Distributed Systems Engineer for Scala / Spark

Sharethrough is the largest & most sophisticated platform for in-feed, native monetization. Built for the new paradigm of modern content marketing, Sharethrough is a mobile-first, content-driven platform for advertisers to engage users with quality content, integrated natively to each site it lives on + for publishers to monetize with premium ads while maintaining a high quality user experience.

Sharethrough is looking for engineers interested in tackling the problems of building large-scale, distributed- and stream-based processing systems.

* Building fault-tolerant micro-services * Enhancing a low-latency decisioning engine responsible for complex predictive behavior (at thousands of requests per second) * A streaming data pipeline supervising millions of daily events

* You have experience with delivering multithreaded and/or distributed JVM-based systems. No experience with Scala? Come learn! * You have experience with Spark and/or Spark Streaming or similar stream-based processing systems. Experience with Hadoop-based pipelines, maybe a bit of Cascading or Scalding? That works too, come give Spark a shot. * What you're building is as important to you as why you're building it.