Senior Python Developer

Role & responsibilities

Job description

About the Role

We are looking for a Senior Python Developer who is passionate about backend development and emerging technologies, especially in the field of AI and automation. This role combines hands-on development with technical leadership, focusing on building production-grade APIs, architecting microservices, and integrating advanced technologies into real-world, high-performance backend systems and distributed applications.

Key Responsibilities

• Design, develop, and implement high-performance Python-based web applications and microservices.
• Collaborate with product managers, developers and stakeholders to translate business requirements into scalable & secure technical solutions and system designs.
• Establish and enforce coding standards, design patterns, and best practices to ensure maintainable and high-quality codebases.
• Participate in all phases of the software development lifecycle including requirement analysis, architecture design, development, testing, deployment, and maintenance.
• Build and maintain RESTful APIs using frameworks like Django REST Framework or FastAPI.
• Conduct code reviews, provide technical mentorship, and ensure adherence to development standards.
• Monitor and optimize application performance, ensuring scalability and stability.
• Stay updated on emerging AI technologies, evaluate and integrate them, and explore ways to incorporate them into backend systems.
• Troubleshoot complex technical issues and support deployment pipelines.
• Contribute to the strategic improvement of the digital development function and identify opportunities for automation and innovation.

Required Skills & Qualifications

• Bachelors degree in Computer Science, Engineering, or a related field (or equivalent practical experience)
• 4-8 years of experience in backend development using Python 3.
• Strong Hands-on expertise with Django, FastAPI, or Flask frameworks.
• Strong experience in developing and consuming RESTful APIs.
• Proficiency with databases both relational (PostgreSQL, MySQL) and NoSQL (MongoDB).
• Solid understanding of microservices architecture and asynchronous processing.
• Experience with unit testing and debugging using tools such as PyTest, unittest, or PyUnit.
• Understanding of web servers (ASGI/WSGI), load balancers, and background job queues.
• Hands-on experience with cloud deployments on platforms like AWS, DigitalOcean, or Heroku.
• Exposure to AI tools and integrations (e.g., Cursor, WindSurf, Claude Code, or similar).
• Excellent problem-solving, analytical, and communication skills.

Good to Have

• Experience or interest in Generative AI (LLMs, AI agents, AutoML) and AI model integration.
• Familiarity with Python libraries such as NumPy, Pandas, or Scikit-learn.
• Exposure to RAG-based QA, code generation, or AI-driven automation.
• Experience in application monitoring, observability and performance optimization.