About Us
Autozone Professional Ltd is a dynamic and growing company focused on Automotive Spares. We leverage technology to streamline operations, optimize inventory, and drive data-informed decisions.
We are looking for a passionate and versatile Full Stack Developer to join our team and play a key role in developing and maintaining our core business systems.
Full Stack Developer (Django & Data Science)
Full Time
Key Responsibilities
- Design, develop, and maintain robust and scalable web applications using Django and Python
- Develop and integrate APIs for seamless connectivity with third-party services and internal systems
- Build intuitive, responsive, and user-friendly frontend interfaces using HTML, CSS, JavaScript, and Bootstrap
- Design, implement, and optimize database schemas and queries (DBMS like PostgreSQL/MySQL)
- Develop and maintain stock, inventory, and warehouse management modules
- Implement data science techniques for forecasting, analysis, and generating business insights from operational data
- Containerize applications using Docker and manage deployments on Ubuntu servers
- Potentially contribute to or integrate with mobile applications
- Collaborate with cross-functional teams to define, design, and ship new features
Qualifications
Must Have
- Degree in Software Engineering, Computer Science, or a related field
- 2 - 4 years of professional experience in a full-stack development role
- Solid experience with API development and integration (REST, SOAP, etc.)
- Direct, hands-on experience developing or customizing stock and inventory management systems
- Understanding of software development best practices (Version Control with Git, Testing, CI/CD)
- Strong proficiency in:
- Backend: Python, Django REST Framework
- Frontend: HTML5, CSS3, JavaScript, Bootstrap
- Database: Strong DBMS knowledge (PostgreSQL or MySQL)
- Deployment: Proven experience deploying applications on Linux (Ubuntu) servers. Knowledge of Docker is essential
Highly Desirable
- Experience with ERPNext or the Frappe framework
- Practical experience applying Data Science libraries (Pandas, NumPy, Scikit-learn) for data analysis and modeling
- Experience with mobile app development (React Native, Flutter, or native)
- Familiarity with cloud platforms (AWS, Google Cloud, or Azure)
- Knowledge of JavaScript frameworks (React.js, Vue.js, or Angular)
Apply to: