To maximize the cost-effectiveness of tofacitinib, one of Janus kinase inhibitors, there is an unmet need to identify predictors of therapeutic response. Utilizing phage immunoprecipitation sequencing (PhIP-Seq), we aim to identify peptide biomarkers for predicting good response to tofacitinib in rheumatoid arthritis (RA) patients. We enrolled 106 patients who had received 24-week tofacitinib therapy, including twelve patients undergoing PhIP-Seq analysis in the discovery stage and ninety-four patients validated with enzyme-linked immunosorbent assay (ELISA) in the replication stage. Disease activity was assessed using the 28-joint disease activity score-erythrocyte sedimentation rate, and therapeutic response was evaluated using EULAR response criteria. Plasma levels of caspase-1 and IL-18 were determined using ELISA. PhIP-Seq analysis identified antibodies to sucrose non-fermenting-related kinase (SNRK) and HUWE1 (ubiquitin E3 ligase) as peptide biomarkers for discriminating good responders from the non-good responders. Using ELISA for validation on another cohort, an optimal cut-off value of anti-SNRK antibody for predicting good response was 0.381, with AUC 0.823, specificity 80.6%, and sensitivity 78.1% (p = 3.01E-07), and anti-HUWE1 antibody at 0.362, with AUC 0.740, specificity 74.2%, and sensitivity 62.5% (p < 0.001). Plasma levels of anti-SNRK and anti-HUWE1 antibodies were positively correlated with levels of caspase-1 and IL-18 (both p < 0.05). Multivariate logistic regression analysis revealed anti-SNRK antibody as a significant predictor of good therapeutic response. After tofacitinib therapy, anti-SNRK antibody levels significantly declined in good responders, but not in non-good responders. We identify two peptide antibodies, anti-SNRK and anti-HUWE1 antibodies, as pretreatment predictors of good therapeutic response to tofacitinib in RA patients.