Historically, profilers have been used during development or as one-off experiments in non-production environments to optimize programs’ resource usage, latency, or to debug certain problems. The Continuous Profiler team is building a cutting-edge profiling product that has low enough overhead that it can be run continuously in production. This allows users to have much better profiles since they’re based on real workloads at real scale, and can help solve production incidents.
Our goal is to help our users reduce their software’s resource usage (saving money and decreasing environmental footprint), decrease latency, and fix bugs.
We’re looking for a detail-oriented engineer who’s interested in expanding the possibilities of our customers who are writing and debugging Python code.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

• You’ll drive the technical approach and implementation of the best Python profiler in the world – working in our open source repos to add cutting-edge functionality and debug tricky problems that our customers encounter.
• You’ll help us continue to raise the bar on the quality of our code, the stability of our profilers, and the fidelity of the data we collect without increasing overhead.
• You’ll help define priorities and build out the roadmap, along with your team, product manager, and other stakeholders.