Software Engineer | Map
Quick Summary
Our Journey So Far At Snapp, we’re redefining how cities move. Our ride-hailing and mobility platform connects millions of riders and drivers every day, delivering safe, reliable, and efficient transport solutions.
At Snapp, we’re redefining how cities move. Our ride-hailing and mobility platform connects millions of riders and drivers every day, delivering safe, reliable, and efficient transport solutions. Powered by real-time data and robust infrastructure, we make urban travel faster, simpler, and more sustainable.
We operate with the mindset of a global tech leader and the agility of a startup, building services that scale across markets while staying responsive to local needs.

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.
Help us shape the future of ride-hailing and urban mobility. Submit your CV and let’s build smarter cities together.
Location & Eligibility
Listing Details
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- May 6, 2026
Signal breakdown
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