Distributed Systems Engineer (L4) - Data Platform

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

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 Data Platform Teams:
 

Data Movement Platform - Abstractions

Tje Data Movement Platform - Abstractions team offers an abstracted self-service paved path product to enable varied user personas across Netflix to meet their Data Movement and Processing requirements; enables abstraction over complex real-time frameworks such as Kafka and Flink and batch frameworks such as Spark; offers a Schema driven processing experience; invests in operational automation, reliability and tools for predictable data quality. 

Data Security and Infrastructure

The Data Security and Infrastructure (DSI) team acts as a platform for our own data platforms, providing foundational infrastructure and tooling that empower Netflix to innovate rapidly in delivering cutting-edge data and analytics systems. Instead of building custom scaffolding for every new system, we focus on creating scalable, high-leverage infrastructure tailored to the demands of running data systems at Netflix's scale.

Our work spans infrastructure, security, deployment systems, and more, ensuring the reliability, security, and performance of our platform. A unique aspect of our team is our diverse tech stack, with many of our tools and systems developed in Go, Python and Java. If you thrive on solving complex problems, enjoy working with multiple programming languages, and want to make an impact at scale, this team could be a perfect fit for you!

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 Data Stores organization offers 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 Orchestration

The Big Data Orchestration team at Netflix empowers data engineers, data scientists, and ML researchers to create and manage computing workflows that leverage the full power of the Netflix Data Platform. This team is central to data processing at Netflix, hosting all ETL and batch ML data workloads running across domains as diverse as homepage personalization, studio & content application, and critical company reporting tasks.  We provide both self-service and managed offerings in ETL and DAG workflow creation and execution, along with a variety of supporting services for failure robustness, data validation, and featureful user interfaces. We solve challenging problems working with data at scale, providing world-class uptime and efficiency features, and supporting Netflix engineers to delight our members, advance research frontiers and achieve ambitious business goals.

Big Data Warehouse and Iceberg

The Big Data Warehouse and Iceberg team is responsible for Netflix's exabyte-scale data warehouse, building and operationalizing foundational services to manage the lifecycle of core tables critical for all analytical, reporting, and data decision needs. These services enable query engines to discover tables/datasets, provide secure access to data, and efficiently store data in S3 using Iceberg table format. Additionally, the team works on efficiencies of compute, storage, and network costs, and optimality of data storage, and ensures that the data meets Netflix's standards and compliance requirements. The team is also committed to developing new features and enhancements to the Iceberg table format (which began in Netflix and is now an industry standard) and contributing to the open source.

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.

A few more things about us:
As a team, we come from many different countries and our fields of education range from the humanities to engineering to computer science. Our team includes product managers, program managers, designers, full-stack developers, distributed systems engineers, and data scientists. Folks have the opportunity to wear different hats, should they choose to. We strongly believe this diversity has helped us build an inclusive and empathetic environment and look forward to adding your perspective to the mix!
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 $170,000 - $720,000.
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.
Netflix is a unique culture and environment. Learn more here.

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.