Netflix

Software Engineer (L5), Ads Foundations Knowledge Graph

Netflix

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $100,000 - $720,000 per year

Job Level

Mid-LevelSenior

Tech Stack

CloudNeo4j

About the role

  • The Ads Platform Engineering team builds advertising systems and integrations that power the delivery of ads using our world-class content delivery ecosystem.
  • We use a number of Netflix investments and innovations to power our ads - a unique mix of client and server-side ad insertions, state-of-the-art content delivery systems, ad encoding recipes, content understanding and metadata, etc.
  • We deliver ads in a manner that’s thoughtful of our member’s viewing experience and drive great outcomes for advertisers.
  • We also ensure that advertiser brand safety is ensured during serving, members only see the most appropriate ads for them.
  • The Delivery Management & Ad Platform Foundations team focuses on two key areas - first is enabling the set up, proactive monitoring, and troubleshooting of advertisers campaigns to ensure delivery and the second is our foundational work that crosses all of the Netflix Ad Suite to ensure developers and end-users alike are as efficient as possible in achieving their day to day tasks.
  • Our team is new and yet faced with the enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content.
  • As one of the newest entrants in the Connected TV advertising space that’s rapidly growing, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time.
  • We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.

Requirements

  • Experience evaluating and architecting scalable graph solutions, including integration with existing enterprise data platforms and an understanding of tradeoffs in performance and reliability.
  • Familiarity with semantic data modeling and ontology design for complex entities, focusing on representing diverse relationships and enabling flexible data access and querying.
  • Proficiency with graph databases (e.g., Neo4j, Amazon Neptune) and knowledge graph data management best practices, including data governance, quality assurance (e.g., duplicate resolution), and entity lifecycle management (e.g., merging, automated enrichment) for large-scale datasets.
  • Broad knowledge of ad tech and advertising landscape, programmatic advertising, and digital marketing trends.
  • Worked closely with ad operations to enable campaign setup, targeting, reporting, and advertiser needs.
  • 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.