Senior Backend Engineer, Identity Graph at Scale

Engg

United States

Remote

USD 150,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Unlimited PTO
Excellent medical, dental, and vision
Employee Equity
Employee Discounts
Virtual Wellness Classes
Pet Insurance

Job summary

Zeta Global is seeking a Senior Software Engineer to help scale the Identity Graph backend. You will design and build backend services and APIs for identity resolution, graph transparency, and platform integrations.

Join a cloud-native, multi‑year roadmap, deploy on EKS/Kubernetes, and mentor engineers while ensuring reliability, observability, and performance for billions of signals per month. Experience with Kafka and Spark is required, as is strong Python/Java/Scala skills.

Qualifications

  • 5+ years of backend and/or data engineering at enterprise scale.
  • Strong programming skills in Python, Java, or Scala, with API design and distributed systems expertise.
  • Experience with Kafka, streaming frameworks, and schedulers (Airflow/Luigi).
  • Proficiency with Kubernetes (EKS) and AWS cloud deployment practices.

Responsibilities

  • Design and build backend services and APIs for identity resolution, graph transparency, and platform integrations.
  • Optimize event-driven pipelines processing billions of signals.
  • Deploy and operate cloud-native services on EKS/Kubernetes using Helm.
  • Ensure reliability, observability, and scalability across services and data pipelines.

Skills

API design
Distributed systems
Backend engineering
Data engineering

Tools

Kafka
Spark
Flink
Airflow
Luigi
Kubernetes (EKS)
AWS

Job description

Zeta Global is seeking a Senior Software Engineer to help scale the Identity Graph backend. You will design and build backend services and APIs for identity resolution, graph transparency, and platform integrations.

Join a cloud-native, multi‑year roadmap, deploy on EKS/Kubernetes, and mentor engineers while ensuring reliability, observability, and performance for billions of signals per month. Experience with Kafka and Spark is required, as is strong Python/Java/Scala skills.

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