Creating features has not been automated by Deep Learning at all. Even for image recognition tasks, where your "features" are simply the pixels of an image, there's still lots of preprocessing work to get those images into a form that NNs can deal with well.

Feature engineering is actually still the hardest part of most ML tasks, because it can not be optimized by a simple grid search like the hyperparameters of a model.