GCP Cloud Engineer ID89421

AgileEngine, LLC.; Bengaluru Urban; Hybrid; INR 4,000,000 - 6,000,000; Full time

Benefits offered by this job

Remote work

Local presence in India

Competitive INR compensation

Exciting projects

Job summary

AgileEngine, LLC. in Bengaluru seeks a GCP Cloud Engineer to architect and manage GCP infrastructure while leading an AWS-to-GCP migration workstream, blending cloud architecture, Kubernetes, CI/CD, automation, and production migration ownership.

Hands-on with GCP services, Terraform provisioning, Azure DevOps CI/CD, and real migration experience are required; remote options and INR compensation for India are offered alongside exciting projects.

Qualifications

• 4+ years of Cloud Engineering experience focused on GCP.
• Strong knowledge of GCP services including GKE, Compute Engine, IAM and more.
• GKE, Docker, GKE networking, and Helm experience.
• Hands-on Azure DevOps for CI/CD automation.
• Terraform expertise for provisioning resources.
• Automation skills in Python/PowerShell/Bash.
• Experience with AWS-to-GCP migration and security/compliance basics.
• Ability to explain what was migrated and what broke.

Responsibilities

• Architect, deploy, and maintain GCP infrastructure with Terraform.
• Deploy and optimize containers/serverless workloads using GKE, Docker, Helm, Run, and Functions.
• Design and maintain Azure DevOps CI/CD pipelines with security checks.
• Lead AWS-to-GCP migration activities from assessment to cutover.
• Support reliability, performance, and cost optimization during migration.
• Automate migration activities with Python/Bash/PowerShell/Go.
• Use AI coding assistants in daily engineering work.

Skills

GCP

GKE

Terraform

Azure DevOps

Python

Automation

Cloud security

AWS-to-GCP migration

Tools

Docker

Helm

Go

PowerShell

Bash

GitHub Copilot

Job description

We are looking for a GCP Cloud Engineer to architect and manage GCP infrastructure while leading an AWS-to-GCP migration workstream. This role combines cloud architecture, Kubernetes, CI/CD, automation, and production migration ownership.

The mandatory requirements are 4+ years of Cloud Engineering experience focused on GCP, strong GKE and Terraform expertise, hands-on Azure DevOps CI/CD experience, and direct experience with a real AWS-to-GCP migration.

WHAT YOU’LL GAIN

• Remote work — Work from where you feel most productive.
• Local presence in India — Work in a structured and compliant environment aligned with Indian regulations.
• Competitive compensation in INR — Receive compensation in INR, plus support for learning, education, and wellness.
• Exciting projects — Work with modern technologies for global clients and fast-growing companies.

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.

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.

WHAT YOU WILL DO

• Architect, deploy, and maintain GCP infrastructure using Terraform, including storage, databases, networking, IAM, security, load balancing, and landing-zone components.
• Deploy and optimize containerized and serverless workloads using GKE, Docker, Helm, Cloud Run, and Cloud Functions.
• Design and maintain Azure DevOps CI/CD pipelines, automate infrastructure deployments, and integrate security and compliance checks into delivery workflows.
• Lead AWS-to-GCP migration activities, including workload assessment, target architecture, production cutover, rollback planning, and cross-cloud data migration.
• Support reliability, scalability, performance, monitoring, and cost optimization across GCP environments during and after migration.
• Automate migration and operational activities using Python, Bash, PowerShell, Go, or platform tooling.
• Use AI coding assistants in daily engineering work for migration analysis, implementation, troubleshooting, and documentation.