软件工程师5 - 平台数据产品
Software Engineer 5 - Platform Data Products
在Netflix，我们的使命是娱乐全世界。我们正在共同书写下一章——突破叙事的边界、全球粉丝文化，将不可想象变为现实。我们是一支充满激情的团队，痴迷于探索创意、直觉和尖端技术融合时产生的令人不安的兴奋感。加入我们，成为未来的一部分。
### 职位描述
Netflix运营着全球最大的云基础设施足迹之一，以及日益增长的GenAI工具和代理程序的足迹。平台数据科学与工程（Platform DSE）是一个面向内部的团队，帮助Netflix的技术部门理解并优化其云和AI基础设施。
我们正在寻找一名全栈工程师加入我们由分析、数据和软件工程师组成的多样化团队。在这个职位上，你将专注于构建使Netflix提升云和AI基础设施效率的产品。
你将直接与工程利益相关者合作，设计和实现交互式网页应用、后端服务和API、代理和代理面向的工具、分析数据集以及与Netflix内部微服务的集成。你将成为从云基础设施效率和编码代理“代币经济学”到GPU效率和企业级AI平台问题等领域的专家。
你应该具备关系型数据建模、API设计和数据丰富的应用开发背景。你应该有强烈的产品责任感，并有从需求定义、设计到实现的完整产品经验。
### 你将负责
- 为我们的基础设施成本和使用工具构建和发布全栈功能，从React和TypeScript前端到其背后的GraphQL服务。
- 帮助构建和推出我们的AI生产力、成本和使用分析产品，包括设计架构、协助塑造数据模型并构建工具。
- 通过提供我们团队生成的相关数据，参与其他内部工具界面（例如开发者平台、ML/AI平台工具）的建设。
- 构建可重用组件和共享基础设施，以支持我们的可视化和分析工程师。
- 与分析工程师和数据工程师合作，处理这些产品的数据模型。你不会构建数据管道，但需要对其有深入的理解。
### 我们寻找的人选
必须具备：
- 你曾设计、构建并发布了全栈应用程序
- 有贡献经验
查看英文原文
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. Come be a part of what’s next.
### The Role
Netflix operates one of the largest cloud infrastructure footprints in the world, and an increasing footprint of GenAI tools and agents. Platform Data Science & Engineering (Platform DSE) is an internal-facing team that helps Netflix's Technology org understand and optimize its cloud and AI infrastructure.
We're looking for a full stack engineer to join our diverse team of analytics, data, and software engineers. In this role, you will focus on building products that enable Netflix to improve the efficiency of our Cloud and AI infrastructure.
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'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.
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.
### What You'll Do
- 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.
### What We're Looking For
Must have:
- 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.
Nice to have:
- 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.
### Team and Culture
Platform Data Science & Engineering owns a wide slice of Netflix: infrastructure spend, developer productivity, traffic forecasting and experimentation, and availability. We value diversity of experience and background, direct ownership, and building durable products over one-off analyses. 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). For you that means real latitude and real accountability: you'll set technical direction and own how it turns out, not work a backlog someone else prioritized.
Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. 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. This compensation range will vary based on location.
Netflix provides comprehensive benefits including 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, and Life and Serious Injury Benefits. We also offer 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. See more details about our Benefits [here](https://jobs.netflix.com/work-life-philosophy).
Netflix is a unique culture and environment. Learn more [here](https://jobs.netflix.com/culture).
[Inclusion](https://about.netflix.com/en/inclusion) is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.