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Software Engineer | Map

Snapp

TehranOn-site6mo ago
Employment
Fulltime Permanent

About the role

As a Software Engineer in Snapp’s Maps Team, you will build the core services behind search, Pin Fixing, and location intelligence across the pre-ride and ride lifecycle. Your work will directly affect how users search for places, choose pickup points, get ride recommendations, and experience fast, accurate, and reliable location-based features at scale. 

This role is ideal for engineers who enjoy building backend systems that combine engineering and data science in high-traffic production environments.

  • Build and maintain scalable backend services (mainly in Go) that power map search, pin fixing, ride recommendation, and location-based flows.

  • Design APIs and data pipelines that support our map and location services

  • Improve performance, reliability, and accuracy of location-driven features under high concurrency and traffic.

  • Collaborate with product, data science, and mobile teams to integrate behavioral signals, geospatial logic, and experimentation (A/B tests).

  • Analyze system metrics, logs, and user behavior to diagnose issues and continuously improve search and pre-ride funnel quality.

  • Contribute to system design, architecture decisions, observability, and operational excellence of mission-critical services.

  • Strong proficiency in Go (Golang) for building production-grade backend services.

  • Solid software engineering fundamentals: data structures, algorithms, API design, debugging, and clean code practices.

  • Experience with distributed systems or microservices in high-traffic environments.

  • Familiarity with search or retrieval systems (e.g., Elasticsearch) or a strong interest in learning them.

  • Experience with databases (SQL/NoSQL), caching layers, and performance optimization.

  • Understanding of system scalability, latency, observability, and reliability principles.

  • Familiarity with Docker, containers, and Kubernetes (or willingness to learn).

  • Bonus: exposure to geospatial data, location-based services, recommendation systems, or location-based services.

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