I essentially have this kind of role within my organization. I design, develop, deploy, and support small to mid-tier systems (e.g., the planning system for a $XXXmio/yr global department, with 300+ direct users) while being one of my own customers, as I am actually a business planner (by role) as opposed to developer. I develop systems as a way to do my "day job" much more effectively. Typical tech stack would be Excel UIs, PostgreSQL data store, and whatever else I need in the middle (e.g., nodejs, tomcat, redis, whatever).
What I've found is that, in general, doing the right thing the "right way" is not worth the cost compared to doing the right thing the "wrong way". By definition, in either scenario, the right things is getting done. What most pure developers utterly fail to understand is that in trying to do the former, there is an overwhelming tendency to do the wrong thing the right way instead.
This is because, as Fred Brooks pointed out long ago--and as the "lean startup" movement is re-discovering today--for any non-trivial novel problem you cannot know in advance what the "right thing" is until you've actually tried to implement a solution. Brooks stated this understanding as the need to throw away the first try, and the lean startup movement is essentially defined by a corollary--you have to figure out how to try cheaply enough that you can afford to throw it away and try again (and again, and again if necessary), while progressively elaborating a robust definition of what the "right thing" looks like by using those iterations as experiments to test hypotheses about what the "right thing" is. Doing things the "right way" usually costs so much in time if not capital that you simply can't afford to throw away the first try and start over, or you cannot complete enough iterations to learn enough about the problem.
Now, I'm not saying that you should be totally ignorant of software engineering best practices, design patterns, etc. What I am saying is that there is a limit to how effective you can be in reality if you live purely within the development silo. Having a "DevOps" role (granted, self-imposed in my case) has been one of the best things that's ever happened to me as far as making me a better developer, right up there with the standard oldies like writing your own recursive descent parser and compiler.
In short, it is commonly-accepted wisdom among programmers (for good reason!) that you are more effective if you actually understand the technology stack down to the bare metal or as close to it as you can manage (even if only in abstract-but-helpfully-illustrative examples like Knuth's MMIX VM), and that this understanding can only be gained via practice. It should be obvious that the same is true in the other conceptual direction through deployment and end use.