Python Backend Developer

Role Overview

We are seeking a skilled Python backend developer with strong expertise in backend application development to join our team. The role involves managing development of FastAPI based applications to run large data modeling, and leveraging the Databricks platform. The ideal candidate will have a robust background in backend development, Data science model basics, and cloud-based solutions to drive data-driven decision-making and innovation within our portfolio.

Responsibilities

• Design, develop, and maintain scalable backend services and RESTful APIs using Python and FastAPI.
• Build and integrate APIs that expose statistical models, analytical services, and machine learning solutions to front end and external systems.
• Collaborate with data scientists and business stakeholders to operationalize computational and statistical models in production environment.
• Integrate backend services with Azure cloud components, including Azure Data Lake Storage, Databricks Delta Lake, and Azure DevOps.
• Design and implement secure authentication and authorization, and API security mechanism.
• Develop reusable, modular, and maintainable code following software engineering best practices and coding standard.
• Optimize application performance, scalability, and reliability for high-volume data processing workloads.
• Implement automated testing, including unit test cases using pytest.
• Collaborate with front end developers to support seamless integration between React - based user interfaces and backend services.
• Develop and maintain CI/CD pipelines to automate application deployment and release processes.
• Work with ML flow and MLOps frameworks to support model deployment, versioning, monitoring, and life cycle management.
• Participate in code reviews, technical design discussions, and architecture planning activities.
• Create and maintain technical documentation, API specifications, and operational runbook.

Requirements

Key skills include: Python, FastAPI Framework, REST API design, Pydantic models, Async programming, Modular implementation, Authentication & Autherization, Error handling & Logging, Documentation, Azure DevOps, Git versioning, Agile delivery, Scrum, Azure cloud, Databricks, Delta Lake.