Zepto runs a rapid-delivery retail operation from dark stores, built on Go, Java and Python services over Kafka, PostgreSQL and Redis, deployed via Kubernetes on AWS EKS with Terraform and Helm. Hiring is accelerating and skews toward operations managers, matching job-post pain points around shrinkage, wastage, stock expiry and rider availability. That points to unit economics at the store level as the main pressure, not customer acquisition.
Zepto is a privately held quick-commerce company founded in 2021 and headquartered in India. It delivers groceries, fresh produce, electronics, beauty, apparel and toys to consumers within minutes from a network of dark stores in more than 50 Indian cities. The company also runs Zepto Café, a fresh food menu. Its workforce is in the 5,001–10,000 range, and hiring is concentrated in India across operations, engineering, product, marketing and sales.
Zepto uses Go, Python and Java with PostgreSQL, Kafka and Redis, runs Kubernetes on AWS EKS managed with Terraform and Helm, and monitors with Prometheus and Grafana. AppsFlyer and Mixpanel handle product analytics, and SAP and Oracle cover back-office systems.
Yes. Hiring at Zepto is accelerating and is concentrated in India. Most openings are in operations, mainly at manager level, with further roles in engineering, product, marketing, sales and support.
Current job posts mention dark store operations, dashboards that give planners better visibility, automation of planning logic, root-cause analysis of availability misses, and product initiatives driven by advertising.
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Zepto'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.
