Backend Developer

Search Engine & Geocoding

• Develop a place/address search system: autocomplete, typo-tolerant matching, ranking and relevance tuning.

• Design indexing strategies: schema, analyzers, synonyms, multi-index/alias, zero-downtime reindexing.

• Build search APIs meeting SLAs (p95/p99), optimizing caching, rate limiting and A/B mechanisms for ranking when needed.

Routing, Navigation & ETA Serving

• Build routing services and route-computation APIs: shortest path, constraints (avoid toll/ferry), multi-stop, navigation optimization for electric vehicles and options respecting turn restrictions.

• Integrate real-time traffic signals into routing/ETA: speed profiles per road segment, incident impact, dynamic rerouting.

• Master routing/graph algorithms and be able to implement and performance-tune them: Dijkstra, A*, bidirectional search; acceleration techniques such as Contraction Hierarchies (CH)/multi-level, ALT, k-shortest paths.

• Optimize algorithms over large road graphs: data structures (adjacency, priority queue), pruning/heuristics, precompute, tile/segment caching, CPU/memory optimization; design to degrade gracefully when traffic is missing or the system is overloaded.

• Design measurement and quality-control mechanisms: latency budgets, timeouts, fallbacks and p95/p99 observation against SLAs.

Real-time Traffic Platform

• Build pipelines/serving for real-time traffic: ingestion, aggregation per road segment, smoothing, freshness and confidence scoring.

• Design stream-processing and optimized storage (time-series/kv/cache) to serve extremely fast read queries.

Map Ads & Monetization

• Build a Map Advertising system: location/route targeting, frequency capping, basic budget/pacing, logging and reporting.

• Design platform-level anti-fraud mechanisms (e.g., click spam/signal spoofing), auditing/logging and traceability.

Custom Map & Custom Geofences

• Develop Custom Maps: styles/themes, layers, tile endpoints, feature flags per tenant/market.

• Build Geofences (circle/polygon): create/update, point-in-polygon queries, event triggers (enter/exit) and a simple rule engine.

• Optimize geofence queries: S2/H3/Geohash indexing, caching, batching and throughput optimization.

• 3-5 years of Backend experience; experience with high-scale/low-latency, production-grade systems preferred.

• Bachelor's degree (good grade or above) in IT, Software Engineering or related fields.

• Proficient in Java and/or Go; deep understanding of concurrency, memory, profiling and performance tuning.

• Experience designing distributed systems: microservices, API design, data modeling, caching and reliability patterns.

• Experience with search platforms (OpenSearch/Elasticsearch or equivalent): indexing, query DSL, relevance tuning and performance optimization.

• Experience with real-time/near-real-time systems: Kafka/Kinesis/PubSub; solid grasp of streaming concepts and time-based data processing.

• Ownership mindset: proactively leading, communicating cross-team, and making data-driven decisions with clear trade-offs.

Nice-to-have

• Mapping/mobility domain knowledge: road graph, map tiles, routing/ETA/traffic concepts.

• Geospatial indexing: S2/H3/Geohash; experience optimizing spatial queries (spatial join, point-in-polygon).

• Experience with large-scale caching (Redis cluster), multi-layer caching and invalidation strategies.

• Experience with Kubernetes and cloud (EKS/GKE), autoscaling, service mesh; observability infrastructure (Prometheus/Grafana, OpenTelemetry/Jaeger).

• Experience with A/B testing, feature flags and experimentation systems.

• Ad-tech backend experience: pacing, attribution, reporting pipelines.

• Experience working with big-data platforms.

Tech stack

• Languages: Java (Spring Boot), Go (Gin/Fiber/gRPC)

• Search: OpenSearch/Elasticsearch

• Streaming: Kafka/Kinesis