Lead Cloud Architect - Azure to Google Cloud Platform (GCP)

Job Summary: We are seeking an experienced Lead Cloud Architect to lead the migration of production applications from Microsoft Azure or AWS to Google Cloud Platform (GCP). The role requires deep GCP architecture expertise, hands-on experience designing hyperscaler migrations, and a strong understanding of LLM-based application architectures. The ideal candidate will define migration strategies, manage technical risks, guide infrastructure teams, and communicate architecture decisions to business and technical stakeholders. Key Responsibilities Design and lead production migrations from Azure or AWS to GCP, ensuring reliability, security, scalability, and minimal downtime. Define target-state cloud architecture, migration roadmaps, and technical standards. Design solutions using GCP services, including Cloud Run, Cloud SQL for PostgreSQL, Cloud Storage, Memorystore, Vertex AI, Cloud Load Balancing, VPC/Shared VPC, IAM, Secret Manager, Cloud Trace, and Cloud Monitoring. Assess existing Azure architectures and plan the migration of services such as Azure OpenAI, Cosmos DB, Azure SQL Database, Blob Storage, Azure Cache for Redis, and Application Insights. Design data migration, dual-write, validation, reconciliation, and cutover strategies for production systems with zero-downtime requirements. Architect LLM-based applications and evaluate differences between LLM providers, including prompt behavior, structured JSON output reliability, context windows, and cost. Assess agent-orchestration frameworks such as LangGraph and LangChain and contribute to future-state AI architecture decisions. Guide infrastructure engineering teams on Infrastructure-as-Code, Terraform, CI/CD pipelines, and deployment orchestration tools such as Harness. Define cloud security, IAM, networking, monitoring, observability, and operational readiness standards. Identify migration risks, technical dependencies, performance constraints, and cost-optimization opportunities. Present architecture decisions

trade-offs, and risks to technical teams, business stakeholders, and leadership during phase-gate reviews. Collaborate with application, data, AI/ML, security, and infrastructure teams throughout migration and deployment. Evaluate Google’s Agent Development Kit (ADK) for potential future agent-based architectures. Required Skills and Qualifications 10-15 years of overall IT experience, with 8+ years in cloud architecture roles. At least 3 years of experience designing and leading solutions on Google Cloud Platform. Demonstrated experience designing and executing a live production migration from Azure or AWS to GCP. Strong knowledge of core GCP services, including: Cloud Run, Cloud SQL (PostgreSQL), Cloud Storage, and Memorystore Vertex AI and Cloud Load Balancing VPC,d VPC, and IAM Secret Manager, Cloud Trace, and Cloud Monitoring Working knowledge of Azure services, including Azure OpenAI, Cosmos DB, Azure SQL Database, Blob Storage, Azure Cache for Redis, and Application Insights. Experience designing LLM-based application architectures and understanding the practical differences between LLM providers. Experience with production data migration, dual-write patterns, reconciliation, and zero-downtime migration strategies. Familiarity with Terraform and CI/CD orchestration tools such as Harness or equivalent. Strong stakeholder management and communication skills, including the ability to explain architecture trade-offs and risks to technical and business audiences. Preferred Qualifications Google Cloud Professional Cloud Architect certification. Experience evaluating or designing solutions with Google’s Agent Development Kit (ADK). Experience with LangGraph, LangChain, and agent-based application architectures. Experience leading complex, business-critical cloud migration programs.