GCP Cloud Engineer ID89421

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.

RECRUITMENT PROCESS

1. Application — Share a few details about your experience and background.

2. Coding Challenge — If applicable, complete it in the coding language you are most comfortable with.

3. Video Interview — Record a short video introduction in English.

4. Technical Interview or Hiring Manager Interview — Discuss your experience and fit for the role.

5. 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.

Requirements
Required Skills & Qualifications Experience: 4+ years in Cloud Engineering, with a focus on GCP. Cloud Expertise: Strong knowledge of GCP services (GKE, Compute Engine, IAM, VPC, Cloud Storage, Cloud SQL, Cloud Functions, Cloud Run, Cloud Load Balancing). Kubernetes & Containers: Experience with GKE, Docker, GKE networking, and Helm. DevOps Tools: Hands-on experience with Azure DevOps for CI/CD pipeline automation. Infrastructure-as-Code (IaC): Expertise in Terraform for provisioning cloud resources. Scripting & Automation: Proficiency in Python, Bash, or PowerShell for automation. Security & Compliance: Knowledge of cloud security principles, IAM, and compliance standards. Migration Track Record: 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. AI-Assisted Engineering: Comfortable delivering production-quality code with Claude Code, Cursor, GitHub Copilot, Codex, or comparable AI coding assistants.