Netflix · 1 month ago
Distributed Systems Engineer (L5) - Commerce Product Data Engineering
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 partner with data scientists and engineers to build low-latency data products that enhance product experiences and support machine learning models.
Digital EntertainmentMedia and EntertainmentTVVideo Streaming
Responsibilities
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
Develop highly available and reliable distributed data systems and services to ensure the timely delivery of high-quality data for use in the Netflix product
Craft scalable systems and solutions to realize a range of product and engineering goals
Design multi-tenant systems that can handle high-scale and high-throughput demands while being easy to operate, monitor, scale, and maintain 24x7
Prioritize observability in designs, ensuring systems are equipped with comprehensive monitoring, logging, and alerting to facilitate proactive issue detection and resolution
Own what you build, beyond just your code and have a passion for quality
Qualification
Required
Proficient in at least one major language on the JVM stack (e.g., Java, Scala) and SQL (any variant)
Strive to write elegant and maintainable code
Comfortable with picking up new technologies
Have a product mindset and are curious to understand the business's needs
Naturally collaborative style to work with product management, data science, engineering, etc
Possess strong data intuition and know how to apply analytical skills and data engineering fundamentals
Experience building applications that use large-scale distributed systems, data processing frameworks (batch and real-time) e.g. Spark, Flink, etc., and storage solutions
Understand how ML systems consume data—features, inference inputs, labels, and reward signals
Passionate about making data available for self-service and wider integration
Can craft scalable systems and solutions to realize a range of product and engineering goals
Strong operational awareness and design multi-tenant systems that can handle high-scale and high-throughput demands
Prioritize observability in designs, ensuring systems are equipped with comprehensive monitoring, logging, and alerting
Own what you build, beyond just your code and have a passion for quality
Comfortable working in the most agile of environments with vague requirements
Nimble and can pivot easily when needed
Unafraid to take smart risks
Relate to and embody many aspects of Netflix's Culture
Love working independently while also collaborating and giving/receiving candid feedback
Benefits
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
Life and Serious Injury Benefits
Paid leave of absence programs
35 days annually for paid time off to be used for vacation, holidays, and sick paid time off
Flexible time off
Company
Netflix
Netflix is an online streaming platform that enables users to watch TV shows and movies.
H1B Sponsorship
Netflix has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (310)
2024 (309)
2023 (191)
2022 (261)
2021 (268)
2020 (225)
Funding
Current Stage
Public CompanyTotal Funding
$63.91BKey Investors
Wells FargoTCVGroupe Arnault
2025-12-05Post Ipo Debt· $59B
2024-08-01Post Ipo Debt· $1.8B
2018-05-05Post Ipo Debt· $2.67M
Recent News
2026-01-11
Business Standard India
2026-01-11
2026-01-11
Company data provided by crunchbase