We are looking for a <\/span>Python Backend Engineer<\/span><\/b> 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.<\/span>
<\/p>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.<\/span>
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Responsibilities<\/span>
<\/div>- Design, develop, and maintain scalable backend services using <\/span>Python<\/span><\/b>.<\/span>
<\/li>- Build production\-ready applications using <\/span>FastAPI<\/span><\/b>, <\/span>Flask<\/span><\/b>, or <\/span>Django<\/span><\/b>.<\/span>
<\/li>- Design and implement secure <\/span>RESTful APIs<\/span><\/b> and <\/span>GraphQL APIs<\/span><\/b>.<\/span>
<\/li>- Develop scalable microservices and distributed backend systems.<\/span>
<\/li>- Integrate third\-party APIs including payment gateways, CRM systems, AI platforms, communication services, and external SaaS providers.<\/span>
<\/li>- Design efficient database schemas and optimize complex SQL queries.<\/span>
<\/li>- Work with PostgreSQL, MySQL, Redis, MongoDB, and other data storage technologies.<\/span>
<\/li>- Implement authentication and authorization mechanisms (JWT, OAuth2, API Keys).<\/span>
<\/li>- Write reusable, maintainable, and well\-documented code following clean architecture principles.<\/span>
<\/li>- Build unit, integration, and API tests to ensure application reliability.<\/span>
<\/li>- Monitor, troubleshoot, and optimize backend performance in production environments.<\/span>
<\/li>- Collaborate closely with Frontend Engineers, DevOps Engineers, QA Engineers, Product Managers, and AI Engineers.<\/span>
<\/li>- Participate in architecture discussions, code reviews, and technical planning.<\/span>
<\/li>- Maintain high standards for security, scalability, and code quality.<\/span>
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Requirements<\/h3>- 5+ years of professional experience in Python backend development.<\/span>
<\/li>- Strong proficiency in Python programming.<\/span>
<\/li>- Solid experience with <\/span>FastAPI<\/span><\/b>, <\/span>Flask<\/span><\/b>, or <\/span>Django<\/span><\/b>.<\/span>
<\/li>- Strong understanding of REST API and GraphQL design principles.<\/span>
<\/li>- Experience building scalable backend architectures.<\/span>
<\/li>- Excellent knowledge of PostgreSQL and/or MySQL.<\/span>
<\/li>- Experience with NoSQL databases such as MongoDB or Redis.<\/span>
<\/li>- Strong understanding of software architecture, OOP, SOLID Principles, and Design Patterns.<\/span>
<\/li>- Experience with Git and collaborative development workflows.<\/span>
<\/li>- Knowledge of asynchronous programming (async/await).<\/span>
<\/li>- Familiarity with Docker and containerized applications.<\/span>
<\/li>- Understanding of CI/CD pipelines.<\/span>
<\/li>- Experience writing automated tests (PyTest, Unit Testing, Integration Testing).<\/span>
<\/li>- Strong debugging and performance optimization skills.<\/span>
<\/li>- Excellent analytical, communication, and problem\-solving abilities.<\/span>
<\/li><\/ul>Preferred Qualifications<\/span>
<\/h1>Experience with any of the following is a strong plus:<\/span>
<\/p>- AI/LLM integrations (OpenAI, Anthropic, Gemini, DeepSeek)<\/span>
<\/li>- LangChain or AI agent frameworks<\/span>
<\/li>- Celery and background task processing<\/span>
<\/li>- RabbitMQ, Kafka, or message queues<\/span>
<\/li>- WebSockets and real\-time communication<\/span>
<\/li>- Elasticsearch<\/span>
<\/li>- Kubernetes<\/span>
<\/li>- AWS, Azure, or Google Cloud<\/span>
<\/li>- Nginx<\/span>
<\/li>- Linux server administration<\/span>
<\/li>- Multi\-tenant SaaS architecture<\/span>
<\/li>- CRM integrations (Salesforce, Zoho, HubSpot, Odoo)<\/span>
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