Description:

Build and maintain the identity graph that helps businesses verify identities in real-time.
Set technical direction and own complex problems across Engineering, Data Science, Product, and Security.

Requirements:

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
7+ years of experience in distributed systems, with at least 2 years at Staff or Senior Staff level.
Proven experience with Spark, Kafka, or Flink in production environments.
Experience in low-latency API development and tuning.
Familiarity with graph technologies and entity resolution.
Proficient in AWS, Kubernetes, CI/CD, and observability practices.
Experience with ML data pipelines and orchestration tools.
Demonstrated technical leadership and mentoring capabilities.

Opportunity to work on impactful projects in identity verification and fraud prevention.
Collaborative environment with a focus on innovation and high standards.

Skills