Architects and manages GCP infrastructure using Terraform, including networking, storage, databases, IAM, security, and landing zones. Deploys containerized and serverless workloads with GKE, Docker, Helm, Cloud Run, and Cloud Functions. Designs Azure DevOps CI/CD pipelines with security controls, leads AWS-to-GCP migration planning and production cutovers, and supports reliability, monitoring, performance, and cost optimization. Automates operations using Python, Bash, PowerShell, or Go and uses AI coding assistants for engineering tasks.
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.
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