Staff Backend Graph Engineer

Quick Facts

Staff Backend Graph Engineer — build and lead the identity graph platform that links billions of signals in real time for fraud prevention and identity trust.

Description

Own end-to-end technical direction for the platform behind real-time identity decisions. You will lead entity resolution at scale, design batch and real-time pipelines, build low-latency APIs, and ship production systems that power fraud intelligence and graph-based ML inference.

Responsibilities

• Define graph schemas, relationships, and ontology for consistent, extensible identity data
• Own entity resolution across messy, sparse, and adversarial data sources
• Design batch and real-time pipelines and low-latency serving systems for heavy load
• Ship production systems behind ML features, model inference, and graph analytics
• Improve performance, reliability, and cost with measurable results
• Lead architecture decisions, document tradeoffs, and drive rollouts to production
• Mentor engineers and set standards for design reviews, testing, CI/CD, and operations
• Build privacy, security, and PII protection into every system from day one

Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field
• 7+ years building and running distributed systems in the cloud; at least 2 years at Staff or Senior Staff scope (or equivalent)
• Quantifiable production impact (latency, reliability, or cost)
• Deep Spark, Kafka, or Flink experience in both batch and streaming, including production debugging
• Experience building and tuning low-latency APIs where milliseconds matter
• Graph or entity-resolution experience (connected data modeling and record matching across noisy sources)
• AWS and operations fluency: Kubernetes, infrastructure as code, CI/CD, and production observability
• ML data pipeline experience (Databricks, SageMaker, or similar) and orchestration with Airflow or equivalent
• Technical leadership: led ambiguous cross-team work and mentored engineers through influence and design docs

Benefits

Not specified in the provided posting.