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Netflix · 2 days ago

Distributed Systems Engineer (L5) - Commerce Product Data Engineering

United States

Full-time

Remote

Senior Level

$170K/yr - $720K/yr

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries. They are seeking a Distributed Systems Engineer to build low-latency data products and collaborate with data scientists and engineers to optimize product experiences for their members.

Digital EntertainmentMedia and EntertainmentTVVideo Streaming

Comp. & Benefits

H1B Sponsor Likely

Responsibilities

You will partner closely with data scientists and other engineers to build low-latency data products capable of powering algorithms and machine learning models that run across our commerce, identity flows, and more

You strive to write elegant and maintainable code, and you're comfortable with picking up new technologies

You have a product mindset and are curious to understand the business's needs

You possess strong data intuition and know how to apply your analytical skills and data engineering fundamentals to support building high-quality data products

You have experience building applications that use large-scale distributed systems, data processing frameworks (batch and real-time) e.g. Spark, Flink, etc., and storage solutions

You understand how ML systems consume data—features, inference inputs, labels, and reward signals—and you use that knowledge to design low-latency, reliable data products that directly support personalized experiences

You are passionate about making data available for self-service and wider integration

You can craft scalable systems and solutions to realize a range of product and engineering goals

You have a strong operational awareness and design multi-tenant systems that can handle high-scale and high-throughput demands while being easy to operate, monitor, scale, and maintain 24x7

You prioritize observability in your designs, ensuring systems are equipped with comprehensive monitoring, logging, and alerting to facilitate proactive issue detection and resolution

You own what you build, beyond just your code and have a passion for quality

You are comfortable working in the most agile of environments with vague requirements

You are nimble and can pivot easily when needed

You are unafraid to take smart risks

You relate to and embody many aspects of Netflix's Culture

Qualification

JavaScalaSQLDistributed systemsData processing frameworksMachine learning systemsData engineeringAnalytical skillsOperational awarenessAgilityCollaborationObservability

Required

You are proficient in at least one major language on the JVM stack (e.g., Java, Scala) and SQL (any variant)

You strive to write elegant and maintainable code, and you're comfortable with picking up new technologies

You have a product mindset and are curious to understand the business's needs

You have a naturally collaborative style to work with product management, data science, engineering, etc in service of these needs