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)