Requisition Id: 1620828 

Role Summary:

We are seeking an experienced Backend Developer to join our dynamic team. The ideal candidate will have a strong engineering background and a passion for developing scalable, high-performance GenAI based backend systems. As a Backend Developer, you will be responsible for creating robust backend services and contributing to our microservices architecture, ensuring the delivery of quality solutions.

Key Responsibilities:

• Design, develop, and maintain efficient, reusable, and reliable backend code using Python with frameworks such as Django and FastAPI.
• Implement and manage microservices architecture, ensuring system scalability, reliability, and maintainability.
• Develop and maintain data storage solutions, including databases such as MySQL and NoSQL systems like MongoDB.
• Leverage cloud services to build and deploy applications, ensuring high availability and performance.
• Design and implement event-driven architecture using messaging systems such as RabbitMQ, Azure Queues to facilitate asynchronous processing and communication between services.
• Collaborate with cross-functional teams to integrate backend services with frontend interfaces and third-party systems.
• Participate in code reviews, adhere to best practices, and contribute to the continuous improvement of our development processes.
• Troubleshoot and resolve complex technical issues related to backend development.

Required Skills and Qualifications:

• Bachelor's degree in computer science, Engineering, or a related field.
• 6 years of professional experience in backend development post obtaining an engineering degree.
• Proficiency in Python and experience with frameworks such as Django and FastAPI.
• Solid understanding of microservices architecture and experience in implementing scalable systems.
• Good hands-on experience on Generative AI based products.
• Experience with relational databases, NoSQL databases and caching (Redis).
• Familiarity with Azure or AWS cloud services and deploying applications in a cloud environment.
• Knowledge of event-driven architecture and messaging systems like RabbitMQ, Azure Queues.
• Excellent problem-solving, debugging, and communication skills.
• Understanding of version control system like Git.

Nice to Have:

• Good prior experience of product-based companies.
• Working experience with data science and ML engineering teams.
• Knowledge of CI/CD pipelines and server deployment strategies.