Remote Job Description

Distributed Systems engineers at Datadog design, implement and run in production the foundational platforms powering our applications. Your data pipelines will ingest, store, analyze, and billions of events per second from companies all over the globe. The platforms are optimized for durability, high availability, internet-scale footprint and operability.

You Will:
  • Build fault-tolerant, horizontally scalable solutions running in multi-tenant environments.
  • Do it in Go, Java Rust or C++, amongst 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 Are:
  • You have a BS/MS/PhD in a scientific field or equivalent experience
  • You have significant backend programming experience in one or more languages (Go, Java, Rust, C++)
  • 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 Kafka, Zookeeper, ElasticSearch, RocksDB, FoundationDB or Cassandra
  • You have worked on complex implementations featuring multi-threading, async IO, advanced scheduling and resource management

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—allowing for seamless collaboration and problem-solving among Dev, Ops and Security teams globally for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.