Architects and manages GCP infrastructure while leading AWS-to-GCP migrations. Responsibilities include Terraform provisioning, GKE and containerized workload deployment, Azure DevOps CI/CD automation, cloud security and compliance integration, production cutovers, rollback planning, monitoring, reliability, cost optimization, and cross-cloud data migration. The role also automates operational tasks with scripting languages and uses AI coding assistants for implementation, troubleshooting, and documentation.
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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