The interview questions covered a broad range of topics, including my experience in AWS and Kubernetes architectures, problem-solving abilities, and scenarios related to application modernization. They assessed my technical proficiency, understanding of industry best practices, and how well I could articulate complex concepts. The questions were thought-provoking and designed to evaluate both my technical skills and my ability to contribute effectively to the team.
Most questions were related to previous experience in this field of work as well as product related knowledge which was applicable to my previous and now current role. Besides technical questions, there were also behavioural questions, to make sure I had an understanding of the company's culture and would fit in.
Explain when you would not use autovacuum on postgres? What makes you the happiest in your work? How does working remotely with limited face to face contact make you feel?
AWS service specifics, like for EC2, S3, Cloudfront.
There were various interviews but the technical one was not that difficult. The core of the questions was infrastructure, networking components, and at time implementation details for typical clients use cases.
How do you prioritize your workload?
Behavioural questions like "Tell me about a time..." and some technical questions relating to my core cloud competency/domain.
What happens when user types in an address and accesses a URL on a browser.
- Tell us about a project you worked in the last 6 months. - Tell us a bout the situation you had disagreement with other people.
1. about project and cloud concept. Must know or have worked in Python.
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