Dr.Job is an AI-powered recruitment platform that connects employers, publishers, and job seekers through a unified job distribution ecosystem.

Founded in 2015 and headquartered in Abu Dhabi, UAE. Dr.Job serves a growing global market across the UAE, GCC, MENA, and international regions. The platform enables companies to distribute job listings at scale while helping job seekers discover relevant opportunities through intelligent matching.

Today, Dr.Job supports millions of job seekers and thousands of employers, processing high volumes of job data and real-time recruitment interactions across multiple markets.

As Dr.Job scaled its operations, several infrastructure and operational challenges emerged:

• Fragmented systems across multiple providers, leading to inefficiencies
• Increasing API traffic and job data volume causing latency and bottlenecks
• Rising infrastructure and maintenance costs
• Lack of real-time synchronization across employers, publishers, and job seekers
• Difficulty scaling job distribution pipelines globally
• Limited ability to leverage advanced analytics and automation

To support rapid growth and international expansion, Dr.Job needed a unified, scalable, and cost-efficient cloud infrastructure.

Dr.Job selected Alibaba Cloud based on:

• Global infrastructure with strong regional coverage
• High-performance cloud-native services for large-scale systems
• Competitive cost-performance ratio
• Enterprise-grade security and reliability
• Advanced AI and data ecosystem capabilities

Alibaba Cloud provided the foundation to consolidate infrastructure, improve system performance, and enable AI-driven innovation.

Dr.Job migrated to a unified cloud-native architecture on Alibaba Cloud to support high-scale recruitment operations.

Core Infrastructure

• Elastic Compute Service (ECS) and Container Service for Kubernetes (ACK) power scalable APIs and microservices
• ApsaraDB for MongoDB and Tair (Redis® OSS-Compatible) enable high-performance database operations and real-time caching
• Elasticsearch supports fast job search, indexing, and filtering

Storage & Data

• Object Storage Service (OSS) and NAS manage CVs, job assets, and media
• Data Transmission Service (DTS) enables real-time data synchronization
• AnalyticDB / SelectDB powers analytics and reporting
• DataWorks handles data pipelines and orchestration

AI & Automation Layer

Dr.Job integrates AI-driven capabilities across its platform, including:

• Automated job description generation
• Intelligent candidate-job matching
• Multilingual job processing for global markets
• Workflow automation for recruiters

This architecture enables real-time job distribution, high concurrency handling, and seamless system integration across the recruitment lifecycle.

After migrating to Alibaba Cloud, Dr.Job achieved measurable improvements:

• Infrastructure cost reduced by 30–40% through consolidation and optimization
• API response time improved by over 60%, reducing latency significantly
• System uptime exceeded 99.9%, ensuring high platform availability
• Scalability increased, supporting hundreds of thousands of job listings monthly
• Faster job distribution performance, improving employer campaign efficiency
• Real-time analytics adoption, enabling data-driven decision-making

Additionally:
• Reduced manual effort through AI automation
• Improved candidate-job matching accuracy
• Enhanced publisher integration efficiency

These improvements strengthened Dr.Job ability to operate as a high-performance global recruitment platform.

Dr.Job continues to expand its collaboration with Alibaba Cloud, focusing on:

• Advancing AI-driven recruitment automation
• Enhancing predictive analytics for hiring trends
• Expanding into new regional and global markets
• Improving platform performance and cost efficiency
• Developing more intelligent matching and recommendation systems

With Alibaba Cloud, Dr.Job is positioned to scale its AI-powered recruitment ecosystem and lead innovation in the HR technology space.