I had a great experience interviewing at Datadog. The interviews involved a typical mix of questions: a coding interview with a focus on algorithmic complexity knowledge, a design interview, and multiple interviews focusing on my experience and knowledge. I was given a packet of information before the interviews to help me prepare, so I knew what to expect going in. I found the interviewers polite and professional, and I thought the questions were fair given the position I was applying for.
Questions d'entretien [1]
Question 1
The technical question asked me to implement a simple multiple-producer single-consumer event queue, merging events coming from different sources. I was asked to handle various edge cases, and we discussed the computational complexity of the algorithms I used extensively. We used JavaScript, but I was told that any language I was familiar with would be fine.
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.
Questions d'entretien [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.