At Optimizely, the Data Platform is the core foundation driving all our Experimentation and Personalization products that directly impact the customer experience. The Platform is leveraged across all product lines from spanning Analytics, Targeting, Recommendations and large-scale Ingestion. This platform processes billions of events a day and we've built many sophisticated, real-time data pipelines that can power a variety of analytical queries at web scale.
We are looking for a strong Backend Engineer to build cutting-edge analytical capabilities on the Data Platform for our rapidly growing enterprise customer base.
Why is this exciting for you?
We have recently made a strategic bet on the modern Data Science technical stack using Notebook technology as our next general Analytical offering. We are just getting started on this new, exciting Product and you'll play a key role in influencing this Product's roadmap and direction
You will build highly scalable systems and services that ingest, deduplicate, count, aggregate, store, and archive these events as well as serve real-time analytics insights.
You'll be challenged to engineer solutions that need to work at enterprise grade for our customers that send us their user activity events at web scale (6B+ and multiple TB/day).
Team's accomplishments and contributions:
Our Streaming Analytics architecture in highscalability, one of the top sites for Distributed Systems architectures
Our presentation at LinkedIn's Stream Processing Meetup on our use of Samza for Sessionization:
Our presentation in Apache Big Data Conference '17 in Miami on the use of a Lambda architecture with Streaming:
Apache Samza Case Study of Optimizely's Streaming use cases
Our Engineering blog