So if you just need to do something simple like fire off a compute heavy background task and then get a result when it is done, you should probably just roll your own implementation on top of the threading API in your language. That'll probably be very stable. You don't need a massive background task orchestration framework.
People might object that the frameworks will handle edge cases that you've never thought of, but I've actually found in enterprise settings that the small custom implementations--if you actually keep it small and focused--can cover more of the edge cases. And the big frameworks often engineer their own brittle edge cases due to concerns that you just don't have.
So anyway, it isn't as simple as "dependencies are bad" or "dependencies are good", but every dependency has a cost/benefit analysis that needs to go along with it. And in an Enterprise, I'd argue that if you audit the existing dependencies you will find way too many of them that should be removed or consolidated because they were done for the speed of initial delivery and greenfielding. Eventually when you accumulate way too many of those dependencies the exposure to the supply chains, the need to keep them updated, the need to track CVEs in those deps, and the need to fix code to use updated versions of those dependencies, along with not have the direct ability to bugfix them, all combine to produce an ongoing tax of either continual maintenance or tech debt that will eventually bite you hard.