Software Engineer - Distributed Systems at Datadog
New York City, NY, US / Paris, FR / Boston, MA, US
At Datadog, we’re on a mission to bring sanity to cloud development and operations. We need to make the heterogeneous, complex data we collect easy for users to comprehend and act upon.

As a engineer working on our distributed systems, you will build the high-throughput, low-latency systems that power our product. Your data pipelines will ingest, store, analyze, and query tens of millions of events per second from companies all over the globe.

Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way. Join us to own significant chunks of our architecture, design and build resilient systems, and ship to production every day for customers who care deeply about what you build.

In this role, you will:

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
Own meaningful parts of our service, have an impact, grow with the company

You have a BS/MS/PhD in a scientific field or equivalent experience
You have significant backend programming experience in one or more languages
You can get down to the low-level when needed
You care about code simplicity and performance
You want to work in a fast, high-growth startup environment that respects its engineers and customers
Bonus points

You wrote your own data pipelines once or twice before (and know what you'd like to change)
You've built high scale systems with Cassandra, Redis, Kafka or Numpy
You have significant experience with Go, C, or Python
You have a strong background in stats