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AgileEngine

GCP Cloud Engineer ID89421

AgileEngine

Noida, Uttar Pradesh, India
Full-Time
Posted 5 days ago

Job Description & Responsibilities

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.

RECRUITMENT PROCESS

  • Application — Share a few details about your experience and background.
  • Coding Challenge — If applicable, complete it in the coding language you are most comfortable with.
  • Video Interview — Record a short video introduction in English.
  • Technical Interview or Hiring Manager Interview — Discuss your experience and fit for the role.
  • Offer — If it’s a match, you’ll receive an offer.

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.

Required Skills

PythonGoAWSAzureGCPDockerKubernetesSQLCI/CDTerraform

Job Details

Employment TypeFull-Time
Work ModeRemote
Experience4 – 9 years
Positions1

Posted by

N/A

Posted on:

4 Oct 2026

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