Netflix Logo

Netflix

Software Engineer (L4) - CKG

Posted 6 Days Ago
In-Office
Los Angeles, CA
170K-720K
Mid level
In-Office
Los Angeles, CA
170K-720K
Mid level
As a Full Stack Software Engineer, you will scale online data systems, build APIs, and collaborate with teams to enhance the Netflix Knowledge Graph.
The summary above was generated by AI

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Netflix is the world's leading internet streaming service with over 250 million members in 190 countries. Our members enjoy a wide variety of streamed videos per day, using over 1000 types of devices, generating more than a third of downstream Internet traffic in North America. The Content Knowledge Graph team within Data Science & Engineering equips scientists, engineers, and business executives with a global understanding of the entertainment industry “on & off-service”. Our flagship product, Netflix KG (“Hitch”), a data and analytics foundational layer, is a data pillar for 100s of diverse use cases across Netflix: from enabling content and marketing business executives to make better data-driven decisions to equipping AI/ML scientists with signals that power billions of daily predictions, to providing key inputs to engineering teams building business-critical applications. Hitch is a foundation for innovation that is helping to fuel Netflix’s long-term growth.  We are looking for a Full Stack Software Engineer to own and scale our online data systems while supporting high-visibility data pipelines and products. As part of this team, you will work on a diverse tech stack to build insightful tools, apps, services, and libraries that describe the entities, interactions, and usage patterns across the Netflix Knowledge Graph. You will collaborate closely with other Data Engineers, Machine Learning Engineers, Scientists, and business analysts to build scalable access patterns for them. Who you are:
  • You would consider yourself a full-stack developer. You have experience in both backend and frontend development for a good part of your career and expertise in owning and maintaining backend services.
  • You are proficient in designing, building, and operating API layers that support various front-end user experiences. Experience with GraphQL and Node.js is a big plus.
  • API and SDK development: You have built, maintained, evolved, and/or sunset a variety of APIs and libraries/SDKs.
  • You are proficient in working with Javascript, React, or other similar technologies. Proficiency in Python or Java is a big plus.
  • Comfortable with SQL and using big data technologies (e.g. Hive, Presto, Spark, Iceberg, etc) on medium to large-scale data.
  • You are willing to learn and own all areas of the software lifecycle: design, development, test, deployment, operation, and support.
  • Conceptually familiar or interested in learning graph technologies (e.g. databases, data models, query languages)
  • You have strong communication skills and can collaborate with cross-functional team members and partners on projects that drive high-impact outcomes
  • Excited about learning new business domains, demonstrating excellence, and growing your career 
What you will do:
  • Work cross-functionally to build new services, tools, and data models to develop easy-to-use data access patterns for knowledge graphs.
  • Building intuitive user interfaces backed by data in offline systems and APIs
  • Evaluate new technologies and approaches to streamline and improve our rapid application development tooling and conventions.
  • Regularly learn new systems and tools as the Netflix platform and ecosystem evolve.
  • Understand business requirements and provide tools that empower teams to innovate on top of the Netflix KG
  • Join a stunning team with diverse skill sets (data engineering, machine learning, analytical engineering and software engineering),  partnering closely with data science, analytics, and business counterparts
Netflix offers amazing co-workers, new technology, fascinating analytical and technical challenges, and a Freedom & Responsibility Culture that's truly outstanding. It’s worth learning more: http://jobs.netflix.com/culture Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000 Netflix provides comprehensive benefits including 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, and Life and Serious Injury Benefits. We also offer 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. See more detail about our Benefits here. Netflix is a unique culture and environment.  Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Top Skills

GraphQL
Hive
Iceberg
Java
JavaScript
Node.js
Presto
Python
React
Spark
SQL

Netflix Los Angeles, California, USA Office

5808 W Sunset Blvd, Los Angeles, CA, United States, 90028

Similar Jobs

An Hour Ago
In-Office
Mountain View, CA, USA
120K-207K Annually
Mid level
120K-207K Annually
Mid level
Aerospace • Artificial Intelligence • Hardware • Robotics • Security • Software • Defense
The Product Test Engineer validates and deploys automated test systems, performs root cause analysis on defects, and collaborates with engineering teams to enhance product quality.
Top Skills: LabviewMatlabPython
An Hour Ago
In-Office
4 Locations
165K-242K
Senior level
165K-242K
Senior level
Cloud • Information Technology • Machine Learning
Design and implement high-performance storage solutions, optimize performance, and collaborate across teams to support CoreWeave's infrastructure needs.
Top Skills: CCephClickhouseDaosGoGpu Direct StorageGrafanaKubernetesPrometheusRdmaRustSpdk
An Hour Ago
Easy Apply
Hybrid
Long Beach, CA, USA
Easy Apply
245K-318K Annually
Senior level
245K-318K Annually
Senior level
3D Printing • Aerospace • Hardware • Robotics • Software • Manufacturing
Lead the avionics testing program at Relativity Space, integrating systems across teams, managing requirements, and developing hardware and software components for testing.
Top Skills: GitPython

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account