Hospital Job Alert Service

Project Description

Built to eliminate the hassle of manually checking multiple hospital career sites for medical job seekers. The service automatically scrapes job postings from 4 university hospitals (Severance, Ewha, Chung-Ang, etc.) every hour and sends email notifications when new postings match subscriber-registered keywords. Applied the Strategy pattern to handle varying hospital site structures — separating API-based scraping and Puppeteer browser automation per hospital. Ensured email delivery reliability through pessimistic locking and retry logic on the notification queue.

Highlights

• Hourly automated collection from 4 hospitals with Strategy pattern
• Pessimistic locking on notification queue preventing duplicate sends
• Dual deployment: Docker on EC2 + Serverless Framework on Lambda
• GitHub Actions CI/CD with automated post-deploy health checks

Features

• Automated scraping of 4 university hospital job postings (hourly cron scheduling)
• Strategy pattern per hospital — API-based (Severance, Ewha, Chung-Ang) + Puppeteer browser automation (Chung-Ang Heukseok)
• Email notifications for new postings matching subscriber keywords
• Notification queue management — pessimistic locking, batch processing (10), up to 3 retries on failure
• Duplicate post filtering via external ID
• Subscription management API (keyword registration per hospital)

Lessons Learned

• 💡 Achieved scraping logic extensibility and maintainability by applying Strategy pattern to handle varying hospital site structures
• 💡 Designed extensible architecture enabling new hospital additions without modifying existing code through runtime algorithm switching
• 💡 Experienced dual deployment architecture combining EC2 persistent server with Lambda serverless for cost efficiency and reliability
• 💡 Ensured deployment reliability through GitHub Actions CI/CD pipeline with automated post-deploy health checks

Tech Stack

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