India's largest e-commerce platform operating 350M+ customers and ultra-fast delivery
Flipkart operates India's dominant e-commerce infrastructure—350M+ customers, 150M+ SKUs across 80+ categories—built on a polyglot stack (Java, Scala, Clojure, Python, Spark) paired with heavy BI/analytics tooling (Tableau, Power BI, QlikView). Current project velocity is supply-chain heavy: warehouse automation, sortation centers, delivery network optimization, and inventory forecasting systems dominate the roadmap, while hiring skews 47% engineering and 29% senior/staff roles—indicating infrastructure scaling and technical depth as near-term priorities.
Notable leadership hires: Operations Director
Flipkart is India's largest e-commerce marketplace, operating a customer base exceeding 350 million with coverage across 150M+ products in 80+ categories. The company manages vertically integrated operations spanning sourcing, warehousing, sortation, delivery, and payments. Walmart has owned Flipkart since 2018. The organization operates primarily from Bangalore and focuses on supply-chain innovation, category expansion (including emerging verticals like adtech and fast commerce), and inclusive commerce through vernacular interfaces and cash-on-delivery payment methods. Current operational priorities center on scaling logistics speed, warehouse automation, and inventory accuracy across a network spanning India.
Flipkart's backend runs Java, Scala, Clojure, Python, and C/C++. Data processing uses Apache Spark and SAS. Analytics platforms include Tableau, Power BI, QlikView, and Data Studio. Frontend spans React, Angular, and JavaScript/HTML5. Databases include MongoDB, DynamoDB, and Elasticsearch.
Flipkart is headquartered in Bangalore, Karnataka, India. All current hiring is concentrated in India.
Flipkart's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.