
B2C • eCommerce • Media
Netflix is a global streaming service that offers a wide variety of award-winning television shows, movies, anime, documentaries, and more on thousands of internet-connected devices. It allows users to watch instantly and provides original content produced by Netflix itself, catering to diverse tastes. As a pioneer in original programming since its first series in 2013, Netflix aims to entertain audiences worldwide through immersive storytelling and innovative technology.
- employees
Founded 1997
👥 B2C
🛍️ eCommerce
📱 Media
💰 $20M Post-IPO Equity on 2022-01
November 26
🇺🇸 United States – Remote
💵 $170k - $720k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
⛓️ Blockchain Engineer
🦅 H1B Visa Sponsor

B2C • eCommerce • Media
Netflix is a global streaming service that offers a wide variety of award-winning television shows, movies, anime, documentaries, and more on thousands of internet-connected devices. It allows users to watch instantly and provides original content produced by Netflix itself, catering to diverse tastes. As a pioneer in original programming since its first series in 2013, Netflix aims to entertain audiences worldwide through immersive storytelling and innovative technology.
- employees
Founded 1997
👥 B2C
🛍️ eCommerce
📱 Media
💰 $20M Post-IPO Equity on 2022-01
• Partner closely with data scientists and engineers to build low-latency data products • Empower product managers and business leaders to experiment and innovate on product experiences • Develop highly available and reliable distributed data systems and services • Ensure timely delivery of high-quality data for use in Netflix product • Own what you build, ensuring high quality • Work in an agile environment with vague requirements • Pivot easily when needed and take smart risks
• 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 • Product mindset and curious to understand business's needs • Naturally collaborative style to work with product management, data science, engineering, etc. • Strong data intuition and analytical skills • Experience building applications that use large-scale distributed systems • Knowledge of data processing frameworks (batch and real-time) e.g. Spark, Flink • Understanding of how ML systems consume data —features, inference inputs, labels, and reward signals • Passionate about making data available for self-service and wider integration • Ability to craft scalable systems and solutions • Strong operational awareness and design multi-tenant systems • Prioritize observability in design
• Health Plans • Mental Health support • 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 • Full-time salaried employees are immediately entitled to flexible time off
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