Netflix

Netflix

Software Engineer 5 - Platform Data Products

USA - Remote · Full-time

Sponsorship not specified$388k-$558kDetected 1 day ago
TypeScriptReactNode.jsBackend DevelopmentFull-Stack DevelopmentSQLCloud PlatformsAPI DevelopmentGraphQLMachine LearningData ScienceA/B TestingForecastingCommunicationCollaboration

> stay_score

odds of building a lasting career here

37Unrated
Cap-exempt (no lottery)0
Sponsors this role0
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

No strong sponsorship signal in the public record yet. In the full product we resolve the exact legal entity and show its filing history with a confidence score — treat as unverified until then.

Lottery odds assume a STEM candidate.

Personalize to your clock →

> community_outcomes

No reports yet — be the first to help the next applicant.

About the role

  • We're looking for a full stack engineer to join our diverse team of analytics, data, and software engineers.
  • You'll become a domain expert in areas ranging from cloud infrastructure efficiency and coding agent "tokenomics," to GPU efficiency and enterprise-scale AI platform concerns.

Responsibilities

  • Build and ship full stack features for our infrastructure cost and usage tooling, from the React and TypeScript frontend through the GraphQL services behind it.
  • Help build and launch our product for analyzing AI productivity, cost and usage including designing the architecture, help shaping the data model, and build the tooling
  • Build reusable components and shared infrastructure to enable our visualization and analytics engineers
  • Partner with analytics engineers and data engineers on the data models behind these products. You won't build the pipelines, but you need to reason about them.
  • You'll partner directly with engineering stakeholders to design and implement interactive web applications, backend services and APIs, agents and agent-facing tooling, analytics datasets, and integrations to microservices across Netflix.
  • You should have a background in relational data modeling, API design, and data-rich application development.
  • You should have a strong sense of product ownership, and experience taking products from scoping, to design, to implementation.

Nice to have

  • You've worked closely with data scientists, analytics engineers, or data engineers on a small team.
  • Team and Culture
  • You'd work day to day with visualization engineers, analytics engineers, and data scientists, so you should be comfortable being the engineering voice in a room of data practitioners.
  • Netflix runs on people over process.
  • We keep rules, approvals, and management layers light, and we trust well-informed people to make good calls (our "freedom and responsibility" model).
  • we do not have bonuses.
  • To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range.
  • The range for this role is $388,000.00 - $558,000.00.

Skills

  • Netflix operates one of the largest cloud infrastructure footprints in the world, and an increasing footprint of GenAI tools and agents.

Compensation

  • $388k-$558k

Company info

  • At Netflix, our mission is to entertain the world.
  • Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality.
  • We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology.

This listing is sourced directly from Netflix's careers page and normalized into a canonical job model.