Product Overview:

Live URL

• OceaniaDevs is a new jobs platform focused entirely on the technology industry in Australia and dedicated to serving technology professionals. This job platform is meant to serve as a more precise and tailored alternative for frustrated job seekers in the technology industry with a far better discovery process than that provided by the dominant platforms.

Technical Aspects:

Tools Used: Python, Flask, PostgreSQL, Javascript, Nginx, Redis, React, Github Actions, AWS

• Utilized Python and Flask with Gunicorn with the Gevent library for the backend
• Leveraged PostgreSQL’s Full-Text Search (FTS) capabilities and created indexes on key columns, resulting in a ∼80% improvement in search query execution times
• Configured NGINX as a reverse proxy, significantly boosting page load speeds
• Implemented Redis for session management and caching search queries, reducing average response times by 60%
• Utilized Docker for containerization, ensuring consistent development and deployment environments
• Built a CI/CD pipeline to automate the deployment of the dockerized application to AWS Lightsail using GitHub Actions, streamlining updates and maintenance
• Developed a responsive frontend with React and TailwindCSS, ensuring a modern and user-friendly interface

System Design:

ERD Diagram:

Notes:

• Borne out of my own frustrations with the job-search process here, I decided to build OceaniaDevs to scratch my own itch of using a more human-friendly jobs platform dedicated to tech professionals and their needs, with a richer, easier search process

• This has been a entirely solo effort from the start. Although at the very beginning, it was meant to be a group effort hence why 4 contributors are listed (with one commit each by them at the very start)

• Launched in a limited-beta release; the platform already has 25+ registered users and applications from candidates and growing each day. I am optimistic that this platform will grow to serve thousands more job seekers over the coming months once I release the application to the wider public in end-October.

• Upcoming Features:

• Candidate Database with rich, detailed profile of the technical skillset of each candidate

• Advanced Candidate Ranking & Recommender System for each job, for Recruiters by using the power of Vector Embeddings + Advanced ML & NLP techniques

• Automated Candidate Telephonic Qualification for Jobs through Outbound Sales AI Agent

Candidate Features:

Home/Landing Page with Jobs displayed by Specialisation

Job Search - Tailored Search & Filtering for Technology Roles:

Search by Job Roles, Job Titles, and Companies Direct from the Search Bar:

Advanced Job Filtering: Search by Specialisation, Flexibility, Location, Type, etc

Obtain the Tech Stack for Each Job Without Reading Through the Fine Print:

Filter Jobs on the Basis of Tech Stack:

Companies Search:

Company Page:

Human-Friendly Job Post Design & Features:

Top Half:

Middle: Requirements & Responsibilities

Bottom: Tech Stack and Similar Jobs

Saved Jobs: Bookmark & Save Jobs for Later:

Applied Jobs: Apply to Jobs and Keep Track of Them:

Application Outcomes Tracker: Track & Update Application Outcomes in One Place

Recruiter Features:

Recruiter Dashboard:

Recruiter Dashboard: Keep Track of Active & Expired Jobs:

Recruiter Onboarding Step 1:

Recruiter Onboarding Step 2: Find Employer or Create New One

Recruiter Onboarding: Register with Employer:

Recruiter Onboarding: Email Verification Step:

Production Setup:

docker-compose -f docker-compose.yml -f docker-compose.prod.yml up --build

Development Setup:

docker-compose -f docker-compose.yml -f docker-compose.dev.yml up --build

Staging Setup:

docker-compose -f docker-compose.yml -f docker-compose.staging.yml up --build

Job Board Application

This is a dockerized Job Board application with a React frontend, Flask backend, PostgreSQL database, and Redis for caching. Prerequisites

Setup and Running the Application

To stop the application: docker-compose down

Build the application: docker compose build

Run the application docker compose up

Contributing

Pull the latest changes from the main branch. Create a new branch for your feature or bug fix. Make your changes and test thoroughly. Commit your changes and push to your branch. Create a pull request for review.

Additional Notes

The first time you run the application, it may take a few moments to start as it needs to run database migrations. Always pull the latest changes and run docker-compose up --build to ensure you have the most up-to-date version of the application. If you make changes to requirements.txt, rebuild the backend container for the changes to take effect.