Job Description

We are seeking a seasoned Full Stack Developer with specialized experience in real estate and e-commerce ecosystems. You will architect, develop, and scale end-to-end solutions, including dynamic property marketplaces, secure checkout systems, and real-time inventory management. The ideal candidate is comfortable moving between responsive frontend interfaces and robust backend architectures to drive measurable business growth.

Key Responsibilities

Sector-Specific Development:

Build and maintain interactive property maps, 360 virtual tours, and dynamic filtering for real estate listings, alongside secure shopping carts and checkout flows for e-commerce.

System Architecture:

Design and optimize scalable backend architectures (RESTful or GraphQL APIs) that handle high-volume property data and multi-vendor e-commerce transactions.

Database Management:

Architect relational (PostgreSQL, MySQL) and NoSQL (MongoDB) databases for efficient property indexing and e-commerce order tracking.

Security & Compliance:

Implement advanced authentication (OAuth, JWT), ensure PCI-DSS compliance for payments, and maintain strict data protection for sensitive user and property documents.

Performance Optimization:

Monitor and tune Core Web Vitals, API latency, and database query speeds to maximize conversion rates and user retention.

Cloud & DevOps:

Containerize applications using Docker/Kubernetes and manage automated CI/CD pipelines on platforms like AWS, Azure, or Google Cloud.

Required Skills & Qualifications

Experience:

5+ years in full-stack development, with a proven track record in PropTech or e-commerce platforms.

Frontend Mastery:

Advanced proficiency in React, Next.js, or Vue.js, with expertise in responsive design and modern state management (e.g., Redux, Zustand).

Backend Expertise:

Deep knowledge of Node.js, Python (Django/FastAPI), or Java (Spring Boot).

Integration Skills:

Extensive experience integrating third-party services like payment gateways (Stripe/PayPal), Google Maps API, and real-estate MLS feeds.

Modern Toolset:

Familiarity with AI-integrated features (e.g., AI chatbots, recommendation engines) and version control via Git/GitHub.

Education:

Bachelor's degree in Computer Science, Software Engineering, or a related field.
Job Types: Full-time, Permanent, Contractual / Temporary
Contract length: 6 months

Pay: ?600,000.00 - ?1,000,000.00 per year

Benefits:

Health insurance Provident Fund
Work Location: In person