Kalidas Kanniappan architects web platforms, event-driven services, and AI-native engineering systems at Fortune-500 scale—so product teams can move independently without losing coherence.
I'm a Lead Software Engineer with 15+ years architecting and shipping cloud-native systems at Fortune-500 scale. At Nike, I drive Microfrontend architecture with Module Federation, build complex React SPA + SSR / Next.js monorepo applications, and power them with Java Spring WebFlux microservices on AWS Lambda, Step Functions, DynamoDB, and S3. I own the Web Experimentation platform built on Adobe Experimentation APIs. I'm an early adopter of AI-driven development — production workflows built around Claude Code, Cursor, MCP servers, custom Skills, RAG-backed memory, and Spec-Driven Development with OpenSpec — using AI to accelerate delivery while raising the bar on code quality, observability, and contract discipline.
Selected architecture work across web platforms, streaming data, API ecosystems, and agentic developer experience. The common outcome: more autonomy with fewer accidental seams.
Architected Nike's Shell Application — a unified React + Next.js host in a monorepo providing the runtime shell, shared design system, auth, telemetry, and routing for dozens of product surfaces across nike.com. Built Microfrontend platform using Module Federation and the Experimentation runtime integrated with Adobe APIs.
Built Java backend APIs and React dashboards powering Customer Experience analytics at Walmart's Data Ventures domain. Designed event-driven architectures using Kafka, CQRS, Event Sourcing, and Saga patterns. Built Looker dashboards on curated data marts with LookML models.
Pioneered production-grade AI-native workflows at Nike — building MCP servers exposing internal tooling, authoring reusable Skills encoding engineering standards, and establishing team-wide agentic development practices with Claude Code and Cursor IDE.
Designed and implemented robust API platforms across multiple paradigms: HTTP REST + OpenAPI 3 for external contracts, GraphQL at the edge, tRPC for type-safe internal calls, and gRPC for low-latency service-to-service communication. Established API governance patterns across dozens of consuming squads.
Architected and implemented micro-frontend solutions using Module Federation, enabling product teams to run A/B and multivariate experiments as independently-deployable React remotes without coupling to the shell's release cycle.
Designed and developed multi-tenant support applications using Java Spring Framework, JPA-Hibernate, and IBMMQ for FIS Global. Worked with System Engineers on requirement reviews, creating sequence and flow diagrams for enterprise banking systems.
Full-stack range is useful only when it sharpens architecture decisions. The center of gravity is platform engineering: contracts, boundaries, delivery systems, and the teams around them.
Production agentic workflows built around Claude Code, Cursor, MCP servers, and Spec-Driven Development — shipping at enterprise scale with AI as a first-class engineering partner.
Fifteen years of widening scope—from applications and services to the architecture, standards, and AI-enabled workflows behind entire product ecosystems.
Architecting and scaling Nike's Web Platform — driving Microfrontend architecture with Module Federation, building AI-native engineering workflows with Claude Code and MCP, and owning the Experimentation platform that validates product ideas with live traffic across nike.com.
Platform architecture, AI-native engineering, or a difficult scaling boundary—I’m always interested in a thoughtful technical conversation.
kalidas.k21@gmail.com