Distributed Systems Engineer

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or high-scale infrastructure. Because Datadog collects metrics and events from 100+ different technologies and services out of the box, including other monitoring tools, you can monitor your entire stack in one place, without any gaps.

We’re on a mission to bring sanity to cloud operations and we need you to build the data pipelines to ingest, store, analyze and query hundreds of billions of events a day.

* Build distributed, high-throughput, real-time data pipelines * Do it in Go and Python, with bits of C or other languages * Use Kafka, Redis, Cassandra, Elasticsearch and other open-source components * Join a tightly knit team solving hard problems the right way * Own meaningful parts of our service, have an impact, grow with the company

**Who you must be** * You have a BS/MS/PhD in a scientific field * You have significant experience with Go or Python on the back-end * Before that, you've mastered a JVM Language or C/C++ * You can get down to the low-level when needed * You tend to obsess over code simplicity and performance * You want to work in a fast, high growth startup environment **Bonus points** * You wrote your own data pipelines once or twice before (and know what you did wrong) * You have battle scars with Cassandra, Hadoop, Kafka or Numpy * You are very curious about Apache Spark * You have a strong background in Stats