Python Backend Engineer

We are looking for a Python Backend Engineer to join our engineering team. In this role, you will be responsible for designing, developing, and maintaining scalable backend systems that power our AI-driven SaaS platform.

You will build secure APIs, integrate with third-party services, optimize database performance, and contribute to the architecture of high-availability systems. The ideal candidate enjoys solving complex engineering challenges, writing clean and maintainable code, and working in a fast-paced, product-focused environment.

Responsibilities

• Design, develop, and maintain scalable backend services using Python.
  
• Build production-ready applications using FastAPI, Flask, or Django.
  
• Design and implement secure RESTful APIs and GraphQL APIs.
  
• Develop scalable microservices and distributed backend systems.
  
• Integrate third-party APIs including payment gateways, CRM systems, AI platforms, communication services, and external SaaS providers.
  
• Design efficient database schemas and optimize complex SQL queries.
  
• Work with PostgreSQL, MySQL, Redis, MongoDB, and other data storage technologies.
  
• Implement authentication and authorization mechanisms (JWT, OAuth2, API Keys).
  
• Write reusable, maintainable, and well-documented code following clean architecture principles.
  
• Build unit, integration, and API tests to ensure application reliability.
  
• Monitor, troubleshoot, and optimize backend performance in production environments.
  
• Collaborate closely with Frontend Engineers, DevOps Engineers, QA Engineers, Product Managers, and AI Engineers.
  
• Participate in architecture discussions, code reviews, and technical planning.
  
• Maintain high standards for security, scalability, and code quality.

Requirements

• 5+ years of professional experience in Python backend development.
  
• Strong proficiency in Python programming.
  
• Solid experience with FastAPI, Flask, or Django.
  
• Strong understanding of REST API and GraphQL design principles.
  
• Experience building scalable backend architectures.
  
• Excellent knowledge of PostgreSQL and/or MySQL.
  
• Experience with NoSQL databases such as MongoDB or Redis.
  
• Strong understanding of software architecture, OOP, SOLID Principles, and Design Patterns.
  
• Experience with Git and collaborative development workflows.
  
• Knowledge of asynchronous programming (async/await).
  
• Familiarity with Docker and containerized applications.
  
• Understanding of CI/CD pipelines.
  
• Experience writing automated tests (PyTest, Unit Testing, Integration Testing).
  
• Strong debugging and performance optimization skills.
  
• Excellent analytical, communication, and problem-solving abilities.
  

Preferred Qualifications

Experience with any of the following is a strong plus:

• AI/LLM integrations (OpenAI, Anthropic, Gemini, DeepSeek)
  
• LangChain or AI agent frameworks
  
• Celery and background task processing
  
• RabbitMQ, Kafka, or message queues
  
• WebSockets and real-time communication
  
• Elasticsearch
  
• Kubernetes
  
• AWS, Azure, or Google Cloud
  
• Nginx
  
• Linux server administration
  
• Multi-tenant SaaS architecture
  
• CRM integrations (Salesforce, Zoho, HubSpot, Odoo)