About Smart Bricks
Smart Bricks is a Dubai-based proptech company building data-driven real estate intelligence products. We work at the intersection of real estate, analytics, and scalable software, helping users make smarter property decisions through powerful search and valuation systems.
We’re looking for a Backend Engineer who enjoys building fast, scalable APIs and loves solving real-world performance + debugging challenges.
Roles and Responsibilities
- Design, build, and maintain high-performance backend services and APIs using Python + FastAPI
- Develop scalable systems that power Search, Data pipelines, integrating with ML models, and analytics workflows
- Write efficient queries and manage relational data using PostgreSQL
- Implement caching, async processing, and optimized API patterns for low latency
- Improve API reliability, scalability, and maintainability through best practices and clean architecture
- Debug production issues quickly and confidently (logs, tracing, profiling, root cause analysis)
- Collaborate closely with product + data teams to ship features end-to-end
- Build tooling and developer-friendly systems (internal APIs, admin panels, automation utilities)
- Work closely with Product on feature estimation, planning
- Write robust unit
Required Skills & Experience
- 8+ Years of backend development in any of technologies (Python, Java, Go )
- Strong experience with Python backend development (asyncio, background jobs, queues) is preferred.
- Hands-on expertise with FastAPI (or similar frameworks like Flask/Django + willingness to adapt) is preferred.
- Solid experience with PostgreSQL and SQL optimization
- Experience integrating search systems like Algolia (or Elasticsearch/OpenSearch)
- Strong debugging skills: ability to diagnose tricky performance issues and production failures
- Experience building scalable API systems with performance in mind (rate limiting, pagination, async, caching, batching, etc.)
- Familiarity with system design fundamentals (scalability, concurrency, reliability)
- Comfortable working in a fast-moving startup environment
- Excellent communication skills
Nice-to-Have Skills
- Knowledge of Docker, CI/CD, cloud deployment (AWS/GCP/Azure)
- Familiarity with monitoring tools (Sentry, Prometheus, Grafana, Datadog)
- Experience in proptech, fintech, or data-heavy platforms
- Understanding of ranking/scoring systems, relevance tuning, or search optimization
- Exposure to LLM-powered tooling and workflows
Engineering Culture Fit (Important)
We love engineers who:
- are obsessed with clean, readable, scalable code
- treat debugging like a superpower
- think in terms of latency + throughput
- enjoy using tools like Cursor / Copilot / AI-assisted dev workflows
