Senior Identity Platform Backend Engineer

zetaglobal; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

zetaglobal is building and improving backend services for a large identity platform that connects profiles and signals across many data sources. The role focuses on evolving distributed systems and event pipelines to handle high volumes with low latency and high reliability.

You will design APIs for identity resolution, improve streaming pipelines, and deploy services on Kubernetes and AWS. Mentoring junior engineers and collaborating with product and data teams are key aspects of the role.

Qualifications

• 5+ years of backend or data engineering experience at enterprise scale.
• Strong programming skills in Python, Java, or Scala, with API design and distributed systems experience.
• Experience with Kafka and streaming tools (Spark, Hive, Flink) and schedulers (Airflow/Luigi).

Responsibilities

• Design backend services and APIs for identity resolution and platform integrations.
• Improve event-driven pipelines processing billions of signals.
• Deploy and operate cloud services on Kubernetes using Helm.

Skills

Python

Java

Scala

APIs design

Distributed systems

Kafka

Spark

Tools

Kubernetes

AWS

Airflow

Spark

Hive

Flink

Job description

zetaglobal is building and improving backend services for a large identity platform that connects profiles and signals across many data sources. The role focuses on evolving distributed systems and event pipelines to handle high volumes with low latency and high reliability.

You will design APIs for identity resolution, improve streaming pipelines, and deploy services on Kubernetes and AWS. Mentoring junior engineers and collaborating with product and data teams are key aspects of the role.