Cloud Platforms
- Google Cloud Platform
- AWS (Starting)
Hi, I'm
Sergi Serra
Cloud Engineer & Architect
I build robust and scalable cloud solutions, with attention to security using Google Cloud
About me
IT professional specialized in Cloud solutions on Google Cloud Platform, with a proven track record leading critical migrations and designing scalable, high-availability architectures.
I get fully involved in every project, with strong attention to detail and to the client's real needs. I enjoy the didactic side of my work: answering questions and guiding teams so they get the most out of Google Cloud Platform. I combine this way of working with a constant interest in AI applied to the cloud and automation.
In a nutshell
- Specialist in cloud infrastructure
- +4 years of experience in Google Cloud Platform
- Specialized in migrating workloads to the cloud
- Focus on applying best practices in security
Skills & technologies
These are some of the technologies and tools I work with.
Tools & DevOps
- Terraform
- Git&GitHub
- Docker
- Kubernetes
- GitHub Actions
- AI
- Bash Scripting
- Artifact Registry
OS
- Linux
- Windows
Learning & interested in...
- AWS (Starting)
- Ansible
- Argo CD
- Prometheus & Grafana
- Azure
Certifications
Official Google Cloud certifications. All verifiable on my public Credly profile.
- Associate Cloud Engineer
- Professional Cloud Architect
Renewed 2026 - Professional Cloud Network Engineer
Renewed 2026 - Professional Cloud DevOps Engineer
- Professional Cloud Security Engineer
- Professional Cloud Developer
- Professional Cloud Database Engineer
- HashiCorp Certified: Terraform Associate (003)
Expired
Projects
A selection of projects I've worked on and led:
Migration of workloads to Google Cloud Platform
VM migrations to Google Cloud Platform. Implement security measures and best practices. Migrations completed with 100% success.
Reverse Engineering with Terraform
Reverse engineering of existing resources on GCP with Terraform. Extraction of configuration and generation of Terraform files for infrastructure as code. Subsequently, developing a tool with AI to simplify the process for both GCP and AWS.
Design and implementation of Landing Zones
Design and implementation of Landing Zones on GCP. Network design and configuration, interconnection with on-premises, identity and access management, and security best practices.
Security assessment and best practices on cloud platform
Security assessment and best practices on GCP. Review configurations and apply the corresponding corrective measures.
Deployment of security appliances on GCP
Deployment of Fortinet and Palo Alto security appliances on GCP. Network configuration, firewall rules, and integration with existing infrastructure.
Vibe Coding
This website —and other projects on my GitHub— is developed with the help of artificial intelligence. I believe in transparency: I don't hide my use of AI, I present it as a skill I'm proficient in. The value isn't in "generating code", but in directing the tools with technical judgment, defining good requirements and verifying the result.
Real workflow & stack
The workflow I used to ship this very website:
Prompt
fullstack-developer Prompt-driven orchestration
ui-designer Specialized agents in a pipeline
qa-agent Verification & human control
Deployment
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Prompt-driven orchestration
I defined the requirements in natural language: an Astro website, multilingual (CA/EN/ES), light/dark mode, LinkedIn and GitHub links, a professional IT-focused design, accessible and responsive.
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Specialized agents in a pipeline
Kiro CLI orchestrated several AI agents in sequence: full-stack development → UI/UX design → QA. Each agent specialized in its own task.
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Verification & human control
Clean build (Astro), automated visual testing with Playwright and an accessibility review (AA contrast, semantic HTML). The final decision and validation are human.
Other vibe-coded projects
Other projects on my GitHub built with this same approach: