Tell Us Why You Are Interested in Building an Engineering Career at Datadog

Datadog's job application ends with a free text box. It reads: "Tell us why you are interested in building an engineering career at Datadog."

That box is not a formality. A recruiter reads it before deciding on the first call.

The box shows no word limit. Candidates report writing 150 to 250 words, which is about five to eight sentences. Shorter than 100 words looks careless. Longer than 300 words does not get read to the end.

Note the exact wording. The form does not ask why you want the job. It asks about a career in engineering at this company. So write about the kind of work you want to do for years, not about one opening.

The Four Parts of a Good Answer

Keep the order. The problem first is what makes the rest believable.

Why the Problem Comes First

Datadog sells observability, which means the ability to understand a running system from the outside. Almost every engineer has met that problem. An alert fires, and nobody can say which service caused it.

If you open with that story, your interest sounds earned. If you open with "Datadog is a leader in observability," it sounds copied.

Sample Answer: Backend Engineer With Four Years of Experience

"Two years ago my team ran a checkout service across nine microservices. We had metrics in one tool, logs in another, and no tracing at all. During a bad week we spent six hours finding a retry loop in a service nobody suspected.

I built our first tracing setup after that. It was simple, and it still cut our median time to find a cause from 40 minutes to 12 minutes. That single change taught me what I want to work on.

Datadog puts metrics, traces, and logs in one platform, so that six hour search should not happen to anyone. I want to work on the ingestion and query side of that platform, because that is where the cost and the speed are decided.

The engineering career I want is in systems that other engineers depend on during their worst hour. Datadog does a lot of that work."

Sample Answer: New Graduate or Intern

"In my systems course I built a small metrics store. It worked for one team and stopped keeping up at about 5,000 points per second. Making it faster meant learning about time series compression, and that turned into the best month of the degree.

Datadog runs that same problem at a scale I cannot build alone. I want an engineering career where storage and query performance are the job, not a side task.

I also want to learn in public. My project notes are on my profile, including the parts I got wrong. Working with engineers who write about their own tradeoffs is how I expect to get better fastest."

What Reviewers Score

• Specific over enthusiastic. One number and one product area beat five adjectives.
• Your work, not the company's. Half the answer should be about something you did.
• A career shape, not a job title. Say what you want to be good at, then name the role.
• Plain language. Short sentences read as confident. Long ones read as padded.

Mistakes That Cost You the Screen

• Copying the product page back to the company.
• Writing an answer that would fit any employer.
• Naming a product the company does not sell.
• Leaving the box blank or writing one line.

How to Prepare

• Draft it in a document, not in the form. Browsers lose text. Paste the final version in.
• Read the shorter version of this question. Why do you want to join Datadog covers the spoken version and the company values.
• Know the rounds you are writing toward. The Datadog interview process lists each stage.
• Turn the written answer into a spoken story. Grokking Modern Behavioral Interview gives the structure interviewers score.
• Prepare the technical rounds in parallel. Grokking the System Design Interview covers the metrics and logging designs Datadog asks about.
• See what other candidates met. Datadog interview notes from Reddit list real questions.