Amazon operational work load for a SDE in SageMaker
Just started 2 months ago as a new grad SWE in SageMaker org working on a pure ML product and have some concerns. The team is divided in two (SDEs and Applied Scientists), Applied Scientists are doing all the interesting work and SDE are doing only ops, mostly working on pipelines. As SDEs we rarely get the chance to ship features and when we do it’s some boring feature that make our product more reliable.
Manager and teammates are nice but doing only ops work is slowly killing me, I started to hate my job. I’m thinking about accepting an Uber internship that may lead to full time.
I don’t have experience outside my team and Amazon so I’m wondering if Software Engineers doing 80-90% of ops work is the norm in other orgs/companies as well? And for Uber Money team, should I expect the same?