About the Role
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.
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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)
