Staff Software Engineer - Datadog for Developers
Datadog
- Salary
- $234k - $300k
- Experience
- 10+ yrs
- Location
- New York, New York, USA
- Job type
- Full-time
Required skills
- software
- engineering
- ai
- ci/cd
- debugging
- developer tools
- large language models
- machine learning
About the role
Datadog is looking for a Staff Engineer to join the Datadog for Developers team. This role is a unique opportunity to lead from the front: shaping how developers build, test, deploy, and debug software across our entire platform. You'll focus on delivering powerful, AI-enhanced tools and experiences that meet developers where they are—in their IDE, CI/CD pipeline, source control, or the Datadog web UI.
You will help build and scale systems that offer full visibility into the software delivery lifecycle, and you'll work directly with product teams to integrate Datadog into daily engineering workflows. Whether it's in a GitHub pull request, a terminal, or an interactive dashboard, your work will help developers ship high-quality software, faster.
A major aspect of the role involves leveraging AI to automate fixes and guide debugging across the development lifecycle. You'll develop systems that detect and resolve issues like runtime errors, performance regressions, flaky tests, and code vulnerabilities—whether they surface in CI or production. These systems will empower engineers to move quickly while maintaining confidence in the code they ship.
As a Staff Engineer in this space, you'll play a pivotal role in pushing the boundaries of developer experience for Datadog customers, driving innovation that directly impacts thousands of engineers every day.
About Datadog
We're on a mission to build the best observability 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.
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