Datadog’s behavioral questions sit in the experience and values interview, usually with a hiring manager or director of engineering, and in a shorter part of the recruiter call. The interview is built around one past project: interviewers ask you to describe it, then probe the architecture, the hard parts and what you would change, and they add standard behavioral questions such as why Datadog, a disagreement and a mistake. A New York candidate in April 2025 had a separate values interview alongside the past-project interview.
Datadog does not publish a formal list of values the way some companies do. Its careers site describes people who solve tough problems, innovate pragmatically and grow together, and it highlights transparency in hiring. Use those three phrases as the themes for your stories. Round-by-round loops are on the Datadog interview experience page, and the technical rounds are on the Datadog interview questions hub.
How the Datadog experience interview works
| Part | What happens | How to prepare |
|---|---|---|
| Project walkthrough | You describe one project end to end | Two-minute summary, then detail on request |
| Technical probing | Questions on a design you built, scale, failures | Know your data model, bottlenecks and trade-offs |
| Behavioral | Standard “tell me about a time” questions | Four or five stories with measured results |
| Your questions | Team, on-call, team matching | Ask about matching and first projects |
Common Datadog behavioral questions
1. Describe a project you worked on, personal or professional
Datadog asks this in nearly every loop; a Paris intern spent the first part of a 75-minute technical interview on it. Pick one project and cover the problem, your design, one hard bug, how you measured success, and what you would change. Keep the summary to two minutes and let the interviewer pull on details.
2. Walk me through the architecture of a past project
The experience interview often includes technical questions about a simple design you built. Draw the components, the data flow and the storage, then explain one trade-off, such as why you chose Postgres over a document store or a queue over direct calls, and what broke under load.
3. Why Datadog?
Be specific about the product: you used APM traces to find a slow endpoint, built a dashboard for a class project with the free student Pro account, or care about observability because you were on call. Connect it to the kind of team you want to join after team matching.
4. What do you want to work on next?
Recruiters ask this in the first call, and it matters for team matching later. Name an area (backend data pipelines, frontend for dashboards, infrastructure, security) and a reason based on something you have done, not a list of everything.
5. Tell me about a time you debugged a production issue
Datadog builds monitoring tools, so incident stories land well. Example: “Checkout errors spiked after a deploy. I compared error rates by version, found one host pool on the new build, rolled it back in 10 minutes, then found a missing config key. I added a startup check so the service fails fast if the key is absent.”
6. Tell me about a technically hard problem you solved pragmatically
Datadog’s careers site says its people solve tough problems and innovate pragmatically. Show a case where you shipped a simpler solution that met the real requirement, for example a nightly batch instead of a streaming system, and explain how you knew it was enough.
7. Tell me about a time you helped a teammate grow
Datadog describes growing together as part of its culture. Give a concrete act: reviewing a new hire’s first design, writing a runbook, or pairing on a hard bug. Say what the teammate could do afterward that they could not before.
8. Tell me about a disagreement on a technical decision
Describe the options, the data you gathered, how the decision was made and whether it was right. Interviewers want to see that you can disagree, commit and follow up, not that you always win.
9. Tell me about a time you missed a deadline or made a mistake
Choose a real miss, own it in one sentence, then spend most of the answer on the fix and the habit you changed, such as breaking estimates into tasks under a day or adding a pre-merge check.
10. How do you decide what to test?
Datadog’s practical coding rounds grow with new requirements, so testing habits come up. Answer with a rule: test boundaries and malformed input first, then the main path, then concurrency if state is shared, and add a regression test for every bug you fix.
11. How did you learn a new technology quickly?
Pick a recent example with a deadline: learning Kubernetes to deploy a project, or Go for an internship. Describe how you learned (docs, a small prototype, reading existing code) and what you shipped with it.
12. Do you have any questions for us?
Ask how team matching works and how long it usually takes, what the on-call rotation looks like, how the team uses Datadog’s own products internally, and what a strong first six months looks like.
Answers that hurt in the Datadog behavioral round
- A project you cannot explain beyond the part you personally wrote
- No numbers: no latency, error rate, users or data size
- Describing an incident without what you changed to stop it happening again
- Not knowing what Datadog’s main products do (infrastructure monitoring, APM, logs, security)
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