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. 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.

Your Impact
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.

What You’ll Drive Forward

• 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.

What Powers Your Drive

• 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.

Ready to Get on Board?

Help us shape the future of ride-hailing and urban mobility. Submit your CV and let’s build smarter cities together.