A Serverless Job Portal Architecture Using Managed Cloud Functions and Automated Continuous-Integration Deployment

Abstract: Online recruitment platforms must contend with highly irregular traffic, frequent feature updates, and the need to remain cost-effective during idle periods, yet many are built on continuously provisioned servers that incur expense even when unused and demand substantial operational effort to scale and maintain. This paper presents a job portal engineered on a serverless paradigm, in which application logic executes as managed, event-driven cloud functions that scale automatically with demand and incur charges only during actual execution. The platform pairs Java-based backend functions with a Node.js web client hosted and continuously deployed through a managed hosting service integrated with an automated continuous-integration build pipeline, so that every code change is compiled, tested, and released without manual intervention. Requests are routed through an API gateway to function handlers that perform authentication, job search, application submission, posting, and intelligent candidate matching, supported by managed database, object- storage, and identity services. Experimental evaluation under simulated load demonstrated an average warm response time of 82 milliseconds at one hundred requests per second and graceful degradation under higher load, while eliminating idle infrastructure cost entirely. Compared with a continuously provisioned monolithic baseline, the serverless platform achieved superior scalability, markedly higher deployment frequency, and substantial idle-cost savings. The principal contributions of this work are a fully serverless recruitment-platform architecture, an integrated continuous-deployment pipeline that accelerates and de-risks releases, and an empirical demonstration of favourable latency, scalability, and cost characteristics relative to conventional server-based designs.

Keywords: Serverless computing, job portal, cloud functions, continuous integration, continuous deployment, auto- scaling, function-as-a-service, recruitment platform.