Senior Identity Backend Engineer: Scale & Graph AI

Zeta Global; United States; Remote; USD 150.000 - 180.000; Vollzeit

Benefits dieser Stelle

Unlimited PTO

Excellent medical, dental, and vision

Employee Equity

Discounts, Wellness & Pet Insurance

Zusammenfassung

Zeta Global is seeking a Senior Software Engineer for the Identity team to design backend services, optimize event-driven pipelines, and deploy cloud-native solutions on EKS/AWS. You will drive reliability, scalability, and collaboration across engineering, product, and data teams, mentoring junior engineers.

Ideal candidates have 5+ years in backend/data engineering, strong Python/Java/Scala skills, and experience with Kafka, Spark, Flink, and distributed systems.

Qualifikationen

• 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.).

Aufgaben

• 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.

Kenntnisse

Backend engineering

API design

Distributed systems

Mentoring

Tools

Kafka

Apache Spark

Apache Hive

Apache Flink

Airflow

Luigi

Kubernetes (EKS)

AWS

SQL

Aerospike

Snowflake

Scylla

Jobbeschreibung

Zeta Global is seeking a Senior Software Engineer for the Identity team to design backend services, optimize event-driven pipelines, and deploy cloud-native solutions on EKS/AWS. You will drive reliability, scalability, and collaboration across engineering, product, and data teams, mentoring junior engineers.

Ideal candidates have 5+ years in backend/data engineering, strong Python/Java/Scala skills, and experience with Kafka, Spark, Flink, and distributed systems.