GCP Platform Engineer – Enterprise Cloud & AI Platform
United States
Full Time
2 hours ago
Key skills
BigQueryCloudGoogle Cloud PlatformKubernetesPythonTerraformGoBashAIMLGeminiGCPGoogle 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.
- Engineer and operate GKE clusters for application and AI inference workloads.
- Enable and operate approved Google AI services, including: Vertex AI, Gemini APIs, BigQuery ML.
- 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
- BigQuery
- 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