Software Engineer - Distributed Storage (Go)

USA Only
About Datadog:
We're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.

The team:
As an engineer working on our Distributed Storage team, you will be building our high-scale distributed databases serving time series data throughout the product. You will be working with various distributed sharding strategies towards optimizing scalability and availability, and making low-level improvements which have an outsized impact on Datadog’s overall query performance and scalability.

You will:

Build distributed, high-throughput, time series databases
Do it in Go and using tools such as LevelDB and RocksDB
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've worked on distributed databases, or maybe built your own
You've built high scale systems with Cassandra, Redis, Kafka or Numpy
You have significant experience with Go, Rust or C++
You have a strong background in stats