Senior Google Cloud Architect

Responsibilities: Design and implement enterprise-grade cloud architectures on GCP and define cloud adoption roadmaps Drive architecture reviews and ensure alignment with best practices and Well-Architected Framework Provide technical leadership for cloud-native development and modernization Architect and deploy AI/ML solutions leveraging Google Cloud AI services Design Generative AI, LLM, and RAG platforms and establish AI governance and model lifecycle management Design modern data platforms with scalable data pipelines, data lakes, and analytics Establish cloud security, identity management, governance controls, and regulatory compliance Drive cost optimization, operational excellence, and reliability initiatives Act as trusted advisor, mentor architects and engineers, support pre-sales, and lead cross-functional programs

Key requirements: 10+ years of IT experience 6+ years in Google Cloud Platform (GCP) Proven expertise in designing, deploying, and operating enterprise-scale cloud and AI solutions Experience with GCP services: GCE, GKE, Cloud Run, Cloud Functions, VPC, Networking, Load Balancing, Cloud Storage, Cloud SQL, BigQuery, Pub/Sub, Cloud Monitoring & Logging, IAM & Security Services, Terraform/IaC Proficiency with Vertex AI and Gemini Models, AutoML, AI Platform, Document AI, Vision AI, Speech-to-Text, Natural Language AI, AI Agents & Conversational AI Experience with Generative AI, LLMs, RAG, Vector Databases, LangChain or similar AI orchestration frameworks DevOps/Automation experience: CI/CD, GitHub/GitLab, Cloud Build, Docker, Kubernetes, MLOps Programming in Python (mandatory), Java or Go (preferred), SQL Preferred Google certifications: Professional Cloud Architect, Machine Learning Engineer, Data Engineer, Cloud DevOps Engineer Experience with enterprise cloud migration and modernization; multi-cloud exposure is a plus Industry experience in semiconductor, manufacturing, Hi-Tech, financial services, or retail Strategic thinking Strong communication Stakeholder management GCP core services (GCE, GKE, Cloud Run, Cloud Functions, VPC, Cloud Storage, Cloud SQL, BigQuery) Terraform / IaC Vertex AI and AI tooling (Gemini, AutoML, Document AI, Vision AI, Speech-to-Text, NLP, AI Agents)