Modernizing APIs at scale is more than just a technical upgrade—it’s a careful balance of architectural vision, legacy constraints, developer experience, and uninterrupted business operations. In this session, I’ll share practical insights from leading API transformation efforts in a high-volume environment handling over 500 billion daily calls.
We’ll dive into our journey from legacy SOAP-based APIs to a modern GraphQL interface that has enhanced developer agility, enabled schema-driven development, and improved system resilience. I’ll also cover how we modernized a tightly coupled data layer spanning 200+ services with unclear ownership—executing a seamless migration with zero downtime.

The talk will also explore how AI is accelerating both internal modernization and external API innovation. We use AI tools to map service dependencies, identify refactoring targets, and auto-generate documentation. On the customer side, APIs now power features like the “Magical Listing Experience,” where sellers generate product listings from just an image using AI-driven vision and language models.

Attendees will take away strategies for refactoring APIs, implementing GraphQL effectively, leveraging AI for transformation, and preserving platform stability—no matter the size of the system. This session delivers actionable insights for anyone driving large-scale API evolution.