[Remote] Distributed Systems Engineer (L5) - Commerce Insights and Data Products Engineering

Note The job is a remote job and is open to candidates in USA. Netflix is a company dedicated to entertaining the world by merging creativity with cutting-edge technology. They are seeking a Distributed Systems Engineer to build low-latency data products that support product managers and business leaders in optimizing product experiences for Netflix members. 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 relate to and embody many aspects of Netflix's Culture Skills 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 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 You 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 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 Company Overview Netflix is an online streaming platform that enables users to watch TV shows and movies. It was founded in 1997, and is headquartered in Los Gatos, California, USA, with a workforce of 10001+ employees. Its website is https//www.netflix.com. Company H1B Sponsorship Netflix has a track record of offering H1B sponsorships, with 65 in 2026, 310 in 2025, 309 in 2024, 191 in 2023, 261 in 2022, 268 in 2021, 225 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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