I find the overtime regulation and sabbatical options to be good. The offices are very special, as is the collaboration with colleagues. Projects are managed and structured professionally. The management also always acts professionally.
As a first experience after graduation, one can get to know many major clients and work internationally. And you learn the entire spectrum of IT, from conception, development, testing, operation, and consulting.
You get to know many people, new people in every project again, and the line managers also change regularly.
Capgemini is very profit- and growth-driven. Now one might think that every company is like that, but from my experience, there are differences. Although Capgemini can present very good financial figures, they operate with a strong quarterly view and a savings program. Long-term goals, training measures, and employee salaries are kept below market level.
Outwardly, innovation and hype technologies are naturally emphasized. However, innovation requires "breathing room," and that doesn't exist, as every 15 minutes must be billed. Other companies invest significantly more here.
Capgemini is a large company, which also has large companies as clients and implements very complex, large-scale projects. This is therefore okay. However, for cool, agile, lightweight, new technologies, other service providers are commissioned. Thus, the competencies lie more in the integration of products or the maintenance of 10-year-old monoliths.
Yes, travel is expected. Here, profit naturally comes before the employee, but they do try.
One should not be with the company longer than 3-5 years.
Hier kann ich dem Management leider nicht raten, sich mit 10% weniger Gewinn zufrieden zugeben und ein tolles Unternehmen für die Zukunft zu gestalten; er würde es nicht ändern können.
I mostly delved deep into AI using RAG. I didn't feel the interviewer had experience in Azure cloud, specifically regarding Azure Functions and database-level concurrency. They also asked some random questions without switching on the camera.
It was for a Kore.ai Solution Architect profile, asking how to use Kore.ai as a conversational AI tool to build chatbots. Kore.ai's basic concepts were discussed, along with how the team was managed to complete the project.
There was an initial conversation before the main interview. The conversation was nearly an hour.
I mostly delved deep into AI using RAG. I didn't feel the interviewer had experience in Azure cloud, specifically regarding Azure Functions and database-level concurrency. They also asked some random questions without switching on the camera.
It was for a Kore.ai Solution Architect profile, asking how to use Kore.ai as a conversational AI tool to build chatbots. Kore.ai's basic concepts were discussed, along with how the team was managed to complete the project.
There was an initial conversation before the main interview. The conversation was nearly an hour.