Distributed Systems Engineer (L5) - Data Platform

Remote, United States /
Streaming – Data Platform Engineering /
/ Remote
At Netflix, we want to entertain the world and are constantly innovating on how entertainment is imagined, created and delivered to a global audience. We currently stream content in more than 30 languages in 190 countries, topping over 220 million paid subscribers and are expanding into new forms of entertainment such as gaming. 

The data infrastructure 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 as we work towards our ambitious goal of 500 million members worldwide. 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 Data Infrastructure Teams:
Data Movement and Processing | Learn More
Offers an abstracted self-service paved-paved path product to enable varied user persona across Netflix meet their low-latency Data Movement and Processing requirements; enables abstraction over complex Real-Time frameworks such as Kafka and Flink; offers a Schema driven processing experience; invests in operational automation, reliability and tools for predictable data quality.

Online Datastores | Learn More
Offers data stores as a managed service, including both caching and persistence stores. Caching stores include Dynomite (redis), EVCache (memcached) and persistence stores include Cassandra and CockroachDB. Responsibilities include development of data plane and control plane, reliability and availability of the data stores. Datastores directly impact critical call paths across multiple business units of Netflix including Streaming, Original content production (Studio), Gaming and Tudum.

Data Access Platform | Learn More
The Database Access Platform team builds and operates a flexible query gateway that facilitates data abstractions to operate at sub-millisecond latencies while allowing Netflix microservices to more easily store, consume, and manage their data. This team holds a substantial responsibility in enabling Netflix microservices to satisfy their ever-growing and evolving data needs.
This team is passionate about distributed data systems technology. We are active in the open source community and believe in operating what we own. We are a small team responsible for business critical systems and are committed to a culture of feedback and engineering

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 5+ years of experience in building large-scale distributed systems or applications. 
    • You are proficient in design and development of RESTful web services. 
    • Experienced building and operating scalable, fault-tolerant, distributed systems
    • You are an expert in Java or other object-oriented programming languages. Python or Scala expertise is a plus.
    • Multi-threading is a challenge that you are comfortable tackling.
    • You have a BS in Computer Science or 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!

At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. 

The overall market range for roles in this area of Netflix is typically $90,000 - $900,000

This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Our culture is unique, and we tend to live by our values, so it’s worth learning more about Netflix here.