About the Role

We are looking for a Cloud Engineer (GCP) 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.
- Solid 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

- Remote work & Local connection: Work where you feel most productive and connect with your team in periodic meet-ups to strengthen your network and connect with other top experts.
- Legal presence in India: We ensure full local compliance with a structured, secure work environment tailored to Indian regulations.
- Competitive Compensation in INR: Fair compensation in INR with dedicated budgets for your personal growth, education, and wellness.
- Innovative Projects: Leverage the latest tech and create cutting-edge solutions for world-recognized clients and the hottest startups.

📌 Cloud Engineer (GCP) (India)
🏢 AgileEngine
📍 India