Staff Backend Graph Engineer
Core
Design and maintain the real-time identity graph that links billions of signals to verify user identities and prevent fraud for businesses and governments.
Role type
Staff Backend Graph Engineer
Builds
Production identity graph platform, low-latency APIs, and real-time data pipelines
Domain
Identity verification, fraud prevention, distributed systems
Deliverable
production ML models
Required skills
Distributed systems design, Entity resolution, Graph databases, Real-time data streaming, Low-latency API design, Cloud infrastructure, Technical leadership, System reliability, Data privacy, Mentoring
Preferred skills
Fraud detection domain experience, ML data pipeline orchestration
Technologies
Java, Scala, Python, Spark, Kafka, Flink, Airflow, AWS, Neo4j, Amazon Neptune
Responsibilities
Define graph schemas and ontology, own entity resolution at scale, design batch and real-time pipelines, build systems for ML model inference, improve system performance and cost, lead architecture decisions, mentor engineers, build privacy and security controls
Seniority
Staff, hands-on IC with technical leadership
