The job, in the employer's words
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.).
Bonus Skills:
- Experience designing multi-tenant distributed systems or real-time streaming frameworks (Flink/Storm).
- Knowledge of open table formats (Iceberg, Hudi, Delta Lake) and security/privacy frameworks.
BENEFITS & PERKS
- Unlimited PTO
- Excellent medical, dental, and vision coverage
- Employee Equity
- Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!
SALARY RANGE
The salary range for this role is $150,000 - $180,000, depending on location and experience.
PEOPLE & CULTURE AT ZETA
Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.
We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/
ZETA IN THE NEWS!
Benefits mentioned
- Unlimited PTO
- Excellent medical, dental, and vision coverage
- Employee Equity
- Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!!
Requirements mentioned
- 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.).
- Experience designing multi-tenant distributed systems or real-time streaming frameworks (Flink/Storm).
- Knowledge of open table formats (Iceberg, Hudi, Delta Lake) and security/privacy frameworks.
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