[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.ResponsibilitiesYou 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 moreYou strive to write elegant and maintainable code, and you're comfortable with picking up new technologiesYou have a product mindset and are curious to understand the business's needsYou possess strong data intuition and know how to apply your analytical skills and data engineering fundamentals to support building high-quality data productsYou have experience building applications that use large-scale distributed systems, data processing frameworks (batch and real-time) e.g. Spark, Flink, etc., and storage solutionsYou 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 experiencesYou are passionate about making data available for self-service and wider integrationYou can craft scalable systems and solutions to realize a range of product and engineering goalsYou 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 24x7You prioritize observability in your designs, ensuring systems are equipped with comprehensive monitoring, logging, and alerting to facilitate proactive issue detection and resolutionYou own what you build, beyond just your code and have a passion for qualityYou are comfortable working in the most agile of environments with vague requirementsYou relate to and embody many aspects of Netflix's CultureSkillsYou 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 technologiesYou have a product mindset and are curious to understand the business's needsYou have a naturally collaborative style to work with product management, data science, engineering, etc in service of these needsYou possess strong data intuition and know how to apply your analytical skills and data engineering fundamentals to support building high-quality data productsYou have experience building applications that use large-scale distributed systems, data processing frameworks (batch and real-time) e.g. Spark, Flink, etc., and storage solutionsYou 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 experiencesYou are passionate about making data available for self-service and wider integrationYou can craft scalable systems and solutions to realize a range of product and engineering goalsYou 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 24x7You prioritize observability in your designs, ensuring systems are equipped with comprehensive monitoring, logging, and alerting to facilitate proactive issue detection and resolutionYou own what you build, beyond just your code and have a passion for qualityYou are comfortable working in the most agile of environments with vague requirementsYou are nimble and can pivot easily when neededYou are unafraid to take smart risksYou relate to and embody many aspects of Netflix's CultureYou love working independently while also collaborating and giving/receiving candid feedbackBenefitsHealth PlansMental Health supportA 401(k) Retirement Plan with employer matchStock Option ProgramDisability ProgramsHealth Savings and Flexible Spending AccountsFamily-forming benefitsLife and Serious Injury BenefitsPaid leave of absence programsFull-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time offFull-time salaried employees are immediately entitled to flexible time offCompany OverviewNetflix 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 SponsorshipNetflix 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.