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Zeta Global

AI-driven marketing platform for enterprises

Senior Software Engineer - Identity

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • At least 5 years of experience in backend and/or data engineering at enterprise scale.
  • Strong programming skills in Python, Java, or Scala, with expertise in API design and distributed systems.
  • Experience with Kafka, streaming frameworks such as Spark, Hive, or Flink, and schedulers such as Airflow or Luigi.
  • Proficiency with Kubernetes (EKS) and AWS cloud deployment practices.
  • Knowledge of SQL, complex data modeling, and high-throughput NoSQL or columnar databases such as Aerospike, Snowflake, or Scylla.

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.
  • Collaborate with engineering, product, and data teams to deliver identity solutions and mentor junior engineers.

Desired Qualifications

  • Experience designing multi-tenant distributed systems or real-time streaming frameworks such as Flink or Storm.
  • Knowledge of open table formats such as Iceberg, Hudi, or Delta Lake, and security/privacy frameworks.

About the Company

Zeta Global

AI-driven marketing platform for enterprises

Zeta Global provides AI-driven marketing technology for enterprises to acquire customers, retain them longer, and grow their value. Its Zeta Marketing Platform offers a real-time view of prospects and customers and uses AI to deliver personalized experiences across multiple channels at scale, pulling in behavioral signals and purchase intents to generate intent and churn signals for millions of identities for cross-channel campaigns. It differentiates itself through real-time data, a large identity graph, multi-channel orchestration, and deterministic attribution that drive measurable marketing outcomes. The goal is to help brands optimize acquisition and retention to maximize lifetime value by delivering precise, data-driven marketing at scale.

Company size
1,001-5,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2007

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