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)

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