Le processus a pris 3 semaines. J'ai passé un entretien chez Datadog (New York, NY) en févr. 2019
Entretien
Initial call with recruiter who was very nice. Moved onto technical video screen. Had a few issues with their internet connection so moved to a phone call. Started off with talking about my background and then his background. Had two pretty easy algorithm questions. I didn't get one part of the questions right and he had a bit of an attitude when I was incorrect. Passed that and was given a take home assignment. Was pretty straightforward but I had many other interviews going on at the same time and preparing for those is already a full time job. Having to spend 8-10 hours on this seemed like a waste of time and is asking too much from a candidate. Simple google search and you can find other people who have posted the project on their Github. The onsite would have consisted of more algorithm questions, system design and behavioral portion. Overall would have been a lengthy process so I stopped before doing the take home project. Hopefully they change the process for future candidates!
Questions d'entretien [1]
Question 1
2 algorithm questions, take home was designing an http log monitor
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.
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