AI-Powered Job discovery and application platform

GrabJobs is an AI-powered recruitment platform that helps professionals discover jobs, automate applications, and manage their job search from a single place. The platform combines job discovery with application automation and candidate tracking to simplify the hiring experience for job seekers and employers.

Today, GrabJobs serves more than 50 million job seekers worldwide and supports hiring for over 20,000 companies. Its AI JobCopilot feature helps users streamline repetitive job search activities through intelligent matching, application automation, and workflow management across a growing ecosystem of hiring platforms.

Job opportunities are distributed across a wide range of applicant tracking systems, including Greenhouse, Workable, Lever, BambooHR, SmartRecruiters, Jobvite, and Ashby.

Each platform uses different application workflows, field mappings, and submission requirements. Supporting job discovery at scale requires reliable data collection and a standardized way to automate application submissions. 

Key Challenges 

• Collecting jobs from multiple hiring platforms every day 
• Normalizing job data from different ATS providers 
• Supporting application workflows across dozens of platforms 
• Managing resume and profile data during submissions 
• Scaling application processing without dedicated servers 
• Maintaining consistent automation across changing application forms 

Without a centralized automation framework, supporting new hiring platforms would require significant manual effort and ongoing maintenance.

A serverless automation platform was developed to support both job discovery and automated job-applying workflows. 

Job Discovery Infrastructure

Scrapers were built to collect jobs from multiple hiring platforms and store structured records in a centralized database. Collection workflows are scheduled to run at defined intervals throughout the day (via cronjob) to ensure newly published opportunities continuously flow into the system and remain available through the AI-powered matching system. 

Automated Application Engine

Platform-specific automation handlers were developed to navigate employer application forms, map user profile information, process resumes, and submit applications autonomously across all the supported ATS platforms. 

Serverless Processing Architecture

AWS Lambda executes application workflows. DynamoDB, S3, SQS, and other AWS services manage storage, messaging, and workflow processing. The architecture scales without requiring dedicated infrastructure.

Key Deliverables 

• Built automated job collection workflows 
• Developed application automation for 40+ ATS platforms 
• Implemented AWS Lambda processing architecture 
• Standardized application field mapping workflows 
• Automated resume and document processing 
• Integrated DynamoDB-based job storage 
• Established reusable onboarding patterns for new ATS integrations 

The platform combines web automation, serverless infrastructure, and ATS-specific workflows to support large-scale job discovery and application processing. 

Extensive ATS Compatibility 

Enabled application submissions across more than 40 hiring platforms through a unified automation framework. 

Unified Job Opportunity Inventory 

Created a centralized repository of job opportunities collected from multiple hiring platforms and refreshed through automated collection workflows. 

Streamlined Application Experience 

Reduced the complexity of job applications by allowing user information, resumes, and supporting documents to be processed automatically during submissions. 

Scalable Platform Growth 

Established a repeatable integration framework that supports onboarding additional ATS platforms without redesigning the underlying architecture.