Public managers in any country at times find it difficult to disregard the issue of Job Satisfactionrnas it directly affects their productivity and is often a cause of high turnover. The purpose of thisrnpaper is to identify the determinant of job satisfaction in the AKSCAE. The research designrnadopts for this study is explanatory. The reason behind using explanatory research design isrnbecause; it is better to connect ideas to understand the cause and effect of something or tornexplain what is going on. In an attempt to address the determinant of JS on both primary andrnsecondary data sources of the employee concerning primary data, the data was collectedrnthrough questionnaires was filled by the existing staff of the organizations.The researcher used arnsampling frame of the total population of male â€“ 956 female â€“ 813 total - 1773 employees tornservean estimated 220,740 sub-city pupils.A simplified formula to calculate sample sizern(Yamane, 1967).Data were collected using a structured survey questionnaire. After testing scalernreliability and validity, multiple linear regressions were used.The results of the study indicatedrnthat the JS and PB, WE, PO, RWS, TIL, and work experience have a positive correlation, andrnhave a major effect on Job Satisfaction.The regression analysis result indicated that 88.4% of thernvariation in Job Satisfaction can be explained by the composite measure of independentrnvariables.Generally, this study shows that most of the employees are not satisfied with their job.rnBased on this it is recommended that the government should work more on the above factorsrnespecially in pay& benefit,and trust in leaders by considering the other competitive market. Thisrnhelps increase job satisfaction and to achieve its strategies and goals through a productivernworkforce.It also helps to minimize employeesâ€™ turnover, absenteeism, and poor service delivery