Datadog is on a mission to build the best monitoring tools under the sun. We collect an extraordinary amount of data every second from customers all over the world.
As an engineer on our Developer Efficiency team, you'll work on our sophisticated dev environment, our build, test, and deploy tools, and anything else you can think of that will let us ship faster and more safely! This team gives Datadog a competitive advantage in engineering velocity and resiliency. You will work with product teams to meet the evolving needs of our high-throughput, low-latency distributed systems. The decisions you make will have a significant impact not only on our development velocity, but that of our customers.
We're looking for developers who can't help but notice and improve the efficiency of workflows and tools. If the idea of making tests run in 30 seconds instead of 5 minutes, and making the code easier to read while you’re at it sounds exciting, we’d love to talk!
Our engineering culture values pragmatism, honesty, and simplicity. By joining us you will influence and own significant chunks of our tooling and developer infrastructure as we continue to scale and help our growing customer base do the same.
- You like a mix of coding, ops, and wiring together the right low level pieces; whatever’s the best way to solve the problem at hand
- You’re comfortable diving into new code bases when needed
- You know when you can move fast, and which changes need extra care
- You have a strong focus and commitment to the evolving needs of engineering teams
- You want to work in a fast, high-growth startup environment that respects its engineers and customers
- You speak Python and/or Go
- You have experience working on dev tools or a complex CI/CD pipeline
- You've worked with Docker, Kubernetes, Chef, Terraform, and/or Gitlab before
- You have SRE experience