GCP Cloud Engineer ID89421

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Why join us

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :)

About the role

We are looking for a GCP Cloud Engineer to architect and manage cloud infrastructure using GKE, Cloud Run, and Terraform. This person leads a dedicated AWS-to-GCP migration workstream, assessing source workloads, defining target architectures, and driving production cutover. Strong CI/CD experience with Azure DevOps and scripting in Python, Bash, or PowerShell rounds out the role.

What you will do

Cloud Infrastructure

Architect, deploy, and maintain GCP cloud resources via Terraform or other automation.

Implement Google Cloud Storage, Cloud SQL, and Filestore for data storage and processing needs.

Manage and configure Cloud Load Balancers (HTTP(S), TCP/UDP, and SSL Proxy) for high availability and scalability.

Design and implement cloud networking, IAM, security, and landing-zone components.

Optimize resource allocation, monitoring, and cost efficiency across GCP environments.

Kubernetes & Serverless

Deploy, manage, and optimize workloads on Google Kubernetes Engine (GKE).

Work with Helm charts for microservices deployments.

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

Move Kubernetes workloads across clouds where required, including AWS EKS to GKE.

Deploy and manage applications on Cloud Run and Cloud Functions for scalable, serverless workloads.

Optimize containerized applications running on Cloud Run for cost efficiency and performance.

CI/CD & DevOps

Design, implement, and manage CI/CD pipelines using Azure DevOps.

Automate infrastructure deployment using Terraform, Bash, and PowerShell scripting.

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

Migrate or redesign existing pipelines as workloads move from AWS to GCP.

AWS-to-GCP Migration

Assess existing AWS infrastructure and workloads and define appropriate GCP target architectures.

Plan and execute production AWS-to-GCP migration activities, including workload cutover and rollback planning.

Plan and execute cross-cloud data migration covering object storage, warehouses, and managed services.

Support reliability, performance, scalability, and cost optimization during and after migration.

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

Use AI coding assistants as a core part of daily engineering work — migration analysis, implementation, troubleshooting, and documentation.

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.

Perks

Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget

Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews

Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm

Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands

Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized

Well-being & support: access local well-being programs and people-focused support tailored to your location

Meet Our Recruitment Process

Asynchronous stage – An automated, self-paced track that helps us move faster and give you quicker feedback:

Short online form to confirm basic requirements

30–60 minute skills assessment via Codility – a platform founded in Poland that helps us provide quicker feedback and streamline this stage of the process.

5-minute introduction video

Synchronous stage – Live interviews

Technical interview with our engineering team (scheduled at your convenience)

Final interview with your future teammates

If it’s a match — you’ll get an offer!