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
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!
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