Senior Python Developer

Job Summary

We are hiring a Senior Software Engineer with strong expertise in Python backend development. The ideal candidate will have hands-on experience building scalable APIs, managing databases, and implementing complex application logic. Experience in front-end development, DevOps practices, and GenAI integration is a plus.

Key Responsibilities

Primary Skills (Backend Development)

• Develop and maintain robust backend services using Python and modern frameworks like FastAPI, Django, or Flask.
• Design and implement scalable RESTful and GraphQL APIs using libraries like Django REST Framework or Graphene.
• Work with relational databases like PostgreSQL or MySQL (using an ORM like Django ORM or SQLAlchemy) and NoSQL databases for data modeling and performance optimization.
• Implement real-time features using WebSockets with libraries like FastAPI or Django Channels.
• Ensure backend performance, scalability, and security through best practices.
• Collaborate with cross-functional teams to define and architect backend solutions.
• Conduct code reviews and mentor junior developers.

Good-to-Have Skills

GenAI Integration

• Integrate GenAI models and services into the application logic using frameworks like LangChain, LlamaIndex, or directly with provider APIs (e.g., OpenAI, Google Gemini).
• Handle authentication, data flow, and response formatting for AI-powered features.
• Ensure the scalability, security, and performance of GenAI integrations.

Front-End Development

• Experience with a modern front-end framework like React.js

DevOps & Deployment

• Basic knowledge of CI/CD pipelines.
• Familiarity with containerization using Docker and orchestration tools.
• Experience with workflow automation tools like GitHub Actions or Azure Pipelines.
• Experience with cloud deployment platforms like Azure, AWS, or GCP.

Desired Candidate Profile

• 5+ years of experience in backend or full-stack development with a focus on Python.
• Strong proficiency in Python and its core libraries and ecosystem.
• Strong understanding of Object-Oriented Programming (OOP) principles and design patterns.
• Experience with both relational (e.g., PostgreSQL) and NoSQL databases.
• Familiarity with version control systems like Git.
• Excellent problem-solving and communication skills.