J'ai postulé en ligne. J'ai passé un entretien chez DigitalOcean (New Delhi) en janv. 2021
Entretien
Applied through company website. Too many rounds of interviews starting with online assessment, recruiter screening and with different team leads. Long process.
I was little confused as they did not offer but then the feedback was also not negative.
May be they have to stop wasting someone's time if they did not want to hire, just making them attend multiple interviews.
Questions d'entretien [1]
Question 1
Most of the questions are troubleshooting related to databases, web applications.
Kubernetes
linux related
J'ai postulé en ligne. Le processus a pris 3 semaines. J'ai passé un entretien chez DigitalOcean en oct. 2021
Entretien
The interview process was online. Each round took 45 minutes. The whole process took 1 month. Technical Assessment round, Cultural fit round, Technical round, Initial discussion, and final discussion rounds.
J'ai postulé via la recommandation d'un employé. Le processus a pris 1 semaine. J'ai passé un entretien chez DigitalOcean (Bengaluru) en oct. 2021
Entretien
The interview process was very good. There were multiple rounds of interviews (Technical, Cultural etc)
The interviewers made me feel comfortable throughout the interview process.
First I had the cultural round of interview followed by the technical round. The cultural interview was more about the employee's work culture and if he would adjust to DO's work culture.
Questions d'entretien [1]
Question 1
Linux basics , load balancer, linux troubleshooting, LAMP
J'ai postulé en ligne. Le processus a pris 2 semaines. J'ai passé un entretien chez DigitalOcean (India, TX) en sept. 2021
Entretien
The interview was based on kubernetes. The interview process was very smooth and the questions were related to actual customer issues. The interviewer explained the job role in detail. The manager round was also conducted very nicely to get to know the candidate profile correctly.
Questions d'entretien [1]
Question 1
1. Basics of Kubernetes
2. Real life customer based scenarios