Python Developer

Key Responsibilities

• Design, develop, and maintain robust backend applications using Python.
• Build and maintain RESTful APIs and backend services.
• Develop business logic, data processing services, and third-party integrations.
• Design and implement workflow automation to reduce manual processes and improve operational efficiency.
• Integrate backend systems with internal tools, external APIs, databases, and automation platforms.
• Write clean, reusable, well-tested, and maintainable code.
• Work with relational and/or NoSQL databases and optimize database queries where required.
• Troubleshoot production issues, identify root causes, and implement reliable solutions.
• Collaborate with frontend developers to define and integrate API contracts.
• Participate in code reviews, technical discussions, testing, and deployment activities.
• Contribute to improving application performance, reliability, security, and scalability.
• Create technical documentation for APIs, workflows, and backend components.

Required Skills

• 4+ years of professional experience in Python backend development.
• Strong proficiency in Python and experience with frameworks such as FastAPI, Flask, or Django.
• Strong understanding of REST APIs, HTTP, JSON, authentication, and API integrations.
• Experience working with SQL databases such as PostgreSQL or MySQL.
• Good understanding of software development principles, data structures, and object-oriented programming.
• Experience with workflow automation, process automation, or building automated business workflows.
• Experience integrating applications with third-party APIs and services.
• Familiarity with Git and standard software development practices.
• Understanding of unit testing, debugging, and writing production-quality code.

Good to Have

• Experience with FastAPI and asynchronous Python programming.
• Experience with automation tools/platforms such as n8n, Zapier, Make, Airflow, or similar workflow automation solutions.
• Familiarity with Docker and containerized applications.
• Exposure to AWS, Azure, or GCP.
• Knowledge of Redis, Celery, message queues, or background job processing.
• Experience with CI/CD pipelines.
• Familiarity with monitoring, logging, and application performance tools.