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Senior Backend Engineer – High‑Traffic Real Estate Platform

Property Finder · Dubai

Senior 🇬🇧 English
TypeScript (Node.js) Go MySQL PostgreSQL Redis OpenSearch Elasticsearch AWS Kafka SQS Lambda@Edge CloudFront SEO

Job description

About the role

Property Finder is seeking a senior backend engineer to own and evolve the services that power its high‑traffic consumer surfaces such as search, property listings and location content across multiple countries and languages.

Key responsibilities

  • Design, build and operate backend services powering high‑traffic consumer surfaces such as search and property listings.
  • Own the full lifecycle from design through deployment, observability and iterative improvement.
  • Develop new services in TypeScript (Node.js) and maintain existing Go services.
  • Work on caching, CDN behaviour, content delivery and rendering paths to optimise cost and performance.
  • Support multi‑country and multi‑language localisation from day one.
  • Collaborate with product, SEO, data and front‑end teams to deliver maintainable systems.
  • Drive operational excellence through monitoring, alerting and incident response.
  • Mentor engineers, review designs and PRs, and shape backend standards.

Required profile

  • 5+ years of backend engineering experience on high‑traffic, consumer‑facing platforms.
  • Strong expertise in TypeScript (Node.js); ability to work with Go.
  • Hands‑on experience with relational databases (MySQL/PostgreSQL), caching (Redis) and search engines (OpenSearch/Elasticsearch).
  • Production experience on AWS with containerised workloads and deep observability knowledge.
  • Proven ability to design distributed services, API boundaries and versioning.
  • Experience with event‑driven architectures (Kafka, SQS) and edge computing (Lambda@Edge, CloudFront).

Required skills

  • TypeScript (Node.js)
  • Go
  • MySQL / PostgreSQL
  • Redis
  • OpenSearch / Elasticsearch
  • AWS (EC2, ECS/EKS, Lambda, CloudFront)
  • Docker / container orchestration
  • Observability tools (metrics, structured logging, distributed tracing, SLOs)
  • Kafka or SQS
  • Lambda@Edge, CloudFront
  • SEO best practices
  • AI/LLM integration (AWS Bedrock)

Questions fréquentes

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Source : ats:teamtailor

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Published 1 week ago

Expires 1 month from now

18 views · 0 interested

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Property Finder

Dubai