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)