Staff, Software Engineer - Full Stack

Walmart Walmart · Retail · Bentonville, AR

Staff-level Full Stack Developer role at Walmart, focusing on building and enhancing merchant experiences. The role involves developing scalable platform capabilities, including AI/ML frameworks, and building AI-driven applications. Requires strong expertise in full-stack technologies (React.js, TypeScript, Java, Spring Boot) and experience with ML Platforms, ML Ops, and GenAI.

What you'd actually do

  1. Deliver scalable platform capabilities across infrastructure, tooling, developer experience, and AI/ML frameworks.
  2. Lead full SDLC: design, coding, testing, CI/CD deployment, monitoring, and maintenance.
  3. Architect cloud‑native, resilient systems using microservices and containerization.
  4. Build AI‑driven applications with integrated ML components.
  5. Conduct design reviews and ensure architectural alignment.

Skills

Required

  • React.js
  • TypeScript
  • JavaScript
  • Webpack 5 Module Federation
  • Redux
  • Java
  • J2EE
  • APIs
  • Spring Boot
  • Microservices
  • RESTful web services
  • Spring Kafka
  • Cloud Native Architecture
  • Service Registry
  • ELK / Splunk
  • Docker
  • Kubernetes
  • SQL
  • NoSQL
  • ML Platform
  • ML Ops
  • GenAi
  • Azure/Google Cloud Platforms

Nice to have

  • PostCSS
  • CSS Modules
  • Babel
  • ESLint
  • Living Design System
  • Node.js (LTS)
  • RabbitMQ

What the JD emphasized

  • strong hands-on expertise in React.js, TypeScript/JavaScript, Webpack 5 Module Federation, and Redux
  • solid backend experience in Java/J2EE, APIs, and Spring Boot
  • Hands-on expertise in React.js, TypeScript/JavaScript, Webpack 5 Module Federation, Redux, PostCSS / CSS Modules, Babel, ESLint, Living Design System, Node.js (LTS) etc
  • Hands-on experience in Microservices, and RESTful web services development in Java SpringBoot, Spring Kafka (or equivalent framework).
  • In-depth knowledge of Cloud Native Architecture, Microservice Architecture, and related stacks (Service Registry, ELK / Splunk, service registry, VMs, etc.) and container technologies (Docker, Kubernetes, etc.)
  • Expertise with SQL and NoSQL database usage, design, and optimizations.
  • Experience with ML Platform and ML Ops methodologies / GenAi.

Other signals

  • Build AI-driven applications with integrated ML components
  • Experience with ML Platform and ML Ops methodologies / GenAi
  • Deliver scalable platform capabilities across infrastructure, tooling, developer experience, and AI/ML frameworks