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September 28, 2026

GCP Cloud Engineer

Senior • Remote

Kraków, Poland

Quick Facts

  • Role: GCP Cloud Engineer

  • Focus: GCP infrastructure, Kubernetes, serverless, and AWS-to-GCP migration

Description

Architect, deploy, and maintain GCP cloud infrastructure and workloads using Terraform, GKE, and Cloud Run. Lead an AWS-to-GCP migration workstream by assessing source workloads, defining target architectures, and driving production cutover with rollback planning. Build and manage CI/CD pipelines with Azure DevOps and automate infrastructure and operations using Python, Bash, or PowerShell.

Responsibilities

  • Architect, deploy, and maintain GCP resources via Terraform and automation

  • Implement data storage/processing with Cloud Storage, Cloud SQL, and Filestore

  • Configure Cloud Load Balancers (HTTP(S), TCP/UDP, SSL Proxy) for high availability and scalability

  • Design cloud networking, IAM, security, and landing-zone components

  • Optimize monitoring, resource allocation, and cost efficiency across GCP

  • Deploy and manage workloads on GKE using Helm charts

  • Automate scaling, rolling updates, and zero-downtime deployments

  • Move Kubernetes workloads across clouds (AWS EKS to GKE)

  • Deploy and manage applications on Cloud Run and Cloud Functions

  • Optimize Cloud Run container performance and cost efficiency

  • Design and manage CI/CD pipelines with Azure DevOps

  • Automate infrastructure deployment using Terraform and scripting (Bash/PowerShell)

  • Integrate security and compliance checks into the DevOps workflow (DevSecOps)

  • Plan and execute production AWS-to-GCP migration, including cutover and rollback planning

  • Support cross-cloud data migration across object storage, warehouses, and managed services

  • Automate migration and operational activities using Python, Bash, PowerShell, Go, or platform tooling

  • Use AI coding assistants for migration analysis, implementation, troubleshooting, and documentation

Requirements

  • 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

  • Hands-on experience with GKE, Docker, GKE networking, and Helm

  • 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

  • Hands-on involvement in at least one real AWS-to-GCP migration (able to explain what was migrated and what broke)

  • Ability to deliver production-quality code using AI coding assistants (e.g., Claude Code, Cursor, GitHub Copilot, Codex)

  • Upper-intermediate English level

Benefits

  • Mentorship, TechTalks, and personalized growth roadmaps

  • Competitive USD-based compensation and budgets for education, fitness, and team activities

  • Flexible schedule with remote and office options

  • Projects with Fortune 500 enterprises and leading product brands

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