[Remote] Distributed Systems Engineer (L5) - Commerce Product Data Engineering
Note: The job is a remote job and is open to candidates in USA. 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.
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
Skills
- 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 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 230 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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