GCP Cloud Engineer ID89421

AgileEngine; Thiruvananthapuram; Hybrid; INR 1,500,000 - 4,000,000; Full time

Benefits offered by this job

Remote work

Local presence in India

Competitive INR compensation

Learning & wellness support

Job summary

AgileEngine is seeking a GCP Cloud Engineer to architect and manage GCP infrastructure while leading an AWS-to-GCP migration workstream. You will own cloud architecture, Kubernetes, CI/CD, automation, and production migration.

The role requires hands-on GCP, GKE, Terraform, and Azure DevOps experience, plus direct AWS-to-GCP migration involvement. Remote work is available with local presence in India and competitive INR compensation.

Qualifications

• 4+ years in Cloud Engineering with a focus on GCP.

Responsibilities

• 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.

Skills

GCP Cloud Engineering

GKE

Terraform

Azure DevOps

AWS-to-GCP migration

Python

Bash/PowerShell

IAM & security

CI/CD automation

Go

Tools

Docker

Helm

Kubernetes

Cloud Run

Cloud Functions

Databricks

BigQuery

Terraform

Job description

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.
• 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.

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.