分布式系统工程师 (L5) - 商业洞察与数据产品工程师
Distributed Systems Engineer (L5) - Commerce Insights and Data Products Engineer
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，让不可想象成为现实。我们是一支梦想团队，痴迷于探索创意、直觉和尖端技术融合时会发生什么的令人不安的兴奋感。加入我们，成为未来的一部分。
Commerce Insights and Data Products Engineering团队负责优化当前和未来Netflix会员产品体验的关键数据。我们的工作使产品经理和业务领导者能够快速实验和创新产品体验，以实现我们“娱乐全世界”的目标。
在这个职位中，你将与数据科学家和其他工程师紧密合作，构建低延迟的数据产品，这些产品能够为跨我们商业、身份流程等的算法和机器学习模型提供支持。这个职位适合一位具有分析思维并拥有扎实工程背景的人，能够开发高可用且可靠的分布式数据系统和服务，确保及时交付高质量数据用于Netflix产品。
关于你：
- 你精通JVM堆栈中的至少一种主要语言（例如Java、Scala）和SQL（任何变体）。你追求编写优雅且可维护的代码，并乐于学习新技术。
- 你有产品思维，对理解业务需求充满好奇。你自然地与产品管理、数据科学、工程等团队协作，以满足这些需求。
- 你具备强大的数据直觉，知道如何运用你的分析技能和数据工程基础来支持构建高质量的数据产品。
- 你有构建使用大规模分布式系统、数据处理框架（批处理和实时）例如Spark、Flink等以及存储解决方案的应用经验。
- 你了解机器学习系统如何使用数据——特征、推理输入、标签和奖励信号，并利用这些知识设计低延迟、可靠的数据产品，直接支持个性化体验。
- 你热衷于让数据可供自助使用和更广泛的集成。
- 你能构建可扩展的系统和解决方案，以实现各种产品和工程目标。
- 你有很强的运维意识
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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 Commerce Insights and Data Products Engineering team is responsible for data critical to optimizing our product experiences across various product canvases for both current and future Netflix members. Our work empowers product managers and business leaders to rapidly experiment and innovate on product experiences that drive towards our goal to “Entertain the world”.
In this role, you will partner closely with data scientists and other engineers to build low-latency data products capable of powering algorithms and machine learning models that run across our commerce, identity flows, and more. This role is ideal for an individual with an analytically bent mind coupled with a robust engineering background who can develop highly available and reliable distributed data systems and services to ensure the timely delivery of high-quality data for use in the Netflix product.
About you:
- You are proficient in at least one major language on the JVM stack (e.g., Java, Scala) and SQL (any variant). You strive to write elegant and maintainable code, and you're comfortable with picking up new technologies.
- You have aproduct mindsetand are curious to understand the business's needs. You have a naturally collaborative style to work with product management, data science, engineering, etc in service of these needs.
- You possess strong data intuition and know how to apply your analytical skills and data engineering fundamentals to support building high-quality data products.
- You have experience building applications that use large-scale distributed systems, data processing frameworks (batch and real-time) e.g. Spark, Flink, etc., and storage solutions.
- Youunderstand how ML systems consume data—features, inference inputs, labels, and reward signals—and you use that knowledge to design low-latency, reliable data products that directly support personalized experiences
- You are passionate about making data available for self-service and wider integration.
- You cancraft scalable systemsand solutions to realize a range of product and engineering goals.
- You have astrong operational awarenessand design multi-tenant systems that can handle high-scale and high-throughput demands while being easy to operate, monitor, scale, and maintain 24x7.
- You prioritizeobservabilityin your designs, ensuring systems are equipped with comprehensive monitoring, logging, and alerting to facilitate proactive issue detection and resolution.
- You own what you build, beyond just your code and have a passion for quality.
- You are comfortable working in the most agile of environments with vague requirements. You are nimble and can pivot easily when needed. You are unafraid to take smart risks.
- You relate to and embody many aspects ofNetflix's Culture. You love working independently while also collaborating andgiving/receiving candid feedback.
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 - $619,000.00. 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.
Netflix is a unique culture and environment. Learn more here.
Inclusionis 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.
Originally posted on Himalayas