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# Distributed Systems Engineer 6 - Ad Eventing New

- **Company:** Netflix, Inc.
- **Location:** Los Gatos, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Deduplication, Distributed Systems, System Availability, Backend, Event Driven Architecture, Apache Flink, Deployment Automation, Apache Kafka, Spark Streaming, Stream Processing
- **Published:** October 3, 2026
- **Apply:** https://www.gamesjobsdirect.com/job/netflix-game-studio/distributed-systems-engineer-6-ad-eventing/361006

## About the Role

* 10+ years building distributed systems and backend services at large scale; 3+ years in the ads domain
 * Deep experience with high-throughput event ingestion and stream processing at scale - Kafka, Flink, Spark Streaming, or equivalent
 * Built and operated event deduplication, validation, and attribution systems in an ads or similarly high-stakes data environment
 * Strong understanding of exactly-once and at-least-once delivery semantics, idempotency patterns, and the tradeoffs between them
 * Experience designing event schemas and data contracts that serve multiple downstream consumers with different latency and consistency requirements
 * Familiarity with ad measurement concepts: impression tracking, viewability, click attribution, completion rates, and IAB standards
 * Track record of technical leadership across multiple teams, setting architectural direction and influencing cross-functional roadmaps
 * Comfortable at the intersection of engineering, data, and product - translating advertiser reporting requirements and billing accuracy needs into production systems
 * Demonstrated ability to operate in an environment that is a mix of big-tech scale and startup speed, delivering production-ready results on tight timelines

Nice to Haves

 * Experience with CTV-specific event challenges: server-side ad insertion (SSAI), VAST/VMAP beacon tracking, live event traffic spikes
 * Familiarity with third-party measurement and verification integrations (MOAT, IAS, DoubleVerify, Nielsen)
 * Built or improved billing-grade event pipelines where accuracy directly impacts revenue reconciliation
 * Experience with experimentation infrastructure for event pipelines: validating schema changes, pipeline migrations, and deduplication logic without impacting downstream consumers
 * Strong background in resiliency and reliability: ensuring pipeline availability under extreme load (live events, traffic spikes, device-side retry storms)
 * Familiarity with privacy and compliance constraints on event data (GDPR, CCPA, data minimization)
 * Experience building observability and alerting frameworks for event pipelines - detecting drops, duplicates, and latency regressions in real time.

## Description

We are looking for a senior technical leader to own the technical direction of this pod, set the architectural bar, and drive execution on the hardest problems in event processing at Netflix scale. This is a 60% builder / 40% influencer role: you will write code, ship a proof-of-concept in your first weeks, and earn the trust of an opinionated senior team while simultaneously setting direction across the organization., * Own the technical direction of the Ad Eventing team: architecture reviews, incident leadership, capacity planning, and scaling

 * Architect and evolve the end-to-end ad event pipeline - from client beacon receipt through validation, deduplication, enrichment, and downstream fan-out - under strict latency and throughput constraints
 * Scale our event ingestion infrastructure to handle billions of events per day with high availability, exactly-once semantics, and sub-second processing SLAs
 * Design and implement robust deduplication and validation systems that ensure event accuracy across retries, network failures, and client-side inconsistencies
 * Build and operate stream processing pipelines (e.g., Kafka, Flink, or equivalent) that power real-time signals for pacing, frequency capping, and reporting
 * Define and maintain authoritative event schemas and data contracts that serve as the source of truth for billing, advertiser reporting, and ML feature pipelines
 * Partner closely with Ad Serving, Pacing, Reporting, and Science teams to ensure event data meets the accuracy, latency, and completeness requirements of each consumer
 * Drive operational excellence: reliability, observability, deployment automation, capacity planning, and incident leadership across the eventing stack
 * Drive modularization and platform-thinking: build reusable components and clean interfaces that let the team and partner teams move faster