SaaS / Job Portal

Scaling a High-Traffic Job Portal with MERN & Kafka

How a Senior Full Stack Developer in Nepal led microservices, Elasticsearch search, and Generative AI screening for Jobscater.com.

Challenge

The product needed to handle high-volume job operations, fast candidate discovery, and smarter screening without slowing the core hiring workflow.

Solution

We architected a Node.js microservices backend with Kafka for async notifications, Elasticsearch for relevance-ranked search, Redis for hot paths, and a React frontend for recruiters and candidates. Generative AI assisted applicant evaluation while keeping human review in control. Explore related development services or the broader projects portfolio.

Results

  • Decoupled notifications reduced latency under peak posting activity
  • Search relevance improved candidate discovery for recruiters
  • AI-assisted screening shortened early evaluation cycles

Technology

Node.jsExpress.jsReact.jsMongoDBRedisKafkaElasticsearchGen AI

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