Python/FastAPI Development Lead Role

About the Client:

Our client is a trusted global innovator of IT and business services. We help clients transform through consulting, industry solutions, business process services, digital & IT modernisation and managed services. Our client enables them, as well as society, to move confidently into the digital future. We are committed to our clients’ long-term success and combine global reach with local client attention to serve them in over 50 countries around the globe.

Job Title: Python/FastAPI Development Lead Role

Location: Pan India

Experience: 8+ yrs

Job Type: Contract to hire

Notice Period:- Immediate joiner

What does day-to-day life look like?

• Design, build, and maintain FastAPI-based services for experimentation workflows and simulation environments.
• Collaborate with ML engineers to expose APIs for training, evaluation, and benchmarking.
• Write efficient, production-grade Python code with a strong emphasis on scalability and maintainability.
• Troubleshoot performance issues, optimise pipelines, and ensure smooth deployment of applications.

Requirements:

• 8+ years of professional experience in Python development, including 5+ years of hands-on expertise with FastAPI for building scalable, high-performance backend systems.
• 4+ years of team leadership experience, managing and mentoring teams of 5 or more developers to deliver high-quality, maintainable code.
• Proven ability to review code, provide constructive feedback, and merge PRs to ensure consistency, reliability, and adherence to engineering standards.
• Strong track record of identifying and mitigating risks early, coupled with a deep sense of ownership and accountability across the full software development lifecycle.
• Expert-level knowledge of FastAPI (experience with frameworks such as Flask or Django is beneficial, but FastAPI expertise is required).
• Hands-on experience in designing and maintaining RESTful APIs, implementing asynchronous programming, and managing the complete API lifecycle from design to deployment.
• Solid understanding of software engineering best practices, including automated testing, CI/CD pipelines, version control (Git), and scalable design patterns.
• Familiarity with NumPy and Pandas; exposure to PyTorch or TensorFlow is a plus.
• Good to have: Experience with SQL and familiarity with Reinforcement Learning (RL) environments such as OpenAI Gym, Gymnasium, or Stable Baselines.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.