Senior Python Developer

About the Role"

AI Innovation Programme

Key Responsibilities

• Design, develop, and implement

  high-performance Python-based web applications and microservices

  .
• Collaborate with

  product managers, business analysts, and developers

  to deliver robust, scalable, and secure software solutions.
• Drive the

  adoption of clean code, design patterns, and best practices

  to maintain software quality and performance.
• 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

  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, Software Engineering, or related technical discipline.

• 4–8 years of experience

  in backend development using

  Python 3

  .
• Hands-on expertise with

  Django, Flask, or FastAPI

  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, 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 and performance optimization

  .