Overview
Job details
Full-time hours
Per the ad.
Fully remote
Per the ad.
Requirements
Have 4+ years of experience
Mid-level role.
Pay & benefits
What you'll get
- 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
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'll do
- 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.
- 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.
- 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.
- 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.
Requirements
What we're looking for
- 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 have
- 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.
About AgileEngine
AgileEngine is a custom software engineering company that builds digital products for clients across industries such as fintech, healthcare, retail, and media. With a global team of over 1,000 engineers and a presence in the Americas, Europe, and Asia, the company is known for its agile delivery model and expertise in AI, cloud, and enterprise integrations. It operates as a technology partner for both startups and large enterprises, offering end-to-end product development, from strategy to maintenance.
In Spain, AgileEngine has a growing team of engineers and specialists, with roles spanning AI, data, security, and platform engineering. The company promotes a remote-first culture, allowing professionals to work from anywhere in Spain while collaborating with international teams. For international hires, AgileEngine offers competitive compensation, professional development opportunities, and a diverse, English-speaking work environment, making it an attractive option for tech talent looking to relocate to Spain.
- Industry
- Software Engineering
- Founded
- 2009
- Employees
- 1,000–5,000
- Headquarters
- Washington, D.C., USA
- Website
- agileengine.com
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