Netflix is the world's leading internet streaming service with over 100 million members in 190 countries. Our members enjoy more than 125 million hours of streamed video per day, on over 1000 different types of devices. The product experience is delivered by calling into a complex distributed system of services running in the cloud. With all the usage, our telemetry data volumes continue to rise. Operating at this scale requires extremely high levels of observability and automation. The Edge Insights team develops and operates the infrastructure that processes this data in realtime and provides insights that engineers depend on to measure, visualize, investigate, and optimize how customers experience their services. More About the TeamThe team is part of the Edge Engineering organization where most of the tier-1 critical services reside within Netflix. We combine deep domain knowledge of Edge and Playback systems, insights from real time data streams and dynamic visualization to build the best in class observability suite. Here is a link to a talk from an engineer on the team: https://youtu.be/uODxUJ5Jwis Role:We’re looking for a passionate, experienced UI/Data Visualization Engineer who will own and build new, high-impact web application to make “large” data both understandable and actionable.
More on the role:
Be product-focused, driving the design, development, and implementation in order to turn a user’s pain-points into simple and elegant solutions that are loved.
Build data visualizations using libraries like D3.js
Develop visualizations that enable Netflix engineers and leaders to explore and understand data
Be driven and bias toward autonomy. Take full ownership of a product or feature from concept to launch.
Understand usability issues in a web application
Required Skills & Experience:
BS or MS in Computer Science or equivalent engineering experience
7+ years of relevant software development experience
Exposure to and/or experience in the following :
Understanding of how to present and visualize complex data
Understanding of visualizing streaming data
Commercial and/or open source technologies in the log management, distributed tracing and analytics domains e.g. LogStash, Splunk, Zipkin, New Relic etc.
At Netflix, we like to move fast, bias towards action, and rely on great people to make good judgment calls. You should also love solving real problems and making an impact for the company, your partners, and your teammates. Things also change fast and often, so you need to be able to function well with ambiguity and be comfortable making decisions under uncertainty. For more on the Netflix culture, read our culture document. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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