Distributed Systems Engineer (L4) - Data Platform

Job Requisition ID

JR28717

Job Posting Date

12-12-2024

Teams

Engineering

Work Type

Remote

Netflix is one of the world's leading entertainment services, with 283 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 Discovery and Governance

This team is responsible for the broader data discovery and metadata strategy at Netflix. We aim to provide visibility to the taxonomy and business context of all Netflix datasets (including video assets, unstructured logs, etc). We have built a Netflix-wide data catalog to capture and infer business metadata across all datasets at Netflix. We own the Distributed Search and Lineage Infrastructure to efficiently discover data and track data movement across different data stores. We have built a customizable data detection framework that samples, detects, and reports violations across all datasets which gives us holistic insights into the risk profiles and quality of our data. We also provide an extensible policy engine framework that allows our stakeholders to customize data policy rules for all datasets.

Online Data Stores

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.

Data Movement Platform - Connectors
The Data Movement Connector team is responsible for developing and managing a range of data connectors that facilitate both batch and streaming processing by connecting data stores to the rich data movement products for additional processing.

This team creates and maintains a data connector platform that allows other teams to efficiently develop their own connectors as well. This team uses Spark for batch connectors and Kafka and Flink for streaming connectors, working with various data stores such as Cassandra and PostgreSQL. Responsibilities include handling CDC (Change Data Capture) events, building the control plane, building Spark, Flink connectors, interacting with multiple data stores, building bulk data transfer toolings, automating operations.

Data Movement Platform - Realtime Data Engines

Offers low level building blocks for the transport and processing of realtime data. For data transport we offer Kafka; for data processing we offer Flink and Mantis. Responsibilities include development of the control plane, compute resource management, reliability and availability of the data. Realtime data is critical across many business units of Netflix including Streaming, Gaming, Finance and Machine Learning platforms.

Data Movement Platform - Abstractions

Offers an abstracted self-service paved-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.

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.

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