Senior Software Engineer Team Lead
2 days ago
Experience
: 12–18 years of experience in technology/product leadership, with at least 7+ years in geospatial, navigation, or mobility platforms.
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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