Python Developer

We are looking for a Senior Python Developer with 8+ years of hands-on experience in designing, developing, and maintaining scalable applications. The ideal candidate should have strong object-oriented programming skills, solid system and application design experience, and the ability to write clean, efficient, and well-documented code. This role is hands-on and requires deep technical expertise rather than only coordination or review responsibilities.

Key Responsibilities

Design, develop, test, and maintain high-quality Python applications using best coding and design practices

Perform hands-on coding across backend services, APIs, and business logic layers

Apply object-oriented design principles (OOP, SOLID, design patterns) in real-world implementations

Translate business requirements into technical designs and functional code

Write clean, modular, reusable, and well-documented Python code

Participate actively in architecture discussions, design reviews, and code reviews

Optimize application performance, scalability, and reliability

Troubleshoot, debug, and resolve complex technical issues

Collaborate with cross-functional teams (Product, QA, DevOps)

Mentor junior developers and enforce coding standards and best practices

Required Skills & Qualifications

8+ years of strong hands-on experience in Python development

Excellent knowledge of object-oriented programming (OOP) concepts and design patterns

Proven experience in designing scalable applications and systems

Strong experience writing production-quality Python code

Experience with Python frameworks such as Django, Flask, FastAPI (any one or more)

Strong understanding of RESTful API design and development

Experience with relational and/or NoSQL databases

Solid understanding of data structures, algorithms, and performance optimization

Experience with unit testing, debugging, and code reviews

Proficiency with Git/version control systems

Added Advantage (Good to Have)

Knowledge or hands-on exposure to AI/ML concepts

Experience working with AI/ML libraries or frameworks such as TensorFlow, PyTorch, scikit-learn, LangChain, or similar

Familiarity with AI-driven applications, data processing, or model integration

Exposure to LLMs, NLP, computer vision, or automation use cases

Experience integrating AI models or APIs into production applications