Research Engineer

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or high-scale infrastructure. Because Datadog collects metrics and events from 100+ different technologies and services out of the box, including other monitoring tools, you can monitor your entire stack in one place, without any gaps.

We are building a small, specialized team within one of the fastest-growing startups in New York. We are looking for engineers who enjoy researching and writing about technologies to join us on a full-time basis. Our team’s primary goal is to pitch, research, and write in-depth articles that software engineers and ops engineers will want to read, discuss, and share with their peers.

Datadog is the leading service for cloud-scale monitoring. There’s a lot packed into that sentence, and if we talk in person we’ll be happy to discuss what it means and why it is a very powerful statement. The important thing for now: our product was built by engineers, for engineers, so we aim to be deeply knowledgeable, accurate, engaging, and useful in all of our communications. We don’t write fluff.

• Identify and define articles that Datadog should create.
• Write articles that are authoritative, practical, and clear, such as:
  • Deep dives on modern technologies
  • In-depth monitoring guides or use-cases
  • Thought leadership pieces
• Continually measure reader engagement with content, and iterate to improve content definition, craft, and distribution.

• You have a CS degree or have worked as a professional software/ops engineer.
• You have publicly available writing samples, whether technical or nontechnical.
• Successful candidates will be comfortable learning new technologies and turning complex topics into clear prose.