The purpose of this study was to explore the level of academic staff job satisfaction and its possible predictorsrnat Addis Ababa University. For accomplishing this purpose, primary data were collected from the targetrnpopulation by applying stratified proportionate sampling within which random and availability sampling wererninvolved. The data collection tools were survey questionnaire and key informant interview. Then, data werernanalyzed descriptively in order to catch the trends in light of the stated issue. Once descriptions were made,rnANOVA and T-test were conducted to compare the variation in the average satisfaction values of respondentsrnbelonging to different demographic sub-categories. Correlation analysis was also undertaken so as to show thernassociation between predictor variables and the dependent variable. Finally linear multiple regression analysisrnwas run to examine the effect of predictor variables on the dependent variable. The research revealed that, onrnaverage, the academic staffs were dissatisfied. Some group of staffs relating to highest extremes of academicrnrank and age as well as service year were, however, somehow closer to neutral being neither dissatisfied norrnsatisfied. As per the correlation analysis, overall satisfaction had a fairly moderate positive association withrnacademic rank, and service year, while its correlation with age was weaker being generally positive. Coming tornnon-demographic variables, job satisfaction had a moderate positive correlation with pay, promotion, fringernbenefits and contingent reward, whereas the correlation with supervision, operating procedures,rncommunication, coworkers and nature of work was weak. According to the regression output, on the otherrnhand, pay, promotion and contingent reward were found out to have significant effect on overall jobrnsatisfaction, while the other six predictors had no such significant effect.