Background: After the pandemic, software engineers were forced to work remotely, in many cases without prior experience of doing so.

Objective: The objective of this work is to analyze the factors that influence engineers' motivation, stress and performance when working remotely after the pandemic, and to what level.

Methods: A significant number (around 1000) of Latin-American software development professionals from different countries who work remotely were surveyed in order to study the factors that affect them and how when they work in this manner. The data collected from the survey were then statistically analyzed using the partial least square-structural equation modeling (PLS-SEM) method.

Conclusions: The analysis of the data made it possible to conclude that there are direct negative effects of stress on performance and direct positive effects of motivation on performance. In addition, we found that skills, experience, and teamwork behavior, such as trust, communication, and knowledge sharing, play an important role when working remotely.