Full Stack Engineer 5 - Ads Reporting

Netflix Netflix · Big Tech · Los Gatos, CA +2 · Engineering

Netflix is seeking a Full Stack Engineer for their Ads Reporting team. This role will build and scale advertiser-grade reporting applications for internal teams and external advertisers, enabling them to explore, filter, schedule, and download Ads performance data. The position requires proven experience in fullstack development, building scalable backend systems (Java, Kotlin, JVM), and proficiency in modern UI frameworks (React preferred), TypeScript/JavaScript, and Node.js. Ads domain experience, including programmatic advertising and digital marketing trends, is also essential. The role emphasizes a product mindset and the ability to thrive in a fast-paced environment.

What you'd actually do

  1. Build and scale advertiser-grade reporting applications that allow internal teams and, over time, external advertisers to explore, filter, schedule, and download Ads performance data.
  2. Proven experience working on a fullstack engineering team, effectively bridging UI and backend development, including defining and managing API contracts between them and leading an end-to-end fullstack project.
  3. Experience building scalable backend systems in Java, Kotlin, or similar JVM languages
  4. Proficiency in modern UI frameworks (React preferred), TypeScript/JavaScript, and Node.js
  5. Product mindset that is deeply empathetic to user needs, strategic in orientation, and driven by outcomes

Skills

Required

  • fullstack development
  • backend development
  • UI development
  • API contract definition
  • Java
  • Kotlin
  • JVM languages
  • React
  • TypeScript
  • JavaScript
  • Node.js
  • product mindset
  • empathetic to user needs
  • strategic orientation
  • outcome driven
  • Ads domain experience
  • programmatic advertising
  • digital marketing trends
  • fast-paced environment
  • manage multiple priorities
  • communication skills
  • negotiation skills
  • relationship-building skills

Nice to have

  • Ads Druid analytics layer
  • low-latency, high-concurrency OLAP workloads
  • legal compliance
  • ads regulations
  • CTV space experience
  • CTV constraints knowledge

What the JD emphasized

  • Ads domain experience
  • scalable backend systems
  • fullstack engineering team