Senior Backend Engineer

3 semanas atrás


Brasília, Brasil beBeeDevelopment Tempo inteiro

Job Overview We are seeking an experienced Python/FastAPI Architect to join our team in developing cutting-edge Reinforcement Learning (RL) Gym project. You will be responsible for designing and building scalable APIs, enhancing backend performance, and collaborating with ML researchers to power innovative RL experiments and simulations. Main Responsibilities Design, build, and maintain FastAPI services that support experimentation workflows and RL simulation environments Collaborate closely with ML engineers to expose APIs for training, evaluation, and benchmarking Write clean, scalable, production-ready Python code with strong emphasis on maintainability Troubleshoot performance issues, optimize pipelines, and ensure smooth application deployments Requirements 3+ years of experience in Python development, including 2+ years of hands-on FastAPI work for high-performance backends 1+ year of team leadership experience mentoring teams of 5+ developers Strong ability to review code, give constructive feedback, and maintain high coding standards through PR merges Excellent ownership mindset with proven ability to identify risks early and manage end-to-end delivery Expert-level FastAPI knowledge (Flask/Django helpful but not a substitute) Strong background designing RESTful APIs, asynchronous programming, and managing full API lifecycles Solid understanding of engineering best practices including test automation, CI/CD, Git workflows, and scalable architecture patterns Familiarity with NumPy and Pandas; exposure to TensorFlow or PyTorch is a plus Bachelor's or Master's degree in Computer Science, Engineering, or related field Nice to Have Experience working with RL environments (OpenAI Gym, Gymnasium, Stable Baselines) Exposure to deep learning frameworks such as PyTorch or TensorFlow Hands-on experience with SQL or database design for data-driven applications Background in cloud technologies (AWS, GCP, Azure) and containerization (Docker, Kubernetes)


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