Flexible work and fair pay. They give an additional benefit of around 50k for wellbeing and mobile purchase.
The workload is always very high. The expectations are set very high.
Round 1: Resume Screening Round 2: Video Interview where you record your responses to some generic questions. Round 3: Technical Interview on data engineering questions and a case study on a business problem.
Multiple rounds. Each round with increasing difficulty, as the interviewer is more senior in every round. HR is very strict with the negotiation process. Need to be an expert with experience in the tools as described in the CV.
They started with the basics of DevOps, then most of the questions were on CI/CD, Kubernetes, and Terraform. There were also some advanced questions on Kubernetes, like custom auto-scaling of pods without relying on CPU and memory, using HPA.
Round 1: Resume Screening Round 2: Video Interview where you record your responses to some generic questions. Round 3: Technical Interview on data engineering questions and a case study on a business problem.
Multiple rounds. Each round with increasing difficulty, as the interviewer is more senior in every round. HR is very strict with the negotiation process. Need to be an expert with experience in the tools as described in the CV.
They started with the basics of DevOps, then most of the questions were on CI/CD, Kubernetes, and Terraform. There were also some advanced questions on Kubernetes, like custom auto-scaling of pods without relying on CPU and memory, using HPA.