Job Search / Recruitment / Confidential Hiring
Stealth Jobs.
An anonymous job search platform enabling confidential hiring — candidates and employers connect without revealing identity until mutual interest is shown.
What stood
in the way
Traditional job portals compromise candidate privacy. Both candidates and employers needed a way to discover and interact without exposing personal information upfront.
Existing solutions lacked confidential communication channels, increasing bias and risks for professionals making sensitive career moves.
How we
solved it
Designed a privacy-first architecture where profile details are only shared upon mutual interest.
Built three cohesive panels — Candidate, Employer, and Admin — with a shared design system in Figma.
Implemented encrypted data storage on PostgreSQL with strict access controls on AWS EC2.
Created AI-driven job recommendation engine tailored to anonymous candidate preferences.
Research
Studied privacy gaps in existing job platforms and mapped user expectations.
System Design
Architected privacy-first matching logic and encrypted data flows.
Development
Built three React panels, Node.js backend, and PostgreSQL database.
Deployment
Launched on AWS EC2 with security monitoring and analytics.
What we delivered
Anonymous Applications
Candidates apply without revealing identity until mutual interest is confirmed.
Confidential Messaging
Secure employer-candidate communication with privacy-first design.
Personalized Recommendations
AI-driven job suggestions tailored to candidate preferences and skills.
Mutual Interest Reveals
Profile details shared only when both parties express interest.
Encrypted Data Storage
PostgreSQL with strict access controls ensuring complete data privacy.
Role-Based Access
Granular permissions for admins, candidates, and employers.
3
Integrated Panels
100%
Privacy Guaranteed
0
Data Leaks
99%
Platform Uptime