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# Lead Software Engineer - Real-Time Events

- **Company:** Zeta Global
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $200,000.0 - $210,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Cloud Computing, Code Review, Computer Programming, Databases, Data Stores, Amazon DynamoDB, Python (Programming Language), PostgreSQL, MySQL, Redis, Cloud Services, Software Engineering, Data Streaming, Apache Spark, Fastapi, Apache Kafka, Amazon Simple Queue Service (SQS)
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/lead-software-engineer-real-time-events-san-francisco-ca--85c7fde5-50e2-4539-9c88-1b5d1dcdd100

## About the Role

Software Engineering, Outbound Marketing, Cloud Computing, Customer Retention/Renewal, Marketing, Artificial Intelligence (AI), Software Engineering, Integrated Circuits (ICs), Technical Leadership, Technical/Engineering Design, * Extensive Experience: Minimum of 8-10 years in software engineering, including Lead/Staff-level work on event, streaming, or data-infrastructure systems.

 * Technical Proficiency: Production experience with event streaming (Kafka or equivalent), Python services and APIs (e.g. FastAPI), and pipeline processing (Spark/EMR or equivalent) where needed.
 * Cloud Expertise: Proficient in designing, deploying, and operating systems on AWS (S3, SQS/SNS, Lambda, RDS, and similar).
 * Full Lifecycle Exposure: Experience with the complete software development lifecycle, from design through production, monitoring, and on-call.
 * Programming Skills: Fluency in Python or substantial experience in Scala and Java.
 * Database Proficiency: Skilled with data stores used around event pipelines (e.g. Postgres/MySQL, Redis, DynamoDB or similar).
 * Scheduler Experience: Experience with orchestrators such as Apache Airflow.
 * Operational Mindset: Track record owning high-throughput pipelines in production: incidents, performance and cost, observability, data quality, and SLOs.
 * Communication Skills: Excellent interpersonal and communication abilities; can explain pipeline design and trade-offs to partners who consume ZMP event data.

## Description

* Technical Leadership: Design, implement, and launch event-pipeline features in production. Own architecture for the parts of the pipeline you lead.
 * Thought Leadership & Innovation: Evaluate existing or emerging technologies where they offer a clear cost, latency, or operational advantage, and land those choices in production.
 * Engineering Collaboration: Engage in architectural discussions, take ownership of key pipeline projects, and define stable contracts with downstream consumers.
 * Team Mentorship: Mentor through design reviews, code reviews, and pairing. Help teammates ship via clear interfaces, solid tests, and production-ready patterns.
 * Product Collaboration: Partner with Product, Data, and ZMP consumer teams to turn SLAs (latency, throughput, correctness) into working systems.
 * Infrastructure & Reliability: Instrument services, improve alerting, and own on-call gaps yourself. Drive post-incident fixes (root cause, code, runbooks, dashboards) and keep the pipeline predictable under load.