Python Fullstack Developer

We are looking for a skilled Python Full Stack Developer to join our Analytify project team. The role involves designing and developing scalable web applications using Python (Django/Flask) for backend development and collaborating with the Angular frontend team. The ideal candidate will have hands-on experience with API development, data processing frameworks, and cloud-based (AWS) services. Experience integrating AI/LLM components, working in agile environments, and building high-performance, secure applications is highly desirable.

Key Responsibilities:

• Develop, test, and maintain backend applications using Python (Django and Flask) frameworks.
• Design, implement, and manage RESTful APIs for seamless integration with frontend systems.
• Work with Celery, Redis, and RabbitMQ for task management and asynchronous processing.
• Build and manage data processing workflows using Pandas, NumPy, and PySpark.
• Utilize AWS Lambda and other cloud-based services for serverless computing.
• Collaborate with the Angular frontend team for API integration and feature development.
• Integrate AI and LLM (Large Language Model) components into analytical modules as required.
• Ensure scalability, performance, and security across all developed applications.
• Participate in code reviews, architecture discussions, and sprint planning sessions.
• Manage and implement API integrations and other third-party integrations.
• Contribute to data analytics and business intelligence application development.
• Apply knowledge of microservices and event-driven architecture.
• Work effectively within cross-functional agile teams, demonstrating ownership and accountability.

Required Skills & Qualifications:

• Bachelors degree in Computer Science, Software Engineering, or a related field
• Strong proficiency in Python, Django, and Flask.
• Hands-on experience with Angular (for integration and collaboration).
• Solid understanding of data processing frameworks (Pandas, NumPy, PySpark).
• Familiarity with Celery, Redis, and RabbitMQ.
• Experience with AWS (especially Lambda, EC2, and S3).
• Exposure to AI/LLM integration is a plus.

Preferred Qualifications:

• Knowledge of microservices and event-driven architecture.
• Ability to work collaboratively with cross-functional teams in an agile environment.
• Strong ownership mindset and commitment to product quality.