Full Time Job

Distributed Systems Engineer - Data Platform


Remote / Virtual 03-30-2024
  • Paid
  • Full Time
  • Senior (5-10 years) Experience
Job Description
Distributed Systems Engineer (L5) - Data Platform

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 260 million paid subscribers and are expanding into new forms of entertainment such as gaming.

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 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 US

Spotlight on Data Platform Teams:

Database Access Platform |Learn More
Our team champions advancements in data abstractions, building streamlined abstractions atop distributed data stores, like Apache Cassandra, Elasticsearch, Memcached, and S3. We cater to diverse Netflix use cases, including counters, flexible key-values, and time series. Beyond this, we're the custodians of Hollow, Netflix's robust memory co-located dataset library for efficient publishing and consumption. With Hollow, we're setting new standards in reducing the footprint of in-memory datasets while allowing rapid access to data, benefiting hundreds of Netflix applications across all business verticals. Our mandate is clear: empower Netflix's microservices to meet their increasing and dynamic data requirements.

Your Role:

Join us as a Senior Software Engineer on the Data Access Platform team. Your main task will be developing and advancing the open-source Hollow library and its use at Netflix via abstractions. Hollow is used broadly at Netflix in its mission to entertain the world! You'll collaborate closely with various teams, lead cross-functional projects, and share our experiences with the open-source community.

Check out the Netflix OSS Hollow and hear more about our team on the CDE Channel.

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:
• 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
• Familiarity with library development, DI frameworks (preferably SpringBoot), and container technologies
• Previous exposure to in-memory dataset systems and Hollow experience is a plus for the Database Access team

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 $100,000 - $700,000

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.

Jobcode: Reference SBJ-dyne1q-3-239-91-5-42 in your application.

Salary Details
Salary Range: $100,000 to $700,000 Per Year ($ USD)