"There are only two hard things in Computer Science: cache invalidation and naming things."
Cache invalidation is always a very tricky affair. It can work for a while but as complexity grows it gets very hard to maintain and debug. It's very much a "here be dragons" situation and you have to go into it with your guard up.
I was at a small startup that had a quick and dirty contractor built API. It worked, but for our largest customers, 99th percentile latency started going over the API gateway timeout. The quick and dirty hack on top of it was aggressive caching with too-clever invalidation logic. It worked until new features were added and then it started failing dramatically and unpredictably. The bugs were an absolute nightmare. We ended up spending almost a year cleaning up the data model, sharding things by customer, and fixing a bunch of N+1 queries, all so that we could get rid of our API cache layer and kill the bugs for good.