High-Performance XML/Algolia Job Board Development
Budget: $3,000 – $5,000 USD
Before you start: AI BIDS will be blocked for further biddings.
We are developing a modern, scalable job board. The platform must support importing and managing over 10K jobs per day, include a full-featured search interface powered by Algolia, and be built using modern technologies that are scalable, fast, and easy to maintain.
Technology Stack
• Backend: Python (FastAPI), Celery, PostgreSQL, Redis
• Frontend: Next.js (React), Tailwind CSS
• Search: Algolia
• Deployment: Vercel (frontend), Railway/Fly.io (backend), Docker, GitHub Actions
⸻
Scope of Work and Estimation Request
Please provide an estimated number of hours for each deliverable listed below. You can bid on the full project or specific parts.
⸻
1. Backend API (FastAPI)
• Build RESTful API endpoints for jobs: create, retrieve, list with filters
• Integrate PostgreSQL
• Use Pydantic models for validation
• Include error handling and pagination
Estimated hours: ______
⸻
2. Database Schema
• Design a PostgreSQL schema for storing job listings and related data
• Index fields for search performance and filtering
Estimated hours: ______
⸻
3. XML Import System
• Create a parser for large XML feeds (RSS, Atom, or custom formats)
• Map fields and validate entries
• Handle duplicates and errors gracefully
Estimated hours: ______
⸻
4. Algolia Search Integration
• Integrate Algolia indexing for job records (on insert/update)
• Create a script for full re-indexing of existing data
Estimated hours: ______
⸻
5. Asynchronous Task Processing
• Set up Celery with Redis for background processing (XML imports, indexing)
• Handle retries, failures, and logging
Estimated hours: ______
⸻
6. Frontend Application (Next.js + Tailwind CSS)
• Build homepage, job listings page, and job detail page
• Implement SSR for SEO
• Ensure mobile responsiveness and clean UI with Tailwind CSS
Estimated hours: ______
⸻
7. Algolia InstantSearch UI
• Implement Algolia InstantSearch with filters (e.g., location, job type)
• Add pagination and sorting options
Estimated hours: ______
⸻
8. Admin Panel (Optional)
• Admin interface for monitoring feeds, jobs, and import logs
• Option to trigger manual imports or view failures
Estimated hours: ______
⸻
9. Deployment & CI/CD
• Dockerize backend and services
• Deploy backend (Railway/Fly.io) and frontend (Vercel)
• Configure GitHub Actions for continuous deployment
Estimated hours: ______
TOTAL hours ⸻
Please answer the following questions with your bid:
⸻
Backend / FastAPI / Celery
1. Have you built a production API using FastAPI with asynchronous endpoints?
2. Have you deployed a FastAPI app to a cloud platform (e.g., Railway, Fly.io, or AWS)?
3. Have you used Celery with Redis for background task processing in a production project?
4. Have you built a system to parse and process large XML feeds in chunks or streams?
5. Have you implemented data deduplication during import operations?
⸻
Database / PostgreSQL
6. Have you designed and optimized a PostgreSQL schema for millions of rows?
7. Have you used database indexes to improve performance on filtered or sorted queries?
8. Have you set up a task to sync a PostgreSQL dataset to an external service (like Algolia)?
9. Have you handled data integrity during bulk imports with concurrent workers?
10. Have you performed load testing against your own API and database?
⸻
Algolia Search
11. Have you integrated Algolia into a web application using their Admin API for indexing?
12. Have you implemented real-time syncing between a database and Algolia index?
13. Have you used Algolia InstantSearch on the frontend with filters and pagination?
14. Have you optimized Algolia records to stay under the size and performance limits?
⸻
Frontend / Next.js / Tailwind
15. Have you built a server-rendered (SSR) Next.js application deployed on Vercel?
16. Have you used Tailwind CSS to design responsive UIs without relying on external themes?
17. Have you connected a Next.js frontend to a FastAPI backend using fetch or Axios?
⸻
Deployment / DevOps
18. Have you Dockerized a full-stack app and run it locally or in staging?
19. Have you used GitHub Actions (or similar) for CI/CD workflows on a multi-service project?
20. Have you configured monitoring or logging (e.g., Sentry, LogRocket, or ELK) for error tracking?
We are developing a modern, scalable job board. The platform must support importing and managing over 10K jobs per day, include a full-featured search interface powered by Algolia, and be built using modern technologies that are scalable, fast, and easy to maintain.
Technology Stack
• Backend: Python (FastAPI), Celery, PostgreSQL, Redis
• Frontend: Next.js (React), Tailwind CSS
• Search: Algolia
• Deployment: Vercel (frontend), Railway/Fly.io (backend), Docker, GitHub Actions
⸻
Scope of Work and Estimation Request
Please provide an estimated number of hours for each deliverable listed below. You can bid on the full project or specific parts.
⸻
1. Backend API (FastAPI)
• Build RESTful API endpoints for jobs: create, retrieve, list with filters
• Integrate PostgreSQL
• Use Pydantic models for validation
• Include error handling and pagination
Estimated hours: ______
⸻
2. Database Schema
• Design a PostgreSQL schema for storing job listings and related data
• Index fields for search performance and filtering
Estimated hours: ______
⸻
3. XML Import System
• Create a parser for large XML feeds (RSS, Atom, or custom formats)
• Map fields and validate entries
• Handle duplicates and errors gracefully
Estimated hours: ______
⸻
4. Algolia Search Integration
• Integrate Algolia indexing for job records (on insert/update)
• Create a script for full re-indexing of existing data
Estimated hours: ______
⸻
5. Asynchronous Task Processing
• Set up Celery with Redis for background processing (XML imports, indexing)
• Handle retries, failures, and logging
Estimated hours: ______
⸻
6. Frontend Application (Next.js + Tailwind CSS)
• Build homepage, job listings page, and job detail page
• Implement SSR for SEO
• Ensure mobile responsiveness and clean UI with Tailwind CSS
Estimated hours: ______
⸻
7. Algolia InstantSearch UI
• Implement Algolia InstantSearch with filters (e.g., location, job type)
• Add pagination and sorting options
Estimated hours: ______
⸻
8. Admin Panel (Optional)
• Admin interface for monitoring feeds, jobs, and import logs
• Option to trigger manual imports or view failures
Estimated hours: ______
⸻
9. Deployment & CI/CD
• Dockerize backend and services
• Deploy backend (Railway/Fly.io) and frontend (Vercel)
• Configure GitHub Actions for continuous deployment
Estimated hours: ______
TOTAL hours ⸻
Please answer the following questions with your bid:
⸻
Backend / FastAPI / Celery
1. Have you built a production API using FastAPI with asynchronous endpoints?
2. Have you deployed a FastAPI app to a cloud platform (e.g., Railway, Fly.io, or AWS)?
3. Have you used Celery with Redis for background task processing in a production project?
4. Have you built a system to parse and process large XML feeds in chunks or streams?
5. Have you implemented data deduplication during import operations?
⸻
Database / PostgreSQL
6. Have you designed and optimized a PostgreSQL schema for millions of rows?
7. Have you used database indexes to improve performance on filtered or sorted queries?
8. Have you set up a task to sync a PostgreSQL dataset to an external service (like Algolia)?
9. Have you handled data integrity during bulk imports with concurrent workers?
10. Have you performed load testing against your own API and database?
⸻
Algolia Search
11. Have you integrated Algolia into a web application using their Admin API for indexing?
12. Have you implemented real-time syncing between a database and Algolia index?
13. Have you used Algolia InstantSearch on the frontend with filters and pagination?
14. Have you optimized Algolia records to stay under the size and performance limits?
⸻
Frontend / Next.js / Tailwind
15. Have you built a server-rendered (SSR) Next.js application deployed on Vercel?
16. Have you used Tailwind CSS to design responsive UIs without relying on external themes?
17. Have you connected a Next.js frontend to a FastAPI backend using fetch or Axios?
⸻
Deployment / DevOps
18. Have you Dockerized a full-stack app and run it locally or in staging?
19. Have you used GitHub Actions (or similar) for CI/CD workflows on a multi-service project?
20. Have you configured monitoring or logging (e.g., Sentry, LogRocket, or ELK) for error tracking?