Better performance of infrastructure development depends on the several factors whereas job satisfaction seems one of the key factors. Large Number of Engineers was de-motivated to accept the staff adjustment policy. This study focuses to find the job satisfaction of civil Engineers in Gandaki Provincial Government. Data were collected through structured questionnaires. Questionnaires were distributed into 134 Engineers. The responses from 103 (76.87%) respondents were documented. The study adopted descriptive and interferential statistics analytical using Statistical Program for Social Sciences (SPSS) and MS- Excel. The correlation coefficient varied between 0.292 (pay/salary) to 0.612 (Work Group). The result shows that there was significant relationship between work group and job satisfaction (r=0.612, p<0.01).There was no significant difference in level of satisfaction based on demographic factors like gender, academic qualification, Age Groups, Civil engineering sub sectors, designation level and time span for total years of experience. ANOVA test was carried out to test null and alternate hypothesis P value for each variable was recorded greater than 0.05. Multiple linear regression analysis was conducted considering job satisfactions as dependent variable, R square was recorded as of 0.582 indicates that the independent variables (predictors) such Supervisors (Bosses), Work Group, Working Conditions, Promotion Opportunities, Pay / Salary, Transfer and Posting factors used in this model explained about 58.2% of the total variation in dependent variable job satisfaction of employees under study.