eCommerce implementation and integration services for enterprise retail platforms
KogniVera is an India-based implementation partner focused on Salesforce Commerce Cloud, MuleSoft, and adjacent eCommerce platforms for enterprise retailers. The tech stack spans orchestration (MuleSoft, Anypoint), order management (IBM Sterling, Manhattan), product information (Akeneo, inRiver), and modern frontend frameworks (React, Next.js, Angular). Notably, the company is adopting .NET and NET Core while phasing out .NET Framework—a shift toward cloud-native patterns. Hiring is accelerating with 27 engineering roles posted, heavily senior-weighted (22 senior vs. 4 junior), and concentrated in India, Mexico, and Peru, suggesting delivery-center scaling rather than product development.
Notable leadership hires: React Tech Lead
KogniVera delivers eCommerce platform implementation, integration, and digital transformation services to mid-market and enterprise retailers, financial services, insurance, and healthcare companies. The company operates across the full stack: platform selection and architecture design, custom development on Salesforce Commerce Cloud and MuleSoft, order and product-information management integrations, and ongoing optimization and support. Core pain points center on performance tuning and complex multi-system integration (omnichannel retail, third-party marketplace scaling, cloud deployment architecture). With 201–500 employees headquartered in Bangalore, the firm operates as a services delivery organization rather than a product company.
Salesforce Commerce Cloud, Adobe Commerce, Shopify, Manhattan, Fluent Commerce, and IBM Sterling Order Management System, typically in multi-site, multi-locale, multi-currency configurations with MuleSoft integration.
MuleSoft + Anypoint Platform for integration; Salesforce Commerce Cloud, Adobe Commerce, Shopify for eCommerce; React, Next.js, Angular, Vue for frontend; Java, Spring Boot, Node.js, TypeScript for backend; AWS, Azure, GCP for cloud; Informatica, Akeneo, inRiver for product data.
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