Qualifications & Requirements:

• 5+ years of experience in full-stack development, preferably for large-scale platforms.
• Expertise in backend development (Node.js, Python, Ruby on Rails, Java, or equivalent).
• Strong front-end skills with React, Vue.js, or Angular.
• Experience working with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Firebase).
• Experience with cloud infrastructure (AWS, GCP, or Azure).
• Strong understanding of geospatial data, mapping APIs, and real estate data structures.
• Familiarity with AI/ML concepts, especially for property price prediction and image recognition.
• Experience with DevOps, CI/CD, and containerization (Docker, Kubernetes).
• Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications:

• Previous experience developing real estate or property listing platforms.
• Knowledge of MLS integrations and real estate APIs.
• Experience with serverless architectures and microservices.
• Passion for real estate technology and innovation.

Job Responsibilities:

Backend Development:

• Design and develop a scalable backend using technologies such as Node.js, Python, Ruby on Rails, or Java.
• Build and maintain a robust database architecture (PostgreSQL, MySQL, MongoDB, or Firebase) to handle millions of property listings.
• Develop APIs and microservices to integrate with external data sources (MLS, public records, user-generated content).
• Implement secure authentication and authorization mechanisms (OAuth, JWT, or similar).

Frontend Development:

• Create a user-friendly, responsive UI using React, Vue.js, or Angular.
• Optimize the front end for performance, ensuring fast search and filtering.
• Implement interactive maps (Google Maps API, Mapbox, or OpenStreetMap) for location-based property search.

Data Engineering & AI/ML Integration:

• Develop automated valuation models (AVM) using machine learning (TensorFlow, PyTorch, Scikit-learn).
• Work with geospatial data and GIS systems for advanced property search capabilities.
• Implement image recognition models for property photo classification and enhancement.

Scalability & Security:

• Design and maintain a highly scalable cloud infrastructure (AWS, Google Cloud, or Azure).
• Ensure data security and compliance with regulations like GDPR, CCPA, and real estate data policies.
• Optimize system performance to handle high traffic loads and concurrent users.

DevOps & Deployment:

• Set up CI/CD pipelines for smooth deployment and integration.
• Monitor application performance, troubleshoot issues, and improve system reliability.
• Maintain documentation and best practices for future scalability.

Why Join Us?

• Work on a cutting-edge real estate platform with massive growth potential.
• Competitive salary and benefits package.
• Flexible remote work environment.
• Opportunity to shape the future of real estate technology.

Source : merojob

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