Our client, a leading provider of sales and marketing SaaS solutions for the residential property management industry, offers a suite of products designed to optimize front-office operations. Their platform includes CRM, analytics, tour support, and other key functionalities to enhance efficiency.

Key initiatives within the team include enhancing and improving the existing framework by developing new features, refining existing code, upgrading technology dependencies, and implementing critical backend services. The team primarily works with Python & Node.js on the backend and React & TypeScript on the frontend.

We are now looking for a Python Backend Engineer with a strong background in building and maintaining APIs using modern web frameworks like FastAPI, Flask, or Django. The ideal candidate will have experience in developing scalable backend systems, optimizing API performance, working with databases, and integrating the AI agents in the platform.

• Develop, maintain, and optimize backend services and APIs.

• Design and implement scalable and efficient data models and database interactions.

• Collaborate with frontend engineers, product managers, and other stakeholders to deliver high-quality software solutions.

• Write clean, maintainable, and well-documented code following best practices;

• Follow industry best practices in quality management - automated testing, code review, error monitoring;

• Ensure API security, performance, and reliability.

• Participate in code reviews, architectural discussions, and team meetings.

• Take part in the deployment processes, monitoring production issues, and resolving incidents.

• 4+ YOE in backend development.

• Proficiency in Python and experience with one or more web frameworks (FastAPI, Flask, or Django).

• Strong expertise in building RESTful and/or GraphQL APIs.

• Solid understanding of database systems.

• Experience with unit testing, debugging, and performance optimization.

• Familiarity with Docker, cloud services (AWS, GCP, Azure), and CI/CD pipelines.

• Knowledge of API security best practices (e.g., authentication, authorization, rate limiting).

• Great communication skills in English.

• Experience working with LLMs, AI agents, or RAG applications.

• Familiarity with asynchronous programming (e.g., AsyncIO).

• Exposure to message brokers (e.g., RabbitMQ, Kafka) and event-driven architectures.