分布式系统工程师 (L5) - 数据平台
Distributed Systems Engineer (L5) - Data Platform
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带来的令人不安的兴奋感。加入我们，成为未来的一部分。
数据平台团队帮助我们以多种方式利用数据为会员带来快乐。我们为Netflix的各种业务功能提供集中的数据平台和工具，使他们能够利用我们的数据做出关键的数据驱动决策。我们承担所有繁重的工作，让业务合作伙伴能够高效、安全且负责任地使用数据。我们致力于打造世界级的数据基础设施，引领行业标准，正如Netflix引领全球互联网娱乐最受欢迎和普及的首选目的地一样。
我们正在寻找分布式系统工程师，帮助推动和创新我们的基础设施。我们致力于打造一个多元化和包容性的团队，在解决下一阶段挑战的同时带来新的视角。此外，我们对远程候选人持开放态度。我们重视你在全美任何地方的能力。
数据平台团队亮点：
大数据计算（Spark）
BDCS团队负责为Netflix的分布式数据处理提供云原生平台。该团队是数据平台中批量数据处理的核心。它支持Spark将数据ETL到EB级数据仓库，并支持大规模数据分析，为Netflix的各类功能（如A/B测试、推荐、机器学习等）提供洞察，并推动新的商业举措，如广告和直播。
我们正在寻找在Spark、Presto/Trino、Druid、Iceberg以及分布式数据库系统方面有经验的优秀人才。该团队的职位涉及解决与大规模数据相关的一些非常有趣且具有挑战性的问题，构建功能和性能优化，并与开源社区紧密合作，塑造项目并做出贡献。
在线数据存储 - 缓存
在线数据存储团队正在开发和维护Netflix极端规模下的高性能、可靠且成本高效的存储解决方案。这些数据存储由一系列世界级的内部解决方案组成，
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 Data Platform Organization enables us to leverage data to bring joy to our members in many different ways. We provide centralized data platforms and tools for various business functions at Netflix, so they can utilize our data to make critical data-driven decisions. We do all the heavy lifting to make it easy for our business partners to work with data efficiently, securely, and responsibly. We aspire to lead the industry standard in building a world-class data infrastructure, as Netflix leads the way to be the most popular and pervasive destination for global internet entertainment.
We are looking for Distributed Systems Engineers to help evolve and innovate our infrastructure. We are committed to building a diverse and inclusive team to bring new perspectives as we solve the next set of challenges. In addition, we are open to remote candidates. We value what you can do, from anywhere in the U.S.
**Spotlight on Team Currently Hiring:**
**Big Data Compute {Spark}**
The BDCS team is responsible for providing the cloud-native platform for distributed data processing at Netflix. This team is central to batch data processing in Data Platform. It provides support for Spark to ETL data into the Exabytes-scale data warehouse and support large scale analytics on the data to provide insight to all the Netflix functions such as A/B testing, Recommendations, Machine Learning to name a few and enable new business initiatives such as ads and live.
We are looking for exceptional talent with experience in Spark, Presto / Trino, Druid, Iceberg and distributed database systems in general. Roles in this team involve solving super interesting and challenging problems of working with data at scale, building features and performance enhancements and working closely with open source communities to shape the projects and make contributions.
**Online DataStores - Caching**
The Online Data Stores team is developing and maintaining highly performant, reliable, and cost-efficient data storage solutions at Netflix’s extreme scale. These data stores are built from a combination of world-class in-house solutions that are open-sourced and used by top technology firms, as well as state-of-the-art data solutions from public cloud offerings. Additionally, we enhance developer productivity by providing opinionated and intuitive, secure abstraction layers on top of the base storage systems.
We provide extremely low-latency yet high-throughput in-memory and distributed data storage solutions across the company. Our services power mission-critical Tier-0 Netflix services such as the streaming Catalog and Content Delivery Network (CDN) metadata. We are looking for passionate and innovative software engineers to join our team to build novel caching architectures that push the limits of performance, cost efficiency, utility, and usability.
**This would be your dream job if you enjoy:**
- Solving real business needs at a large scale by applying your software engineering and analytical problem-solving skills.
- Architecting and building a robust, scalable, and highly available distributed infrastructure.
- Leading cross-functional initiatives and collaborating with engineers, product managers, and TPM across teams.
- Sharing our experiences with the open source communities and contributing to Netflix OSS.
**About you:**
- 7+ years experience in crafting complex, scalable distributed data infrastructure
- Proficiency in Java, C++, Golang, or Python with a solid understanding of multi-threading and memory management
- Proven track record of developing and maintaining high-impact systems
- Experience building and operating scalable, fault-tolerant, distributed systems
- You have a BS in Computer Science or a related field
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](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.