Software Engineer applicants have rated the interview process at Datadog with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 40% positive. To compare, the company-average is 49% positive. This is according to Glassdoor user ratings.
Candidates applying for Software Engineer roles take an average of 28 days to get hired, when considering 122 user submitted interviews for this role. To compare, the hiring process at Datadog overall takes an average of 26 days.
Common stages of the interview process at Datadog as a Software Engineer according to 122 Glassdoor interviews include:
Phone interview: 32%
One on one interview: 23%
Skills test: 13%
Presentation: 11%
Group panel interview: 6%
Background check: 5%
Other: 4%
Personality test: 3%
Drug test: 2%
IQ intelligence test: 2%
Here are the most commonly searched roles for interview reports -
I applied in-person. I interviewed at Datadog (Paris) in Feb 2025
Interview
HR call 20-30min
1st coding round
If you did great at the first coding round: 1 more coding round + system design + behavioral interview
If you did well, you'll get one or more team matches
Interview questions [1]
Question 1
Are you ok with coming back to the office 3 days a week ?
One knowledge interview and one technical interview afterwards. Knowledge was fine. During the tech one, the interviewer was not listening. The problem was a standard one. Got rejected after second round.
Interview questions [1]
Question 1
Knapsack problem with coins, solved via dynamic programming
Screening RH, qui mentor durant le process, puis deux rounds, le deuxième avec 4 test différents. Bon feedback tout du long. C'est fluide et le RH est là pour aider à préparer les sujets.
El proceso constó de tres fases principales. Primero, apliqué online a un puesto de trabajo disponible. Posteriormente, pasé a una entrevista técnica de aproximadamente una hora, enfocada principalmente en el desarrollo, integración y securización de APIs. También discutimos estrategias de despliegue, monitorización y gestión de recursos en la nube utilizando el ecosistema de Azure. Por último, realizamos un ejercicio conversacional sobre buenas prácticas de código y arquitectura. Fue un proceso fluido y el equipo fue muy profesional.