Distributed Systems Engineer 5 - Ads Policies

Netflix Netflix · Big Tech · United States · Remote · Engineering

Netflix is seeking a Distributed Systems Engineer to build platform-level components for managing and enforcing ads policies across their advertising ecosystem. This role involves developing systems for rules management, creative review, campaign setup, targeting, serving, and reporting, ensuring compliance with regulations and Netflix standards. The position requires experience in building large-scale, low-latency advertising infrastructure and sophisticated experimentation systems.

What you'd actually do

  1. building the platform-level components required for managing Netflix policies and ensuring their enforcement across the entire ads ecosystem, including creative review, campaign setup, targeting, serving and reporting.
  2. building systems that power sophisticated user experimentation, A/B testing and lift studies.
  3. building large-scale infrastructure for real-time, low-latency, online advertising environments.
  4. building platform-level rules management systems, especially in the context of online advertising.

Skills

Required

  • building platform-level rules management systems
  • building large-scale infrastructure for real-time, low-latency, online advertising environments
  • building systems that power sophisticated user experimentation, A/B testing and lift studies.
  • analytical and strategic thinking
  • product sense and leadership
  • collaborating with cross-functional stakeholders

Nice to have

  • legal compliance and changing landscape of ads regulations
  • CTV ecosystem
  • Dynamic Ads Insertion for Live streaming events
  • multi-tenancy in campaign management platforms
  • Programmatic advertisement experience
  • ads industry technology standard (e.g. VAST, OpenRTB)

What the JD emphasized

  • building platform-level rules management systems
  • building large-scale infrastructure for real-time, low-latency, online advertising environments
  • building systems that power sophisticated user experimentation, A/B testing and lift studies.