Python Developer - DBMS (4-7 yrs)

Key Responsibilities :

Backend Development

- Design, develop, and optimize scalable APIs in Python for an advanced email management platform.

- Implement core functionalities such as email download, mail count aggregation, and console views.

- Develop AI-powered modules for email sorting, categorization, and real-time data processing.

System Integration :

- Integrate with Azure services for email domain validation and synchronization with Google/Outlook accounts.

- Develop real-time messaging and data streaming modules using Kafka.

- Utilize MongoDB to handle large datasets efficiently with optimized database queries.

Real-Time Features :

- Build WebSocket-based systems for SSO authentication and live notifications.

- Collaborate on data visualization modules and advanced integrations with tools like Mapbox.

Security and Authentication :

- Implement robust SSO authentication systems with role-based access management.

- Develop and maintain super admin panels with granular access control.

Cloud and Hosting :

- Use AWS for hosting, auto-scaling, and managing the application infrastructure.

- Establish seamless CI/CD pipelines for reliable deployment and failover mechanisms.

Analytics and Reporting :

- Build backend systems for advanced analytics, reporting, and real-time data insights.

- Implement payment gateway integrations to support subscription-based services.

Collaboration :

- Work closely with the front-end development team to ensure seamless integration of backend features.

- Provide technical guidance to resolve debugging and performance optimization challenges.

Required Qualifications :

Technical Skills :

Programming :

- Expertise in Python with a strong focus on backend development.

API Development :

- Proficiency in designing and implementing scalable, RESTful APIs.

System Integration :

- Experience with Azure (email synchronization, domain validation) and AWS.

Messaging Systems :

- Hands-on experience with Kafka for real-time messaging and streaming.

Database Management :

- Proficiency in MongoDB for handling large-scale datasets.

Real-Time Systems :

- Knowledge of WebSocket for live notifications and SSO systems.

AI/ML :

- Familiarity with libraries and tools for implementing AI-based solutions.

Cloud Solutions :

- Experience in deploying and scaling applications on AWS or other cloud platforms.

Soft Skills :

- Strong problem-solving and debugging capabilities.

- Effective communication skills to collaborate with cross-functional teams.

- Ability to manage multiple priorities in a fast-paced environment.

Preferred Skills :

- Experience with AI-driven workflows and machine learning tools.

- Knowledge of email protocols, systems, and advanced integration techniques.

- Familiarity with Chrome-to-Windows notification systems and advanced visualization tools.

Certifications :

- Certifications in cloud platforms like AWS or Azure are a plus.

What We Offer :

- Opportunity to work on cutting-edge, AI-integrated software solutions.

- A collaborative and innovative work environment that encourages creativity.

- Competitive compensation with opportunities for professional growth and development.

- Exposure to working on large-scale, high-impact projects using the latest technologies