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# Software Engineer 5 - Ads Eventing

- **Company:** Netflix, Inc.
- **Location:** Los Gatos, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Apache HTTP Server, C++ (Programming Language), Software as a Service, Data Systems, Distributed Systems, Java Virtual Machine (JVM), Object-Oriented Software Development, Distributed Caching, Data Streaming, Systems Integration, Data Processing, Real Time Systems, Data Ingestion, Druid, Low Latency, Apache Flink, Adserver, Stream Processing, Programming Languages
- **Published:** June 15, 2026
- **Apply:** https://www.dice.com/job-detail/6f4483e3-ff32-45cb-bff4-be1267648e94

## About the Role

We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey., * Experience with real-time systems a must

 * Extensive experience in building large-scale, low-latency distributed systems and real-time data processing
 * Experience building low-latency, highly available pipelines to ingest billions of ad events daily from client and server endpoints.
 * Experience building monitoring, alerting, and auditing systems to guarantee end-to-end data accuracy, timeliness, and completeness.
 * Hands-on expertise building and integrating with ad technologies such as SSPs, DSPs, or Ad Servers. In-depth understanding of programmatic advertising.
 * Expertise in building and integrating APIs and services with data technologies such as Apache Druid for real-time analytics and data processing
 * Broad knowledge of ad tech and advertising landscape, programmatic advertising, and digital marketing trends.
 * Developed many cloud-based applications and comfortable with modern programming languages (preferably object-oriented)
 * Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
 * Excellent communication, negotiation, and relationship-building skills.

Must-haves:

 * JVM based programming language (or C++)
 * Deep knowledge of at least one of these:
 * Stream processing frameworks (e.g., Apache Flink)
 * Real-time event processing systems
 * Distributed caching system
 * Experience designing event-driven or streaming data pipelines
 * Experience working in Pacing and Budgeting teams at large advertising companies

Nice to haves:

 * Experience with Apache Flink or similar streaming frameworks
 * Experience with ads infrastructure (ad serving, pacing, budgeting, measurement, or attribution)
 * Experience building event ingestion pipelines
 * Familiarity with streaming analytics systems
 * Experience working with large-scale event pipelines (millions+ events/sec)
 * Streaming Analytics
 * Ads serving
 * Experience working in Ad Serving teams (DSP or SSP)



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