Aloha Platform Development 🏝️

Fullstack Engineer

Software Engineer

Web Developer

Python

🌐 Project Introduction

📌 Applicant Reception:

Centralized Application Management: Gather applicant information scattered across various channels like Wanted, RocketPunch, JobKorea, Saramin, and more, automatically integrated into Aloha.

Customizable Application Forms: Easily tailor application forms to your company's priorities and gather pre-emptive responses from candidates.

📌 Candidate Management:

Inbound & Outbound Recruitment in One Place: View the entire recruitment process at a glance, from document submission to hiring completion.

Tailored Views: Sort candidates based on job listings, recruitment stages, or any other preferred view for streamlined management.

📌 Developer Document Review:

Quick Skill Verification with Code Analysis: Wondering how familiar applicants are with the tech stacks your company uses? With Aloha's GitHub code analysis, quickly gauge the real technical and communication capabilities of developers.

Instant Analysis with GitHub: Over 90% of developer applicants provide their GitHub profiles. Just input their GitHub URL into Aloha, and voilà, instant analysis!

📌 Candidate Collaboration:

Seamless Candidate History Tracking: In just 10 seconds, see who managed a candidate, when, and how. It's all organized chronologically.

Real-time Communication: Share comments about candidates with team members. Mention specific team members to notify them instantly for real-time feedback.

📌 Recruitment Data:

Optimize with Data: Improve your hiring process by focusing on key metrics. From inbound to outbound recruitment data, Aloha provides essential data for evolving businesses.

Channel Efficiency: Check which recruitment channel brings in the most candidates and those that convert. Manage your recruitment sources effectively.

Lead Time Analysis: Set desired lead times and identify which stages need acceleration.

One-click Data Export: Export organized data directly into Excel, with the flexibility to choose your desired timeframe.

Multi-dimensional Data Checking: Not just job-specific data; select multiple job listings to view consolidated data. Check metrics across multiple listings, job roles, or even all listings.

Aloha is your comprehensive solution for efficient and insightful recruitment management. With its extensive features and data-driven approach, you're equipped to make the best hiring decisions for your company.

📌 Description

At Algorima, spearheading the Aloha project as the Chief Architect enabled me to revolutionize the recruitment realm. By blending technology and recruitment, we've transformed the way companies interact with and evaluate potential candidates, thereby enhancing the hiring experience manifold.

🚀 Project Highlights

📊 Unified Recruitment Portal: Leveraging the power of React, we crafted an all-encompassing platform on Firebase, streamlining applicant data from various channels, making candidate evaluation a breeze.

🔐 Intuitive Back-End Services: With Django's robustness in Python, our back-end flawlessly managed tasks such as authentication and data retrieval, forming the backbone of our service.

💌 Asynchronous Task Mastery: Celery, our chosen back-end service worker, adeptly managed asynchronous tasks, notably ensuring timely email dispatches, augmenting operational efficiency.

🌉 Efficient Message Management: Integrating RabbitMQ with Kubernetes, we facilitated seamless task queueing for our Celery workers, bolstering system responsiveness.

💾 Reliable Data Management: By employing PostgreSQL on Google Cloud SQL, we ensured robust, scalable, and secure data storage, accommodating the dynamic needs of modern recruitment.

📦 Streamlined Storage Solutions: Utilizing Google Cloud Storage, we've centralized object storage, ensuring consistent data availability and rapid retrieval.

🛠️ Seamless Deployment with Kubernetes: Our utilization of the Google Kubernetes Engine, with clear environment demarcations (dev, staging, prod), enabled us to ensure consistent, scalable, and efficient deployments.