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Shortlister is a leading video interviewing platform designed to modernize and streamline the recruitment process for employers, recruitment agencies, and career advisors.
Shortlister is a leading video interviewing platform designed to modernize and streamline the recruitment process for employers, recruitment agencies, and career advisors. Built with Django and Django REST Framework (DRF), the platform supports structured, branded, and fully remote video interviews. Its robust backend architecture enables seamless management of candidate data, interview scheduling, and secure video storage. With the capability to handle over 10,000 interviews per month, Shortlister ensures consistency, fairness, and efficiency in hiring through automation and reliable performance.
This project required handling massive interview volumes, ensuring unbiased and secure candidate experiences, and building a scalable, cloud-powered system capable of supporting thousands of users in real time.
Recruitment teams struggled to handle large numbers of interviews efficiently while maintaining structure and consistency.
Ensuring unbiased evaluations and protecting sensitive candidate information were critical priorities.
Required a backend capable of supporting thousands of concurrent users and interviews without performance degradation.
Needed seamless integration with cloud services to securely store and manage interview recordings.
The platform had to provide reliable APIs to enable smooth interaction between frontend and backend systems.
A visual breakdown of the design, development, and performance that shaped the final product.
Backend Architecture & API Development: Designed and developed RESTful APIs in Django REST Framework, ensuring high performance and maintainability.
Database Optimization: Designed scalable PostgreSQL schemas optimized for large datasets and frequent transactions.
Task Automation: Integrated Celery with Redis to manage background jobs such as video processing, email notifications, and scheduled tasks.
Β Cloud Integration: Leveraged AWS S3 for secure, efficient video storage and retrieval.
Β Authentication & Security: Implemented JWT-based authentication and enforced strict access controls to safeguard sensitive candidate and employer data.
Performance Tuning: Monitored and optimized query performance, caching, and load distribution to maintain reliability at scale.
Cross-Team Collaboration: Worked closely with frontend and product teams to ensure consistent feature delivery and alignment with business goals.
Containerization: Utilized Docker for consistent environment setup and smooth deployment pipelines.
As part of the development team, my role was to design and implement a secure, scalable, and high-performing backend using Django and DRF. The backend was built around modular, reusable APIs that powered all major functions, including candidate management, interview scheduling, and reporting.
Shortlisterβs backend system now powers a fast, reliable, and secure video interviewing experience for thousands of users worldwide. The project demonstrates the impact of thoughtful architecture, collaborative development, and robust automation in creating a high-performing SaaS platform that transforms the recruitment process.
Successfully scaled the platform to handle over 10,000 monthly interviews while maintaining excellent system uptime.
Improved data retrieval and response times through efficient database queries and caching strategies.
Reduced recruitersβ manual workload by automating scheduling, reminders, and video upload processes.
Strengthened data protection with robust authentication, encryption, and adherence to compliance standards.
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