Nykaa operates a dual-channel beauty and fashion retail business—online marketplace plus 150+ physical stores—with a tech stack centered on AWS, MySQL, MongoDB, and Cassandra. Active hiring (9 roles in 30 days, accelerating) skews product and engineering, paired with projects around ads infrastructure, campaign management, and personalization. Pain points cluster around ad attribution, test coverage, and using data for retention—typical scaling friction for a maturing e-commerce platform moving beyond transactional optimization.
Nykaa is an India-based e-commerce and retail company founded in 2012, operating as a public company with 1,001–5,000 employees. The business spans online marketplaces (Nykaa, Nykaa Fashion, Nykaa Man, Superstore) and offline presence across 150+ retail locations, primarily in India. The tech organization is building infrastructure for performance marketing (ads platform, campaign management, measurement), customer engagement (CRM, push notifications, personalization), and analytics (forecasting, predictive roadmap inputs). The stack reflects mature e-commerce operations: relational and NoSQL databases (MySQL, MongoDB, Cassandra) on AWS, testing infrastructure (Selenium, Appium, BrowserStack), and marketing automation tools (Google Ads, Meta Ads Manager, AppsFlyer, Branch).
Core: AWS, MySQL, MongoDB, Cassandra, Amazon RDS. Testing: Selenium, Appium, BrowserStack, JMeter. Marketing: Google Ads, Meta Ads Manager, AppsFlyer, Branch, Google Analytics. Design: Figma, Sketch, Adobe Creative Suite (Photoshop, Illustrator, InDesign).
Core projects include ads platform infrastructure, campaign management tooling, measurement frameworks, personalization engines, CRM systems, and predictive analytics for forecasting and roadmap planning. Also developing measurement and attribution solutions for performance marketing.
Nykaa'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.