8+ years in cloud architecture roles, with at least 3 years specifically on Google Cloud Platform in an architect or lead capacity.
- Demonstrated experience designing and executing a live production migration from another hyperscaler (Azure or AWS) to GCP,
- Deep working knowledge of core GCP services relevant to this program: Cloud Run, Cloud SQL(Postgre SQL), Cloud Storage, Memory store, Vertex AI, Cloud Load Balancing, VPC/Shared VPC, IAM,Secret Manager, Cloud Trace/Monitoring.
- Working knowledge of the equivalent Azure services being replaced: Azure Open AI, Cosmos DB, Azure SQL Database, Blob Storage, Azure Cache for Redis, Application Insights.
- Experience with LLM-based application architectures, ideally including agent-orchestration frameworks such as LangGraph, LangChain and familiarity with the practical differences between LLM providers (prompt behavior, JSON-output reliability,
context-window/cost tradeoffs) when migrating between them.
- Experience designing data migration and dual-write/reconciliation strategies for production systems with zero-downtime requirements.
- Familiarity with Infrastructure-as-Code (Terraform preferred) and CI/CD orchestration (Harness preferred, or equivalent), sufficient to guide — not necessarily implement — the infrastructure engineering team.
- Robust stakeholder communication skills; comfortable presenting architecture trade-offs and risk to both technical and business audiences at phase-gate reviews.
- Good to have Google Cloud Professional Cloud Architect certification.
- Nice to have experience in evaluating or architecting with Google's Agent Development Kit (ADK),for informing future-state agent architecture decision
📌 GCP Architect (Vertex and Open AI) (Canada)
🏢 KPG99
📍 Canada
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