Free B2B hiring marketplace with AI-powered ATS for instant global talent access
Jero.works operates a zero-fee hiring marketplace connecting businesses, staffing agencies, and vendors to shared talent pools for full-time and contract roles. The tech stack reveals a modern, infrastructure-heavy organization: AWS-native with Kubernetes, Docker, and multi-cloud deployment (Azure, GCP), plus heavy DevOps investment (Jenkins, GitLab CI/CD, Terraform, CloudFormation). Active projects center on security hardening (CI/CD pipeline, container orchestration, scanning automation) and AI/LLM integration for document processing—suggesting the platform is maturing past MVP toward production reliability and AI-driven candidate vetting. Engineering-dominant hiring (67 of 86 roles) with mid-to-senior skew indicates scaling for both backend complexity and platform resilience.
Jero.works is a free B2B hiring platform headquartered in Singapore, founded in 2022, serving mid-market companies and staffing networks globally. The marketplace enables instant access to pre-vetted candidates and vendor networks without subscription fees, positioning itself as a cost-free alternative to traditional ATS and recruitment software. The product spans job posting automation, applicant tracking, real-time team collaboration, and vendor management. The company operates across India for engineering talent and maintains a 51–200 person team scaling toward higher hiring velocity, with concentrated engineering investment to support infrastructure, security, and emerging AI features.
AWS-native infrastructure (Lambda, DynamoDB, ECS, CloudFormation, CodePipeline) with Kubernetes and Docker for orchestration. Application layer: Node.js, JavaScript, PostgreSQL, MySQL, MongoDB. CI/CD: Jenkins, GitHub Actions, GitLab CI/CD. Observability: Prometheus, Grafana, Elasticsearch, CloudWatch.
Secure CI/CD pipeline implementation, container orchestration hardening, RPA and OCR solutions (multi-language, SAP/MS Office integration), AI/LLM POCs for document processing, dbt adoption for analytics, and production performance tuning.
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