Note: The job is a remote job and is open to candidates in USA. Netflix is a company focused on pushing the boundaries of storytelling and technology. They are seeking a Senior Software Engineer to join their Platform Data Science & Engineering team, where the main responsibilities include building full stack applications and improving the efficiency of their Cloud and AI infrastructure.
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
- Contribute into other internal tooling surfaces (e.g. developer platform, ML/AI platform tooling) by contributing pertinent data produced from our team
- 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
Skills
- You've designed, built, and shipped full stack applications
- Experience contributing to internal systems and tools you don't own, including autonomously onboarding to new application stacks, strong design and architecture judgment, and proactive collaboration and communication
- Strong TypeScript and React, plus enough backend (Node.js, GraphQL, or similar) to own a data feature end to end
- Enough data fluency (SQL, and comfort reasoning about a data model) that a data-heavy product isn't a cold start. You don't need to be a data engineer, but you do need to be at home in messy, changing data
- A track record of owning work on your own. You'd be our first software engineer, so you'll set direction and see it through without a big engineering org behind you
- GraphQL API design, or work with Druid, Iceberg, or similar analytics data stores
- An interest in survey design or product analytics instrumentation, which is where AIPI may go next
- You've worked closely with data scientists, analytics engineers, or data engineers on a small team
Benefits
- Health Plans
- Mental Health support
- A 401(k) Retirement Plan with employer match
- Stock Option Program
- Disability Programs
- Health Savings and Flexible Spending Accounts
- Family-forming benefits
- Life and Serious Injury Benefits
- Paid leave of absence programs
- Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
- Full-time salaried employees are immediately entitled to flexible time off
Company Overview
Company H1B Sponsorship