Job Portal
Connect employers with job seekers through job posting, resume management, application tracking, and intelligent matching
What You Should Know Before Building
Key considerations before starting this project
Skill Level Required
Intermediate to Advanced
Team Size Recommendation
1-3 developers
Estimated Development Time
2-4 months for MVP
Estimated Cost Range
$2K - $10K
Best Tech Stack Options
See recommended stack below
Can It Be Built Solo?
Yes, for the MVP version
MVP Version Recommendation
Start with core features, iterate based on feedback
Common Challenges
Authentication, data modeling, scaling
Scalability Considerations
Plan for horizontal scaling early
Monetization Options
Freemium, subscriptions, or one-time purchase
Security Considerations
Authentication, data encryption, input validation
Deployment Recommendation
Vercel for frontend, Railway or Render for backend
Disclaimer: This blueprint is a practical implementation guide based on industry standards. Technology choices, costs, and timelines should be adjusted to your project requirements.
Table of Contents
1.Executive Summary
A Job Portal that connects employers posting positions with job seekers searching for opportunities, featuring intelligent matching, application tracking, and communication tools. Built with Next.js for SEO-optimized job listings, PostgreSQL for reliable job and application data, Elasticsearch for fast full-text search across millions of listings, and email notifications for timely alerts. The platform covers the complete hiring lifecycle: employers post detailed job listings with requirements and salary ranges, job seekers create profiles with resumes and preferences, the matching engine recommends relevant opportunities, applicants track their application status, and both parties communicate through the platform. With company profiles, salary insights, and career resources, the portal serves as a comprehensive career hub.
- SEO-optimized job listings that rank in search engines
- Intelligent job matching based on skills and preferences
- Full-text search powered by Elasticsearch for instant results
- Application tracking for job seekers and employers
- Email alerts for new matching jobs and applications
- Company profiles with reviews and salary insights
2.Problem Solved
Job seekers face a fragmented landscape: Indeed aggregates listings and offers messaging but lacks deep matching, LinkedIn combines professional networking with job search but prioritizes network over relevance, and company career pages are isolated. Employers struggle with high-volume, low-quality applications from job boards, expensive recruiter fees, and no centralized system to track applicants. This job portal solves both problems by providing a focused, efficient marketplace where employers attract qualified candidates through detailed listings and company branding, while job seekers discover relevant opportunities through intelligent matching and get transparent feedback on their application status.
- Job search fragmented across multiple platforms with inconsistent experiences
- Employers receive high volume of low-quality applications
- No transparent application status tracking for job seekers
- Expensive recruiter fees for quality candidates
- No intelligent matching between skills and requirements
- Company culture and benefits information scattered
3.Target Audience
Job Seekers
Active and passive job seekers looking for full-time, part-time, contract, or remote positions. Want to find relevant jobs efficiently and track their applications.
Employers & Recruiters
Companies hiring for various positions. Need to post jobs, screen applicants, and manage the hiring pipeline. Want quality over quantity in applicants.
HR Teams
Human resources departments managing multiple open positions simultaneously. Need collaborative hiring tools, interview scheduling, and candidate communication.
Staffing Agencies
Recruitment firms matching candidates with client companies. Need to manage candidate pools, client relationships, and placement tracking.
Freelancers & Contractors
Independent professionals seeking project-based work. Need visibility for their skills and a way to find contract opportunities.
Career Changers
Professionals transitioning between industries. Need help identifying transferable skills and finding roles that value their diverse experience.
4.Core Features
MVP Features
Job Listings
Employers create detailed job posts with title, description, requirements, salary range, location, and employment type. Support for remote, hybrid, and on-site positions.
Job Search
Full-text search across job titles, descriptions, and requirements. Filter by location, salary range, employment type, experience level, and posted date. Sort by relevance or date.
Resume Upload
Job seekers upload resumes in PDF, DOCX, or TXT format. Parse and extract skills, experience, and education. Store parsed data for matching and search.
Job Applications
One-click apply with stored resume and profile. Cover letter attachment option. Application status tracking (submitted, reviewed, interview, offer, rejected).
Employer Dashboard
Manage posted jobs, review applicants, update application status, and communicate with candidates. Analytics on views, applications, and conversion rates.
Email Notifications
Alert job seekers of new matching jobs. Notify employers of new applications. Application status updates. Interview reminders and follow-ups.
5.Advanced Features
Phase 2 Features
Intelligent Matching
AI-powered matching that compares job requirements with candidate skills, experience, and preferences. Ranked match scores help employers find the best candidates.
Company Profiles
Branded company pages with description, culture, benefits, photos, and employee reviews. Helps job seekers evaluate potential employers.
Salary Insights
Salary data aggregated from listings and user reports. Show market rate for roles by location, experience, and industry. Helps employers set competitive salaries.
Interview Scheduling
Integrated scheduling tool for booking interviews. Calendar integration for both parties. Automated reminders and confirmation emails.
Candidate Scorecards
Structured interview feedback forms for hiring teams. Score candidates on skills, culture fit, and other criteria. Collaborative hiring decisions.
Job Alerts & Recommendations
Daily or weekly email alerts for new matching jobs. Personalized recommendations based on search history and application patterns.
ATS Integration
Integrate with popular Applicant Tracking Systems (Greenhouse, Lever, Workday) via API. Sync job listings automatically, push applications to employer ATS, and pull status updates for seamless candidate experience.
6.User Roles
Job Seeker
Individuals searching for employment. Can create profiles, upload resumes, search jobs, apply to positions, and track application status.
- Create and edit profile
- Upload and manage resumes
- Search and filter jobs
- Apply to job listings
- Track application status
- Receive job alerts
Employer
Companies posting job listings. Can create company profiles, post jobs, review applicants, and manage hiring pipeline.
- Create company profile
- Post and edit job listings
- Review job applicants
- Update application status
- Message candidates
- View hiring analytics
Recruiter
Recruitment professionals managing hiring for multiple companies. Can post jobs on behalf of employers and manage candidate relationships.
- Manage multiple company accounts
- Post jobs for client companies
- Access candidate database
- Manage candidate relationships
- Track placement history
Admin
Platform administrator with full access to all listings, users, and system settings. Handles moderation and platform configuration.
- Manage all users and listings
- Access platform analytics
- Moderate content and reviews
- Configure platform settings
- Handle dispute resolution
7.Recommended Tech Stack
Frontend
Next.js 14 (App Router)
Server-rendered job listings for SEO. Fast search with client-side interactivity. Optimized for Google Jobs structured data.
Styling
Tailwind CSS + shadcn/ui
Consistent design system for job cards, forms, and dashboards. Pre-built table, dialog, and form components.
Backend
Next.js API Routes
Serverless endpoints for job operations, search, and applications. Webhook handling for email and payment events.
Database
PostgreSQL (Supabase)
Relational database for jobs, applications, and user data. Full-text search capabilities. JSON support for resume data.
Search
Elasticsearch
Full-text search across millions of job listings with typo tolerance. Faceted filtering and relevance ranking. Aggregations for analytics.
Authentication
NextAuth.js
Google and LinkedIn OAuth for easy job seeker onboarding. Email/password for employers. Role-based session management.
SendGrid
Transactional emails for application confirmations, status updates, and job alerts. Template management for branded communications.
File Storage
Cloudflare R2
Store resumes, company logos, and job attachments. S3-compatible with zero egress fees. Secure access with signed URLs.
Analytics
PostHog
Track job search behavior, application funnels, and employer engagement. A/B testing for listing optimization.
Hosting
Vercel
Optimized Next.js deployment with edge functions. Fast global loading for job search. Preview deployments for testing.
8.Database Schema
companies
Employer company profiles
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key |
| name | VARCHAR(255) | Company name |
| slug | VARCHAR(255) | URL-friendly identifier |
| description | TEXT | Company description |
| logo_url | TEXT | Company logo |
| cover_url | TEXT | Cover photo |
| website | VARCHAR(255) | Company website |
| industry | VARCHAR(100) | Primary industry |
| size | ENUM | 1-10, 11-50, 51-200, 201-500, 500+ |
| founded_year | INTEGER | Year founded |
| headquarters | VARCHAR(255) | Headquarters location |
| benefits | JSONB | Benefits and perks offered |
| culture_tags | ARRAY | Culture descriptors |
| average_rating | DECIMAL | Employee review rating |
| review_count | INTEGER | Number of reviews |
| is_verified | BOOLEAN | Verified employer badge |
| created_at | TIMESTAMP | Profile creation date |
users
Platform users (seekers, employers, admins)
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key |
| VARCHAR(255) | User email | |
| name | VARCHAR(255) | Full name |
| phone | VARCHAR(20) | Phone number |
| avatar_url | TEXT | Profile photo |
| role | ENUM | seeker, employer, recruiter, admin |
| company_id | UUID | FK to companies (for employers) |
| headline | VARCHAR(255) | Professional headline |
| location | VARCHAR(255) | Current location |
| bio | TEXT | Professional summary |
| skills | ARRAY | Skills tags |
| experience_years | INTEGER | Years of experience |
| desired_salary_cents | INTEGER | Expected salary |
| desired_location | VARCHAR(255) | Preferred location |
| desired_type | ARRAY | Preferred job types |
| is_open_to_work | BOOLEAN | Open to opportunities |
| created_at | TIMESTAMP | Registration date |
jobs
Job listings posted by employers
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key |
| company_id | UUID | FK to companies |
| posted_by | UUID | FK to users (employer) |
| title | VARCHAR(255) | Job title |
| slug | VARCHAR(255) | URL-friendly identifier |
| description | TEXT | Job description (rich text) |
| requirements | TEXT | Required qualifications |
| responsibilities | TEXT | Key responsibilities |
| employment_type | ENUM | full_time, part_time, contract, internship |
| experience_level | ENUM | entry, mid, senior, lead, executive |
| salary_min_cents | INTEGER | Salary range minimum |
| salary_max_cents | INTEGER | Salary range maximum |
| salary_period | ENUM | hourly, monthly, yearly |
| currency | VARCHAR(3) | ISO currency code |
| location | VARCHAR(255) | Job location |
| is_remote | BOOLEAN | Remote position available |
| remote_type | ENUM | fully_remote, hybrid, onsite |
| required_skills | ARRAY | Required skills tags |
| preferred_skills | ARRAY | Nice-to-have skills |
| benefits | JSONB | Job-specific benefits |
| application_deadline | DATE | Application deadline |
| status | ENUM | draft, active, paused, closed, archived |
| view_count | INTEGER | Number of views |
| application_count | INTEGER | Number of applications |
| featured_until | TIMESTAMP | Featured listing expiry |
| created_at | TIMESTAMP | Posting date |
| updated_at | TIMESTAMP | Last modification |
resumes
Uploaded resumes with parsed data
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key |
| user_id | UUID | FK to users |
| title | VARCHAR(255) | Resume title |
| file_url | TEXT | Resume file URL (R2) |
| file_type | VARCHAR(10) | PDF, DOCX, TXT |
| parsed_data | JSONB | Extracted skills, experience, education |
| skills | ARRAY | Extracted skills |
| experience_years | INTEGER | Total experience years |
| education | JSONB | Education entries |
| work_history | JSONB | Work experience entries |
| is_primary | BOOLEAN | Primary resume |
| created_at | TIMESTAMP | Upload date |
applications
Job applications from seekers to employers
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key |
| job_id | UUID | FK to jobs |
| user_id | UUID | FK to users (applicant) |
| resume_id | UUID | FK to resumes |
| cover_letter | TEXT | Cover letter content |
| status | ENUM | submitted, reviewed, shortlisted, interviewed, offered, rejected, withdrawn |
| match_score | INTEGER | AI match score 0-100 |
| employer_notes | TEXT | Employer internal notes |
| rejection_reason | TEXT | Reason for rejection |
| applied_at | TIMESTAMP | Application date |
| reviewed_at | TIMESTAMP | When employer reviewed |
| updated_at | TIMESTAMP | Last status change |
saved_jobs
Job seeker saved/bookmarked jobs
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key |
| user_id | UUID | FK to users |
| job_id | UUID | FK to jobs |
| notes | TEXT | Personal notes about job |
| created_at | TIMESTAMP | Save date |
company_reviews
Employee reviews of companies
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key |
| company_id | UUID | FK to companies |
| user_id | UUID | FK to users (reviewer) |
| rating | INTEGER | Overall rating 1-5 |
| title | VARCHAR(255) | Review title |
| pros | TEXT | What is good about the company |
| cons | TEXT | What could be improved |
| advice_to_management | TEXT | Advice for leadership |
| employment_status | ENUM | current, former |
| job_title | VARCHAR(255) | Position held |
| is_anonymous | BOOLEAN | Anonymous review |
| created_at | TIMESTAMP | Review date |
job_alerts
Saved job search alerts with notifications
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key |
| user_id | UUID | FK to users |
| name | VARCHAR(255) | Alert name |
| search_criteria | JSONB | Search filters and keywords |
| frequency | ENUM | daily, weekly, instant |
| is_active | BOOLEAN | Whether alert is active |
| last_sent_at | TIMESTAMP | Last notification sent |
| created_at | TIMESTAMP | Alert creation date |
messages
Messaging between employers and seekers
| Field | Type | Description |
|---|---|---|
| id | UUID | Primary key |
| sender_id | UUID | FK to users |
| receiver_id | UUID | FK to users |
| application_id | UUID | FK to applications (optional) |
| content | TEXT | Message content |
| is_read | BOOLEAN | Read status |
| created_at | TIMESTAMP | Message time |
9.API Structure
/api/jobs Search jobs via Elasticsearch with full-text search on title, description, and requirements. Filter by location, salary, type, and experience level. Faceted results.
Response
/api/jobs Auth Required Create a new job listing. Validates company ownership. Indexes in Elasticsearch for search. Triggers matching for relevant candidates.
Response
/api/jobs/:slug Get full job details with company info, related jobs, and application count. Increments view count. Checks if user has already applied.
Response
/api/applications Auth Required Submit a job application with resume and optional cover letter. Validates not already applied. Calculates match score. Sends confirmation email.
Response
/api/applications Auth Required List applications for job seekers (by user) or employers (by company). Filter by status. Include job and applicant details.
Response
/api/applications/:id/status Auth Required Update application status (reviewed, shortlisted, interviewed, offered, rejected). Send status update email to applicant. Log status change.
Response
/api/resumes/:id/match Auth Required Calculate match score between a resume and job listing. Returns detailed breakdown of matching skills, experience, and gaps.
Response
/api/webhooks/sendgrid Handle SendGrid delivery events for email notifications. Update delivery status and retry failed sends.
Response
/api/companies/:slug Get company profile with jobs, reviews, and statistics. Public profile page for employer branding.
Response
/api/salary/:role/:location Salary data for a role in a specific location. Returns median, 25th, and 75th percentiles based on aggregated listing data.
Response
10.Folder Structure
11.Development Roadmap
Job Listings & Search
4 weeks- Set up Next.js with TypeScript and PostgreSQL
- Configure Elasticsearch for job search
- Build job posting form for employers
- Create job search with filters and facets
- Build job detail pages with company info
- Implement user authentication and profiles
Applications & Resumes
3 weeks- Build resume upload and parsing system
- Create job application flow
- Implement application tracking dashboard
- Build employer applicant review interface
- Add email notifications for status updates
- Implement saved jobs functionality
Matching & Analytics
3 weeks- Build intelligent job matching algorithm
- Create company profiles with reviews
- Implement salary insights from listing data
- Build job alerts and recommendations
- Add hiring analytics for employers
- Implement messaging between parties
Polish & Launch
2 weeks- Performance optimization and testing
- SEO audit and Google Jobs integration
- Mobile responsiveness across all pages
- Deploy to production with monitoring
- Create employer and seeker onboarding
- Launch marketing and employer outreach
12.Launch Checklist
Pre-Launch
Content
Technical
Post-Launch
13.Security Requirements
Data Privacy
Job seeker resumes and personal information are only visible to employers they apply to. Contact information hidden until application is accepted. GDPR compliant data handling.
Resume Security
Resumes stored with access controls. Only the job seeker and employers they apply to can access resume data. No resume data in search results.
Application Confidentiality
Applications are private between seeker and employer. Rejection reasons are not shared without employer consent. Application counts are anonymized.
Authentication
OAuth login with Google and LinkedIn for easy onboarding. JWT tokens with short expiry. Role-based access control for different user types.
Spam Prevention
Rate limiting on job posting and application endpoints. CAPTCHA on registration. Fraud detection for fake job listings. Easy reporting mechanism.
EEOC Compliance
Matching algorithms audited for bias against protected characteristics. No collection of age, race, gender, or disability data during job matching. Voluntary demographic data collection for compliance reporting only. Anti-discrimination policy enforcement for all job listings.
API Security
All API endpoints authenticated. Rate limiting per user. Input validation on all data. SQL injection prevention. CORS configured for allowed origins.
14.SEO Strategy
Search Intent
Transactional/Informational - Job seekers searching for positions and employers looking to hire
Primary Keywords
Long-Tail Keywords
15.Monetization Ideas
Job Posting Fees
Charge employers to post jobs: $99 for 30-day listing, $249 for featured listing with priority placement, $499 for premium package with candidate search access.
Subscription Plans
Monthly plans for employers: Starter ($199/mo for 5 postings), Growth ($499/mo for 20), Enterprise (custom for unlimited). Includes candidate search and analytics.
Premium Services
Resume database access ($299/month), candidate matching ($15/candidate), and employer branding ($999/month for enhanced company profile).
16.Estimated Cost
| Item | Free | Startup | Professional | Enterprise |
|---|---|---|---|---|
* Costs are estimates based on typical market pricing. Actual costs may vary by region and usage.
17.Development Timeline
Setup & Job Listings
4 weeks- Initialize Next.js project with TypeScript
- Set up PostgreSQL schema and migrations
- Configure Elasticsearch for indexing
- Build job posting form for employers
- Create job listing detail pages
- Implement basic job search with filters
Search & Applications
4 weeks- Build Elasticsearch-powered search with facets
- Create resume upload and parsing
- Implement job application flow
- Build application tracking dashboard
- Add email notifications for applications
Matching & Profiles
6 weeks- Build intelligent matching algorithm
- Create company profiles with reviews
- Implement salary insights calculation
- Build job alerts and recommendations
- Add employer hiring dashboard
- Implement messaging between parties
EEOC Compliance & ATS Integration
4 weeks- Implement EEOC compliance audit tools for matching algorithms
- Add bias detection and reporting for job listings
- Build ATS integration with Greenhouse, Lever, and Workday APIs
- Create compliance reporting dashboard for employers
- Implement anti-discrimination policy enforcement
Polish & Launch
4 weeks- SEO optimization for job listings
- Google Jobs structured data integration
- Performance optimization for search
- Mobile responsiveness audit
Final Testing & Deployment
2 weeks- End-to-end testing and bug fixes
- Security audit and penetration testing
- Deploy to production with monitoring
- Create onboarding for employers and seekers
18.Risks & Challenges
Chicken-and-egg problem: no job seekers without listings, no employers without seekers
Mitigation: Start with one industry or location. Partner with 20 employers for initial listings. Import public job listings to seed content. Offer free posting for first 3 months.
Resume parsing accuracy varies across formats and layouts
Mitigation: Use proven resume parsing API (Affinda, Sovren). Implement manual override for parsed data. Allow users to correct parsing errors. Continuous improvement from corrections.
Low application-to-hire conversion rate
Mitigation: Improve matching quality through better skill extraction. Provide application tips and resume feedback. Track and optimize the entire funnel.
Elasticsearch indexing lag for new job listings
Mitigation: Implement near-real-time indexing with 1-second delay. Show "just posted" badge for recent listings. Background job queue for bulk reindexing.
Discrimination concerns in job matching and filtering
Mitigation: Ensure matching algorithms do not discriminate based on protected characteristics. Regular bias audits. Clear anti-discrimination policy. Compliance with EEOC guidelines.
Fake job listings for phishing or scams
Mitigation: Employer verification before posting. Monitor for suspicious listings. Easy reporting mechanism. Regular audits of posted jobs. Verified employer badges.
19.Scalability Plan
| Metric | 1K Jobs | 10K Jobs | 100K Jobs | 1M Jobs |
|---|---|---|---|---|
| Job Listings | 1,000 | 10,000 | 100,000 | 1,000,000 |
| Job Seekers | 5,000 | 50,000 | 500,000 | 5,000,000 |
| Applications/Day | 500 | 5,000 | 50,000 | 500,000 |
| Search Queries/Day | 2,000 | 20,000 | 200,000 | 2,000,000 |
| Elasticsearch Size | 2GB | 20GB | 150GB | 1TB |
| Database Size | 1GB | 10GB | 80GB | 600GB |
| API Response Time | <50ms | <100ms | <200ms | <500ms |
| Monthly Infrastructure | $50 | $300 | $2,000 | $15,000 |
20.Future Improvements
AI-Powered Matching
Deep learning model that understands job requirements beyond keywords. Analyzes company culture, team dynamics, and growth potential for better candidate-job fit.
Video Interviews
Built-in asynchronous video interview platform. Employers send questions, candidates record responses. Reduces scheduling complexity and saves time.
Salary Negotiation Tools
Data-driven salary negotiation assistance. Market benchmarks, total compensation calculator, and counteroffer analysis tools for both parties.
Skills Assessment
Integrated skills testing platform. Employers can require assessments for technical roles. Verified skill badges on candidate profiles.
Career Path Visualization
Interactive career path tool showing typical progression from entry-level to executive. Helps career changers identify transition opportunities.
Global Expansion
Multi-language support, international job listings, visa sponsorship filters, and localized salary data for global hiring markets.
21.Implementation Guide
Set Up Elasticsearch
Configure Elasticsearch for full-text job search with faceted filtering and relevance ranking.
Implement Resume Parsing
Integrate a resume parsing API to extract skills, experience, and education from uploaded resumes.
Build Matching Algorithm
Create the job-candidate matching engine that compares resumes with job requirements.
Configure Google Jobs Schema
Add structured data markup for Google Jobs integration.
Deploy to Production
Deploy the job portal with Elasticsearch and all integrations configured.
22.Common Mistakes
Making job search too generic
Consequence: Search results overwhelm job seekers with irrelevant listings. High bounce rates and low application conversion.
Fix: Implement intelligent default filters based on user profile. Show personalized results. Use AI to rank results by relevance. Allow quick refinement of search.
Not handling job listing expiration
Consequence: Outdated job listings clutter search results. Applicants waste time applying to closed positions. Employer credibility suffers.
Fix: Set default 30-day expiration for listings. Auto-close expired listings. Notify employers before expiration. Allow easy renewal or relisting.
Complicated application process
Consequence: Each additional step in the application process reduces completion by 10%. Long forms and repeated data entry frustrate applicants.
Fix: Implement one-click apply with stored profile. Auto-fill from resume. Minimal required fields. Save progress for return applicants.
Ignoring mobile job seekers
Consequence: 60% of job searches happen on mobile. Poor mobile experience means lost applicants and lower search rankings.
Fix: Design mobile-first from the start. Simplify forms for mobile input. Ensure job listings are readable on small screens. Test application flow on phones.
Not providing application feedback
Consequence: Job seekers feel ignored when they never hear back. Negative experience damages platform reputation and reduces repeat usage.
Fix: Implement automated status updates at each stage. Provide rejection reasons when possible. Allow employers to send template responses. Track employer response rates.
23.Frequently Asked Questions
How does the matching algorithm work?
Can employers see my contact information?
How do I improve my match score?
Are job listings verified?
Can I apply to the same company for multiple positions?
How do salary insights work?
24.MVP Version
Job Listings
Employers create job posts with title, description, requirements, salary range, and location. Support for remote and on-site positions.
Job Search
Search by keywords with filters for location, salary, job type, and experience level. Sort by relevance or date. Basic job cards with key details.
Job Applications
Job seekers apply with stored resume. Basic application form with cover letter option. Application status tracking (submitted, reviewed, rejected).
Email Notifications
Application confirmation emails. Status update notifications. Basic job alerts for saved searches.
25.Production Version
Advanced Search
Elasticsearch-powered full-text search with typo tolerance. Faceted filtering. Personalized results based on profile and history.
Intelligent Matching
AI-powered job-candidate matching with detailed score breakdown. Recommended jobs based on profile. Candidate recommendations for employers.
Company Profiles
Branded company pages with description, culture, benefits, and employee reviews. Company following and job alerts.
Hiring Pipeline
Employer dashboard with applicant tracking. Status management. Interview scheduling. Collaborative hiring with team scorecards.
Salary & Market Data
Salary insights by role and location. Market demand indicators. Skills gap analysis. Career path recommendations.
Mobile Experience
Fully responsive design. Push notifications for new matches. Quick apply on mobile. Saved searches and alerts.
26.Scaling Strategy
The job portal scales through Elasticsearch for search, database read replicas for analytics, and CDN-cached job listing pages. Job listings are indexed in Elasticsearch for sub-100ms full-text search even with millions of listings. Company profiles and job detail pages are statically generated for fast global access.
Application processing scales through background job queues that handle resume parsing, matching calculations, and email notifications asynchronously. Job alerts use batch processing for efficient delivery. Search suggestions are cached for instant autocomplete. Analytics use pre-aggregated daily tables.
- Elasticsearch for sub-100ms full-text search across millions of listings
- Statically generated job pages via Vercel Edge Network
- Background job queues for resume parsing and matching calculations
- Redis caching for search suggestions and autocomplete
- Pre-aggregated analytics tables for employer dashboards
- Batch email processing for job alerts and notifications
- Database partitioning by region for data locality
27.Deployment Guide
Vercel (Recommended)
Deploy with `vercel --prod`. Set environment variables for Supabase, Elasticsearch, SendGrid, and R2. Configure custom domain. Enable edge functions for search.
Docker
Self-hosted deployment with docker-compose. Includes PostgreSQL, Elasticsearch, and the Next.js application. Suitable for organizations requiring full control.
Railway
One-click deploy with managed PostgreSQL. Elasticsearch add-on available. Simplified configuration for quick launch. Good for MVP deployments.
AWS (Advanced)
Full AWS deployment with ECS, RDS, Elasticsearch Service, and CloudFront. Suitable for high-traffic portals requiring auto-scaling and global distribution.
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