My situation is slightly different from what you describe, but yeah, we have scientists and data scientists involved in writing Python packages, setting up CI/CD pipelines, dealing with auth and frontends for APIs. There's talk of dividing labor up a bit better so that we can focus on science and data work, but there's hardly enough engineering staff as it is and they're largely not much better from a software engineering perspective (and half of them hardly know any Python, which our non-engineers have 100% standardized on). It's kind of a mess right now.