Tokma Technologies is looking for an experienced Ride-Sharing Platform Architect & Technical Consultant to review, enhance, and optimize our existing ride-sharing platform.

The platform is already developed, so the focus of this role is not rebuilding from scratch, but improving its architecture, real-time ride operations, scalability, reliability, performance, navigation, dispatching, and overall rider/driver experience.

Key Responsibilities

• Review the existing ride-sharing architecture, backend services, mobile apps, APIs, and infrastructure.
• Identify technical gaps, bottlenecks, scalability issues, and areas for improvement.
• Improve the full ride lifecycle: request, driver matching, acceptance, pickup, trip, completion, cancellation, and status synchronization.
• Optimize real-time GPS tracking, driver/rider location updates, ETA accuracy, routing, and route recalculation.
• Review and improve driver dispatching and rider-driver matching logic.
• Improve real-time communication using WebSockets, SignalR, Firebase, or similar technologies.
• Review map/navigation integrations such as Google Maps, Mapbox, or HERE.
• Improve handling of GPS loss, poor connectivity, delayed updates, app backgrounding, driver disconnections, and duplicate requests.
• Recommend improvements for backend scalability, caching, queues, databases, APIs, and event-driven architecture.
• Review ride pricing, distance/time calculation, waiting time, cancellation fees, and dynamic pricing where applicable.
• Advise on scheduled rides, multi-stop rides, driver availability, nearby-driver discovery, and geofencing.
• Work closely with backend, mobile, DevOps, QA, and product teams.
• Provide architecture recommendations, technical documentation, and a prioritized improvement roadmap.

Required Experience

• Strong experience with ride-sharing, ride-hailing, mobility, logistics, fleet, delivery, or other real-time location-based platforms.
• Strong knowledge of distributed and real-time systems.
• Experience with GPS, geolocation, routing, navigation, geofencing, and background location tracking.
• Experience with dispatching, driver matching, real-time status updates, and WebSocket-based systems.
• Strong understanding of scalable APIs, databases, caching, queues, cloud infrastructure, and event-driven systems.
• Experience with Google Maps, Mapbox, HERE, or similar mapping platforms.
• Ability to improve an existing production system without unnecessarily replacing working components.

Preferred Experience

Experience with any of the following is highly preferred

• Uber/Lyft-style ride-hailing systems
• Real-time dispatch and matching algorithms
• Dynamic pricing
• Scheduled and multi-stop rides
• Driver heatmaps and demand forecasting
• Fleet management
• Experience with NEMT / healthcare transportation Would be good to have
• AWS, Azure, or Google Cloud
• .NET backend systems
• Flutter mobile applications

Engagement Goal

The goal is to help us evolve its existing ride platform into a more stable, scalable, accurate, efficient, and production-ready ride-sharing system through architectural review, technical consultation, and hands-on guidance to the engineering team.

How To Apply ?

Interested candidates or consultants can send their CV/Resume, relevant experience, and portfolio or project references to [email protected]. Please mention “Ride-Sharing Platform Architect & Technical Consultant” in the email subject line.