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.

What You’ll Do:

• 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.

Who You Are:

• You have deep knowledge of C++ and/or Rust and have experience working with subtle concurrency constraints. You’ve also done at least some Python development.
• You have good communication skills (the team is distributed).
• You’re attentive to details and can build software with very low defect rates.
• You’ve used profilers or done other forms of performance engineering and know how to write efficient software.
• It’d be nice if you have experience hacking on CPython or other language runtimes. Or an interest in writing low-level language or systems tools like profilers, compilers, debuggers, or OSes.
• You’re interested in an environment that values shipping early and iterating, and keeping process to the minimum needed to ensure safety. You enjoy owning projects and can keep moving forward despite the occasional ambiguity or blocker.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Skilled, knowledgeable, and kind teammates [1] to work with and learn from.
• Interesting challenges of all sorts [2][3]. You’ll gain experience with low overhead [4] sampling profilers, runtime internals [5], low-level OS details, and how to safely ship software that runs within customer processes at scale.
• Opportunities to contribute to open source software, like language runtimes [6].
• You’ll have a lot of influence on product direction and impact on the business.
• Competitive global benefits.
• Continuous professional development.

[1] https://github.com/DataDog/go-profiler-notes/blob/main/guide/README.md

[2] https://nsrip.com/posts/clobberfp.html 

[3] https://ivoanjo.me/blog/2022/07/17/tracing-ruby-global-vm-lock/

[4] https://felixge.de/2022/02/11/profiling-improvements-in-go-1.18/

[5] https://github.com/dotnet/runtime/pull/72627

[6] https://mail.openjdk.org/pipermail/hotspot-jfr-dev/2020-September/001754.html

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

Requisition ID: R13397