Python API Developer

Role Overview

We are seeking a talented and motivated Python API Developer to join our engineering team. The ideal candidate will have hands-on experience building scalable backend applications and RESTful APIs using modern Python frameworks. You will work closely with cross-functional teams to develop high-performance services that power data-driven and enterprise-grade applications.

Key Responsibilities

• Design, develop, and maintain scalable, secure, and high-performance RESTful APIs using Python.
  

• Build backend services using frameworks such as FastAPI, Flask, or Django REST Framework.
  

• Collaborate with frontend developers, data scientists, and DevOps teams to integrate APIs and services.
  

• Write clean, maintainable, and testable code following software engineering best practices.
  

• Conduct unit testing, code reviews, and troubleshooting to ensure code quality.
  

• Optimize application performance, scalability, and reliability.
  

• Develop and manage integrations with third-party services and external APIs.
  

• Work with SQL and NoSQL databases to design efficient data storage solutions.
  

• Document APIs and technical specifications using Swagger/OpenAPI standards.
  

• Participate in Agile development processes, sprint planning, and technical discussions.
  

Required Skills

• Strong proficiency in Python programming.
  

• Hands-on experience developing RESTful APIs.
  

• Expertise with FastAPI, Flask, or Django REST Framework.
  

• Experience with relational databases such as PostgreSQL or MySQL.
  

• Knowledge of NoSQL databases such as MongoDB.
  

• Familiarity with Git and version control best practices.
  

• Understanding of software architecture and design principles.
  

• Experience implementing API security mechanisms such as JWT and OAuth.
  

• Basic knowledge of Docker and containerized deployments.
  

• Understanding of asynchronous programming concepts.
  

Preferred Qualifications

• Experience working on AI/ML-powered applications or data-centric platforms.
  

• Exposure to cloud platforms such as AWS, Azure, or GCP.
  

• Knowledge of CI/CD pipelines and DevOps practices.
  

• Familiarity with messaging and event-streaming platforms such as Kafka or RabbitMQ.
  

• Experience in microservices-based architectures.