Nisum is a 2,000+ person digital services firm built around cloud-native platform migrations and AI-powered eCommerce solutions for Fortune 500 clients. Their tech stack is heavily weighted toward Azure (11 services) with React/Node.js frontend layers, and they're actively migrating from AWS to Azure while adopting GCP and OCI—a multi-cloud posture driven by client requirements. The hiring surge (32 roles posted in 30 days, 24 at senior level) is concentrated in engineering, reflecting execution pressure on microservices refactors, Kubernetes platform support, and legacy-to-modern migrations using the strangler fig pattern.
Notable leadership hires: Technical Lead
Nisum is a privately held digital transformation consultancy founded in 2000, headquartered in Brea, CA, with 1,001–5,000 employees across the United States, India, Chile, and Peru. They serve retail, finance, healthcare, sports, and entertainment sectors, with stated 90% year-over-year client retention. Core offerings span custom software development, eCommerce platforms, order management systems (OMS), warehouse management systems (WMS), and omnichannel commerce solutions. They maintain strategic partnerships with AWS, Databricks, Google, Salesforce, Snowflake, and Microsoft. Their service model emphasizes white-glove delivery with senior-led teams and agile execution against complex digital migrations and AI integration projects.
Azure infrastructure (11 services including AKS, VMs, Load Balancer), React/TypeScript/Node.js frontend, GraphQL APIs, Kubernetes, Terraform for IaC, Azure DevOps, Jest/Cypress for testing. Actively adopting GCP and OCI; migrating from AWS.
Microservices architecture refactors, cloud-native migrations, Kubernetes platform support, microfrontend web solutions, strangler fig pattern legacy migrations, SRE reliability improvements, and standardized cloud landing zone implementations.
Nisum'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.