Head of Engineering

4 weeks ago

Delhi India Recro Full time

Job Description Role Description The candidate will be responsible for building world-class maps, navigation, and traffic intelligence platforms, ensuring accuracy, scalability, and low-latency performance. The role requires deep technical expertise in geospatial systems, graph-based routing engines, and real-time traffic modeling, combined with strong leadership and product vision. Key Responsibilities 1. Technology & Platform Development - Define and execute the roadmap for location search, routing, and traffic intelligence platforms. - Lead enhancement and development of graph-based routing algorithms, dynamic traffic-aware routing, multimodal transport planning, and EV-specific routing. - Drive search engine capabilities (location/place search, geocoding, POI ranking, personalization). - Enhance and manage real-time traffic ingestion, prediction, and visualization systems using AI/ML. - Ensure systems are scalable, high-performance, and cloud-native (microservices, APIs, real-time data pipelines). 2. Data & AI - Oversee ingestion and processing of multi-source data (GPS probes, IoT sensors, government feeds, crowdsourced data). - Apply machine learning and AI models for location search, traffic forecasting, route optimization, and personalized recommendations. - Ensure data quality, freshness, and accuracy in maps and traffic feeds. 3. Leadership & Collaboration - Build and mentor strong engineering and data science teams specialized in geospatial and AI systems. - Work with product leadership to ensure seamless integration of search, routing, and traffic services into MapmyIndia's B2B and B2C platforms. 4. Operational & Strategic Impact - Establish engineering best practices for the availability, reliability, and security of location platforms. - Drive IP creation in algorithms, data pipelines, and APIs. - Align technology vision with MapmyIndia's growth strategy to become the leader in location-based mobility intelligence. Strong expertise in: - Search & Routing Engines: Graph algorithms, shortest path, traffic-aware routing, multimodal routing. - Traffic Systems: Real-time ingestion, traffic modeling, prediction, and visualization. - Geospatial Data: Map data structures, geocoding, spatial databases (PostGIS, Elasticsearch, etc.). - Cloud & Data Platforms: AWS/GCP/Azure, Kafka, Spark/Flink, Kubernetes. - AI/ML for mobility: Demand prediction, ETA calculation, congestion detection, recommendation systems. - Proven success in scaling large, data-intensive, real-time systems. - Track record of building and leading cross-functional engineering teams. Leadership Competencies - Strategic thinker who can balance long-term vision with execution focus. - Deep understanding of both technology and business needs of mobility/automotive clients. - Ability to inspire, mentor, and scale technical teams. - Strong communication and stakeholder management skills. Please shortlist a few relevant profiles and share them with us.

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