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Full Stack 2024 Full Stack Architect

High-Traffic Enterprise Job Portal

Scalable job platform with Elasticsearch-powered indexing, Laravel REST APIs, and real-time application pipelines.

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Technologies & Architecture Stack
Next.jsLaravelMySQLRedisDocker
Key Technical Accomplishments
Sub-150ms search queries across millions of records using Redis & indexing
Decoupled Next.js SSR frontend with employer interactive dashboard
Read/Write replica database architecture preventing lock contention
Role-based permissions and real-time applicant tracking pipeline
Engineering Case Study

Problem

An expanding recruitment agency required a modernized platform capable of handling high concurrent traffic and complex, multi-faceted search queries. Their legacy system suffered from severe database locking issues and slow response times as their dataset grew.

My Role

Full Stack Architect & Backend Lead.

Technical Challenges

  • Search Optimization: Querying millions of job records based on geolocation, skill matching, and full-text search was overloading the primary database.
  • Concurrency: Handling traffic spikes during massive hiring events without degrading platform responsiveness.
  • Real-time Tracking: Implementing a seamless candidate tracking pipeline for employers to manage applications instantly.

Solution

I led the migration from a monolithic legacy system to a decoupled, API-first architecture:

  • Advanced Searching: Integrated the Laravel backend with a dedicated search index (similar to Elasticsearch) and utilized Redis for heavily aggressive caching of frequent queries.
  • Frontend Performance: Rebuilt the frontend using Next.js with Server-Side Rendering (SSR) for public job listings to guarantee SEO, while keeping employer dashboards interactive with React.
  • Database Refactoring: Re-architected the MySQL database utilizing advanced normalization and read-replicas to reduce load on the primary write database.

Tech Stack

  • Frontend: Next.js, React, TypeScript, Tailwind CSS
  • Backend: Laravel, PHP, REST APIs, Redis
  • Data Layer: MySQL (Read/Write Replicas), Full-Text Indexing
  • DevOps: Docker, Linux VPS, Nginx

Outcome

Reduced average search query times from over 4 seconds to under 150 milliseconds. The platform successfully scaled to support a 400% increase in daily active users with zero downtime.

Interested in building a similar system?

I am open to full-time engineering roles, backend contracts, and full stack applications with Laravel and Next.js.

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