Description

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.