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 Site Reliability teams at Datadog are responsible for ensuring that our high-volume, low-latency environments continue to perform around the clock. These teams collaborate closely with our product engineers to ensure that Datadog can monitor millions of servers and containers, ensuring our customers always have dependable and actionable data at their fingertips. You’ll be responsible for shaping the infrastructure of our data-intensive, real-time services as we continue to grow at petabyte scale.
- Keep our service reliable, available and fast
- Respond to, investigate and fix service issues, whether they be deep in the OS kernel or in the application code.
- Design, build and maintain the infrastructure we need to support orders of magnitude more customers.
- You have a track record working with large-scale distributed systems, preferably in the cloud OR you have a BS/MS/PhD in a scientific field or equivalent experience
- You value correctness and efficiency; you leave no stone unturned when diagnosing production issues
- You handle infrastructure with code because automation lets you focus on the more difficult and rewarding problems
- You have production experience with distributed compute/storage tools, e.g. zookeeper, cassandra, postgres, kafka, elasticsearch, redis
- You have submitted bug fixes to the aforementioned projects
- You are fully fluent in python, ruby and go
Is this you? Tell us why, and apply now. Include links to your github, stackoverflow or other online projects.