Complexity is the thing that keeps a certain, very common type of engineer excited. If left to their own devices they will increase the complexity of the solution in such ways that it can just be comfortably managed by themselves (if they have a good run) or just a bit too much so they are struggling all the way (if they have a bad run). The complexity of the problem is more or less irrelevant then.
There are many software products which solve extremely simple problems in very complex ways, sometimes this is called "overengineered". It is what happens, when the simple solution was too boring or when there was a shiny technological hammer and suddenly every problem looked like a nail (think of blockchain products where a simple relational database would have done the trick). This problem exists in hardware as well, but to a much lesser degree, because in hardware every tiny bit you add is cost added to the bill of materials, so hardware engineers have more incentives to keep simple solutions in mind.
To some engineers, them being the only person thar understands the code is a feature, not a bug. That either means they tricked themselves by making the problem appear harder to solve than would be the case (for the own ego), or they tricked others into a co-dependency where the engineer is now needed to understand the solution (for job safety).
One has to admit tho, that some problems are just inherently complex themselves and you have to tackle them at their own level. For example identity managment systems with people from potentially multiple sources where the data shape and quality is out of your control and you still need to reliably create one identity from the data sources. This is a classical: "How hard could it be?"-problem (turns out: very). The solution to that will be complex, because the problems you encounter are. The solution will need to be adaptable because new problems and needs will arise. The solution needs to be maintainable for the same reason. Complex problems + complex requirements = increased complexity in the solution
True mastery in software engineering means the complexity of the solution meets the complexity of the problem, while delivering in all kind of other dimensions like maintainability, legibility, adaptability, security, safety, reliability, ruggedness in changing OS-environments, ease of use, etc.
Many software engineers you will encounter are still in their "write and forget"-stage of their career. They never had to face The Sysamdin that had to deal with their flaming piece of crap software falling apart with every second system update. They have next to no admin experience themselves, that would tell them that good software chugs along for decades in a changing environment.
The problem with complexity in software engineering is that we can just add it. No beancounter breaths down our neck if we add an extra dependency. The problems arising from added complexity are intangible until they aren't, and then it is often too late.
P.S.: I smell chatGPT in some of the phrasing like: "Complexity shouts, “Look at me!”, while simplicity whispers “Did you notice?”."