
Lead Software Engineer (Real-Time Events)
Zeta Global
Job description
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Zeta Global is looking for a Lead Software Engineer to join Real-Time Events (RTE). This is a highly hands-on IC role. You will design, build, and operate the ZMP real-time events pipeline: ingesting, processing, and delivering high-volume event data that powers Zeta Marketing Platform products
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Technical Leadership: Design, implement, and launch event-pipeline features in production. Own architecture for the parts of the pipeline you lead
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Thought Leadership & Innovation: Evaluate existing or emerging technologies where they offer a clear cost, latency, or operational advantage, and land those choices in production
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Engineering Collaboration: Engage in architectural discussions, take ownership of key pipeline projects, and define stable contracts with downstream consumers
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Team Mentorship: Mentor through design reviews, code reviews, and pairing. Help teammates ship via clear interfaces, solid tests, and production-ready patterns
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Product Collaboration: Partner with Product, Data, and ZMP consumer teams to turn SLAs (latency, throughput, correctness) into working systems
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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- 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
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Programming Skills: Fluency in Python or substantial experience in Scala and Java
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Extensive Experience: Minimum of 8โ10 years in software engineering, including Lead/Staff-level work on event, streaming, or data-infrastructure systems
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Operational Mindset: Track record owning high-throughput pipelines in production: incidents, performance and cost, observability, data quality, and SLOs
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Database Proficiency: Skilled with data stores used around event pipelines (e.g. Postgres/MySQL, Redis, DynamoDB or similar)
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Full Lifecycle Exposure: Experience with the complete software development lifecycle, from design through production, monitoring, and on-call
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Scheduler Experience: Experience with orchestrators such as Apache Airflow
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Cloud Expertise: Proficient in designing, deploying, and operating systems on AWS (S3, SQS/SNS, Lambda, RDS, and similar)
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Communication Skills: Excellent interpersonal and communication abilities; can explain pipeline design and trade-offs to partners who consume ZMP event data