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Zeta GlobalSan Francisco, California, United States

Lead Software Engineer (Identity)

On-siteFull Time$150k - $200k per yearPosted 3 days ago

About the role

  • At Zeta Global, identity is at the core of our marketing cloud
  • The Identity team builds and operates backend services that power the Zeta Identity Graph
  • collecting, resolving, and maintaining billions of behavioral, demographic, and transactional signals
  • These services enable people-based marketing at scale, ensure trust and transparency in how identity data is managed, and provide critical APIs and event streams consumed across Zeta’s platform
  • Our systems support more than 235 million consumer profiles and process billions of events monthly, requiring services that are highly available, low-latency, and built to scale
  • We are looking for a Lead Software Engineer who brings strength in both backend distributed systems and data engineering
  • In this role, you’ll design APIs and event-driven services, scale our systems to handle rapidly growing data volumes, and modernize our platform for resilience, transparency, and performance
  • Design and build backend services and APIs for identity resolution, graph transparency, and integrations
  • Develop and optimize event-driven pipelines and workflows processing billions of signals
  • Deploy and operate cloud-native services on EKS/Kubernetes, leveraging Helm for repeatable deployments
  • Ensure reliability, observability, and scalability across services and data pipelines
  • Collaborate across engineering, product, and data teams to deliver end-to-end identity solutions
  • Mentor engineers and influence architecture and roadmap
  • Strong skills in Python, Java, or Scala, with expertise in APIs, distributed systems, and event-driven design
  • 5+ years of experience in backend and/or data engineering at scale
  • Familiarity with columnar / NoSQL databases (Aerospike, Snowflake, HBase, Scylla, Couchbase)
  • Proficiency with Kubernetes (EKS preferred) and deployment practices (Helm, service meshes)
  • Hands-on experience with Kafka (or similar), Spark/Hive/Flink, and workflow schedulers (Airflow/Luigi)
  • Solid knowledge of SQL, data modelling, and cloud platforms (AWS)
  • Strong communication skills and a track record of driving technical direction and mentoring teams
  • Background in security, compliance, or privacy related to identity systems
  • Knowledge of open table formats (Iceberg, Hudi, Delta Lake)
  • Exposure to real-time streaming frameworks (Flink, Storm)
  • Experience with large-scale or multi-tenant distributed systems
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