Senior Distributed Systems Engineer, Data Analytics Optimizely
San Francisco, CA

Job Description

Job Description

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, based primarily on the Hadoop Ecosystem on AWS, processes billions of events a day and we've built many sophisticated data pipelines that can power a variety of analytical queries at web scale.

We are looking for a strong Senior Distributed Systems Engineer to build cutting-edge capabilities on the Data Platform for our rapidly growing enterprise customer base.

This is a unique opportunity for you to shape the future of Optimizely's Data Platform.

* You will scale and operate business-critical services that are built on cutting-edge technologies such as Apache Kafka, Samza and HBase at web scale.


* You will build highly scalable systems and services that ingest, deduplicate, count, aggregate, store, and archive billions of events as well as serve real-time analytics insights.


* You'll 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).


* Examples of projects you'll work on: a true Lambda architecture for large-scale, real-time querying, real-time server-side enrichment of events for top-notch client (browser) performance with Optimizely, identity inference, new analytical capabilities, etc.