GCP Architect, Platform Engineer – Enterprise Cloud & AI Platform
United States
Full Time
4 hours ago
Key skills
CloudGoogle Cloud PlatformKubernetesPythonTerraformGoBashAIGenAIGeminiGCPGoogle CloudGKEIAMVertex AICI/CDCollaborationCloud Security
About this role
Role Overview
- Design and maintain enterprise GCP landing zones aligned with governance and security standards
- Build and operate shared cloud services supporting both AI and non-AI workloads
- Implement Infrastructure as Code (Terraform) for platform, networking, and AI service enablement
- Enable secure hybrid connectivity and controlled data access patterns
- Engineer and operate GKE clusters for application and AI inference workloads
- Standardize containerized deployment patterns using approved base images
- Support GPU-enabled workloads where required
- Enable scalable deployment of AI APIs and services
- Enable and operate approved Google AI services, including: Vertex AI, Gemini APIs, and other managed GenAI services
- Implement secure access controls, networking, and monitoring for AI services
- Partner with Data & AI teams to operationalize AI workloads safely and compliantly
- Build secure CI/CD pipelines for cloud and AI workloads
Requirements
- 5+ years of experience in cloud, platform, or DevOps engineering
- Strong hands-on experience with Google Cloud Platform
- Expertise in Terraform and Infrastructure as Code
- Experience operating Kubernetes (GKE) in enterprise environments
- Proficiency in scripting (Python, Bash, or Go)
- Strong understanding of cloud security, IAM, and networking
- Experience working in regulated or highly governed environments
Tech Stack
- Cloud
- Google Cloud Platform
- Kubernetes
- Python
- Terraform
- Go
Benefits
- Global & Multicultural – Diverse perspectives, global collaboration (US, Portugal, India and Singapore offices)
- Startup Energy – Fast-moving, impact-driven environment
- Ownership Mindset – Engineers own what they build
- Collaborative & Friendly – Open, curious, and supportive culture