Design, build, and maintain scalable Python applications across backend services, APIs, and data infrastructure
Develop and optimize RESTful APIs and microservices using frameworks such as FastAPI, Django, or Flask
Build and maintain data pipelines, ETL processes, and integrations with databases (SQL and NoSQL)
Collaborate with data science and ML teams to productionize models and automate workflows
Write clean, well-tested, well-documented code and participate in thorough code reviews
Contribute to architectural decisions and technical roadmaps
Mentor junior and mid-level developers, fostering a culture of technical excellence
Identify and resolve performance bottlenecks, bugs, and reliability issues
Who You Are
5+ years of professional Python development experience
Deep understanding of Python internals, async programming, and performance optimization
Strong experience with at least one web framework (FastAPI, Django, or Flask)
Hands-on experience with data tools such as Pandas, NumPy, SQLAlchemy, or Airflow
Familiarity with ML/AI libraries (scikit-learn, PyTorch, or TensorFlow)
Experience with AWS and containerization (Docker, Kubernetes)
Proficiency with CI/CD pipelines, Git workflows, and testing frameworks (pytest)
Strong grasp of software design patterns, SOLID principles, and clean architecture
Excellent communication and collaboration skills
Awesome to Have
Experience with DevOps tooling and infrastructure-as-code (Terraform, Ansible)
Background in distributed systems or event-driven architecture (Kafka, RabbitMQ)
Contributions to open-source Python projects
#J-18808-Ljbffr