Principal Software Engineer - Identity Graph

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.
• Bake in strict privacy boundaries and secure PII handling from day 1.
• Partner closely with product and engineering leadership to manage expectations, set direction, and turn initial concepts into actionable plans,
• Collaborate across Twilio and Stytch teams to align on architecture, integrate platform capabilities and unblock cross-team initiatives.
• Wrangle ambiguity and execute with a bias for action in grey areas - proactively breaking down undefined problems, making pragmatic architectural trades offs and helping write requirements instead of waiting for them 
• Establish strong production quality, resilience and observability standards for a large-scale data and distributed graph platform.
• Deeply collaborate with the engineering team, prioritizing mentorship, knowledge-sharing, and pairing to elevate the team’s technical bar while actively bringing others along with you.

Qualifi