(usa) Senior, Software Engineer

Walmart Walmart · Retail · Bentonville, AR

Senior Software Engineer role focused on architecting, designing, and delivering next-generation Accounting & General Ledger platforms for Walmart's Enterprise Business Services. The role involves leading technical strategy, mentoring engineers, and leveraging AI-assisted tools and integrating AI capabilities into financial platforms to improve velocity, quality, and transform enterprise finance.

What you'd actually do

  1. Lead Architecture & Design: Drive architecture and design for complex, enterprise-scale systems ensuring scalability, reliability, and maintainability. Set the vision for the area in alignment with enterprise and industry standards.
  2. Technical Strategy & Standards: Define coding standards, enforce best practices, and guide decisions for performance, security, and observability.
  3. AI-Driven Development: Champion AI-assisted tools (code generation, testing automation, intelligent monitoring) to improve velocity and quality.
  4. Embed AI Features: Identify opportunities to integrate AI-driven capabilities into financial platforms and guide scalable implementation.
  5. Full Lifecycle Ownership: Own design, coding, testing, CI/CD deployment, and operational excellence for mission-critical systems.

Skills

Required

  • 6+ years of software engineering experience
  • React (and/or React Native)
  • backend technologies (Node.js, Java, Scala, APIs etc)
  • cloud platforms (Azure/AWS)
  • CI/CD pipelines
  • containerization (Docker/Kubernetes)
  • distributed system design
  • service-oriented architecture
  • data integrity principles
  • SQL/NoSQL databases
  • observability tools
  • performance optimization
  • communication and collaboration skills
  • ability to influence technical direction
  • drive AI adoption
  • Bachelor's or master's degree in computer science, Engineering, or related field

Nice to have

  • financial systems or ledger processing
  • Contributions to open-source or internal technical communities
  • Familiarity with developer productivity tooling and platform engineering
  • Experience with financial systems, ledger processing, or enterprise accounting platforms
  • Knowledge of observability tools, performance tuning, and security best practices
  • Exposure to AI/ML integration and data-driven applications

What the JD emphasized

  • AI-assisted tools
  • integrate AI-driven capabilities
  • emerging technologies (AI)