WHO WE ARE

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.

The Opportunity: Where Impossible Becomes Possible

The Identity team operates the critical backend services powering the Zeta Identity Graph. How do you engineer distributed architectures to manage a profile store running in several terabytes while maintaining single-digit millisecond latencies for billions of monthly events? We seek an innovative Senior Software Engineer to help navigate this exact scale, driving a multi-year roadmap to optimize our existing systems and architect our next-generation platform.

You Will:

• 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 absolute reliability, observability, and scalability across services and data pipelines.
• Collaborate with engineering, product, and data teams to deliver identity solutions and mentor junior engineers.

You Have:

• 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 (Spark/Hive/Flink), and schedulers (Airflow/Luigi).
• Proficiency with Kubernetes (EKS) and AWS cloud deployment practices.
• Knowledge of SQL, complex data modeling, and high-throughput NoSQL/columnar databases (Aerospike, Snowflake, Scylla, etc.).