All work

Multi-tenant real estate SaaS · 2026

Propwise

Senior Full-Stack Developer

Tenant isolation enforced by the database itself, search ~8× faster, and listings synced to three property portals from one place.

No screens shown: the product is private.

// request path
  1. Tenant request
  2. RBAC guard
  3. RLS policy
  4. Search index
  5. < 100 ms

The problem

A multi-tenant real estate platform needed strict data separation between agencies, fast bilingual search, reliable background work and one place to publish to the main UAE property portals.

What I did

  • Enforced tenant isolation with PostgreSQL Row-Level Security, so a missing filter in application code can never leak data across tenants.
  • Built the async foundation on a Postgres-native job queue (pg-boss): concurrency, deduplication, retries with backoff and reconciliation sweepers so no job is silently dropped.
  • Replaced a slow multi-table ILIKE search with a denormalized index and async indexer, plus full-text/trigram routing over GIN indexes and Arabic/mixed-script normalization.
  • Designed two-layer RBAC (endpoint guards + per-record flags) with a 5-minute permission cache and instant invalidation.
  • Built tamper-resistant audit logging: triggers on 35 tables record every change with before/after values, user, session and IP.
  • Built syndication to Property Finder, Bayut and dubizzle with a 9-state sync state machine, plus automated lead capture and a lead-distribution and escalation engine.

The result

  • Median search ~800 ms → under 100 ms
  • ~70% fewer authorization lookups
  • Customer data separated by design
  • Listings on 3 portals from one place

Technology

  • PostgreSQL
  • Row-Level Security
  • pg-boss
  • GIN / trigram indexes
  • TypeScript
  • Node.js
  • React
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Mohammad Kabalan · Senior Software Engineer · Dubai, UAE

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