Background/Purpose: The higher education sector faces intensified competition amid global and technological advancements, further impacted by the aftermath of the Covid-19 pandemic. This study delves into the nuanced factors affecting the job performance of academic staff in the Klang Valley, employing a robust quantitative research design. The research, prompted by challenges posed by virtual teaching and learning during the pandemic, investigates key variables through a causal research approach. By exploring academic job performance dynamics, the research contributes to enhancing the quality of education and understanding the factors influencing educators' effectiveness. Methodology: The target population includes academic staff from prominent educational institutions in the Klang Valley, strategically chosen for their diversity and significance as an educational hub. Employing probability sampling, specifically simple random sampling, the study collects primary data through questionnaires distributed to academic staff in eight reputable institutions in the Klang Valley. A pilot study ensures the reliability and validity of the data collection instruments. A total of 385 academic staff from the Klang Valley participated as respondents. Data analysis, conducted using the Statistical Package for Social Science (SPSS), reveals high dependability exceeding recommended thresholds. The analytical framework employs both descriptive and inferential analyses, including Pearson correlation coefficients and multiple linear regression. Findings: Results indicate significant positive correlations between variables such as self-efficacy, self-esteem, employee engagement, organizational citizenship behavior, and job performance. In the inferential analysis, the multiple linear regression model demonstrates a substantial impact of independent variables on job performance, with organizational citizenship behavior making the highest contribution, followed by self-efficacy. Novelty: This study is a comprehensive exploration of academic job performance dynamics in the Klang Valley post-COVID-19. The study employs a robust quantitative research design, including a causal research approach, probability sampling, and statistical analyses like Pearson correlation and multiple linear regression. By investigating the relationships between key variables such as self-efficacy, self-esteem, employee engagement, organizational citizenship behavior, and job performance, the research provides nuanced insights into the intricate socio-emotional and organizational factors influencing academic job performance. The study's focus on a diverse and strategically chosen population contributes to the broader understanding of these dynamics, offering valuable implications for academic institutions globally.