Principal Software Engineer - Identity Graph
TwilioWho we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to remote-first work, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
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See yourself at Twilio
Join the team as a Principal Software Engineer for Stytch, where you'll shape the next generation of identity storage, relationship tracking and resolution.
About the job
As a Principal Software Engineer, you will serve as the technical anchor for a brand new, 0-1 initiative: building an Identity Graph on the Fraud & Risk teams. This foundational platform will synthesize data across multi-cadence sources to provide real-time identity resolution across multiple use cases. You will take early-stage concepts and POCs, wrangle ambiguity, and actively clarify boundaries to turn them into an actional MVP. In this role you will help own the platform's technical direction, creating a clean separation between the graph substrate and downstream consumers. You’ll partner closely with product management, architect and engineering leadership to drive cross-team alignment and manage stakeholder expectations. This is a rare change to operate like a startup within Twilio: you’ll work in a high-ownership environment with startup speed, backed by Twilio’s reach and scale.
Responsibilities
- Own the technical vision and system architecture for Identity Graph - evaluating and selecting the optimal technology stack to store complex identifiers and their relationships.
- Design, implement, and maintain high-performance, synchronous read models capable of serving identifier topologies and risk postures fast enough for real time risk decisions.
- Build out complex data pipelines optimized for multi-cadence hydration, margin real-time dynamic events, periodic batch enrichments and static reference data
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