Full-Stack Engineer 5 - Ads ML & Optimization Tooling

Netflix

Remote

Quick summary

Work type: Remote
Location: New York, NY
Salary: $320,000–$500,000 / yr
Posted: 10 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k

This role $410k

$143k most similar roles pay here $538k

This role pays more than 96% of similar roles. Most pay $185,875–$246,300 — the shaded band above. At the midpoint, this role pays about $410k versus about $216k for comparable roles.

Based on 240 similar postings.

Employer

About Netflix

Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media

Netflix currently has 117 open roles on FindRole.

Listed pay typically runs $388,000–$619,000 across 113 roles with salary data.

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At a glance

TL;DR · Full-Stack Engineer 5 - Ads ML & Optimization Tooling

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Join the Decisioning & Optimization engineering team at Netflix Ads as a full-stack engineer with 7+ years of experience in building production systems and strong analytical skills to design internal tools and dashboards that enhance visibility into ad decisioning processes. You will develop an ad decision debugger, model serving observability features, and campaign delivery monitoring tools, ensuring deep system performance insights through diagnostics, logging, and telemetry frameworks. Proficiency in React, TypeScript/JavaScript, Node.js, Java, or Kotlin is essential, along with experience in building scalable backend systems and observability tooling for complex distributed environments. Ideal candidates have a background in ad serving systems and familiarity with marketplace dynamics, including auction behavior and budget delivery patterns, to address the growing complexity of Netflix's ad decisioning stack at scale.

Skills

React TypeScript JavaScript Node.js Java Kotlin SQL Time-Series Metric Logging Tracing UI/UX API Backend Observability Diagnostics Telemetry Debugging Analytics Data Visualization Streaming Data Counterfactual Analysis Experimentation

What you'll do

Design and build internal tools and dashboards for ad decisioning stack visibility.
Develop an ad decision debugger to trace request paths and surface selection reasons.
Create observability features for model serving, including latency and score distribution tracking.
Build campaign delivery monitoring tools with spend tracking and pacing curve visualization.
Own UI and BFF layer for experimentation platforms, visualizing counterfactual results.

What we're looking for

7+ years of professional software engineering experience building production systems
Strong full-stack development skills across UI, BFF/API layer, and backend services
Proficiency in React, TypeScript/JavaScript, Node.js, Java, or Kotlin
Experience building observability tooling for complex distributed systems
Analytical mindset with a focus on self-service investigation tools
Comfortable querying, aggregating, and visualizing large datasets across various data types
Developed tools to instrument request paths through multi-service architectures

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