Python fast API
3 days ago
Role Overview
We are seeking a Python/FastAPI Development Lead with strong expertise in FastAPI to join an exciting Reinforcement Learning (RL) Gym project. You will design, build, and optimize scalable APIs, collaborate with researchers and engineers, and deliver high-quality backend services to support reinforcement learning experiments and simulations. Prior RL Gym experience is not mandatory but would be a plus.
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, optimize 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.
- Bachelors or Master's degree in Computer Science, Engineering, or a related field.
Evaluation Process
- Technical Interview with live coding challenge focused on Python and FastAPI (60 mins)
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