Job Description:
• 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.
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