Online travel marketplace connecting millions across flights, hotels, buses, and trains
MakeMyTrip operates India's largest diversified travel platform via three brands (MakeMyTrip, Goibibo, Redbus), serving flights, hotels, buses, trains, and holiday packages to millions of users. The tech stack reveals a dual-layer architecture: React/Redux frontend with Java/Jakarta EE backend services, paired with serious data infrastructure (Spark, Flink, Cassandra, Elasticsearch) to handle streaming personalization and supply-side analytics. The hiring mix—sales-heavy (32 roles) with strong engineering (29) and data (24)—and active projects on NLP-driven recommendations, A/B measurement platforms, and feature stores signal aggressive investment in ML-powered personalization and supply-chain optimization as core differentiators.
Notable leadership hires: Technology Director
MakeMyTrip is a public online travel agency headquartered in Gurgaon, India, with 1,001–5,000 employees. The company pioneered India's online travel market, launching in 2005 and listing on NASDAQ in 2010. Today it operates three brands offering domestic and international flights, hotels, holiday packages, bus and train bookings, and corporate travel solutions across India and the Gulf region. Operations span 60+ physical stores alongside digital channels, supporting millions of annual bookings. Competitive pressures around pricing and supply volatility—particularly hotel availability and bus operator occupancy—shape current product roadmap priorities.
Frontend: React, Redux, TypeScript, React Native. Backend: Java, Jakarta EE, REST APIs. Data: Apache Spark, Spark Structured Streaming, Flink, Cassandra, MongoDB, MySQL, Elasticsearch. Infrastructure: AWS, Azure, GCP. DevOps: Linux, Git, Zabbix, Grafana.
Active projects include NLP/NER pipelines for recommendations, custom reward-scoring models for training, A/B measurement platforms, hotel portfolio expansion, feature stores, and streaming data pipelines for personalization—indicating heavy ML investment in supply matching and user experience optimization.
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