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.

• 
  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)