Staff Backend Graph Engineer (Identity Graph)

Location: Remote - USA. Hub: Seattle.

Salary: $225K–$250K, plus bonus.

Company

hirify.global builds identity trust infrastructure that verifies identities in real time and helps businesses and governments prevent fraud.

What you will do

• Define schemas, relationships, and ontology for a consistent, extensible identity graph.
• Design entity-resolution systems that connect people, records, devices, addresses, emails, and phones across noisy and adversarial data.
• Build batch and real-time pipelines, low-latency APIs, serving systems, and production infrastructure for high-volume workloads.
• Deliver systems supporting ML features, model inference, graph analytics, and fraud intelligence.
• Lead architecture decisions and initiatives from design through production, improving performance, reliability, and cost through measurable outcomes.
• Mentor engineers and establish strong standards for design reviews, testing, CI/CD, operations, privacy, security, and PII protection.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 7+ years building and operating distributed cloud systems, including at least 2 years at Staff or Senior Staff scope, or equivalent experience.
• Demonstrated production-scale ownership with measurable impact on latency, reliability, or cost, including end-to-end operational ownership and on-call responsibility.
• Deep production experience with Spark, Kafka, or Flink across batch and streaming workloads, including debugging in production.
• Experience building and tuning low-latency APIs where milliseconds matter.
• Experience with graph modeling, connected data, entity resolution, noisy-source record matching, or identity graphs.
• Fluency with AWS, Kubernetes, infrastructure as code, CI/CD, and production observability.
• Experience building ML data pipelines with Databricks, SageMaker, or similar tools and orchestrating them with Airflow or an equivalent.
• Technical leadership across ambiguous, cross-team initiatives, including mentoring and influencing system direction through design documentation.

Nice to have

• Experience with fraud prevention or identity verification.
• Experience with Neo4j or Amazon Neptune.

Culture & Benefits

• Remote full-time role for candidates in the USA, with Seattle as a hub.
• High-ownership environment focused on complex customer problems, technical precision, and measurable impact.
• Work spans Engineering, Data Science, Product, and Security.
• Bonus offered in addition to the stated salary range.
• Equal opportunity workplace with accommodations available during hiring and onboarding.