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Distributed Systems Engineer (L4) - Data Platform
The Data Platform teams at Netflix enable 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 that will 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 {5} Hiring Teams:
Storage
We focus on on providing storage and insights services to platforms, applications and users around the globe which are performant, secure and centrally managed; enabling platforms to move, store and efficiently archive data in the cloud. We offer a consistent mechanism to create & manage object/block/file resources, integrate Netflix ecosystem for access control and provide observability into the cost & lifecycle of these resources, by taking ownership of existing tools and shaping a more cohesive strategy. We manage storage at exabyte scale and enable Netflix to serve a huge amount of content around the globe.
Analytics Platform & Experience - Engines
We are responsible for providing the cloud-native platform for distributed data processing at Netflix. Central to analytics and data processing in Data Platform, we manage the the platform to get insights from the Exabytes-scale data in our data warehouse using Presto/TrinoDB and Snowflake. It also provides sub-second latency for real time analytics use cases as well as supports key insight dashboards using Druid. This platform enables new business initiatives such as ads and live.
Online DataStores - Composite
We offer managed datastores at scale to meet Netflix’s operational data requirements across all lines of business. These datastores include various domains: Caching, Relational, Search, Key-Value, and Composite. Our focus is on developing and maintaining high-performance, reliable, and efficient datastores. Additionally, we enhance developer productivity by providing secure, intuitive and opinionated access layers. This team is passionate about building innovative, efficient, performant and scalable offerings for our customers. Our team also engages with open source communities, actively contributing to and responsibly stewarding the development and use of open source software.
Big Data Compute - Spark
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.
Storage & Movement Infrastructure
Our mission is to enable Data Movement teams to swiftly create impactful data movement solutions by providing a unified operational and security infrastructure along with comprehensive support. Our goal is to identify common challenges and offer them as foundational primitives to be leveraged by these teams. Initial set of components within the team's charter: autoscaling for compute resources, common SLIs tracking, fault management for error classification, notification, remediation, and cost efficiency.
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This would be your dream job if you enjoy:
- Solving real business needs at 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:
- You have 2+ years of experience in building large-scale distributed systems features or applications.
- You are proficient in the design and development of RESTful web services.
- Experienced in building and operating scalable, fault-tolerant, distributed systems
- You are experienced in Java or other object-oriented programming languages.
- Multi-threading is a challenge that you are comfortable tackling.
- You have a BS in Computer Science or a related field.
