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 Skill

• 4-8 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 Hav

• eExperience 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

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