Staff, Software Engineer

Walmart Walmart · Retail · Bentonville, AR

Staff Software Engineer on Walmart’s US Omni Tech team, leading design and delivery of cloud-native, scalable platform capabilities for various ecosystems (Real Estate, Energy, IoT, Digital Twin, EV Charging, renewable energy). The role involves integrating AI/ML to enhance efficiency and sustainability in facility operations, providing technical leadership, mentoring engineers, and partnering with product/data/business teams to create high-impact solutions. The engineer will also define long-term technical strategy and influence how Walmart locations are managed and optimized.

What you'd actually do

  1. Deliver scalable platform capabilities across infrastructure, tooling, developer experience, and 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. Conduct design reviews and ensure architectural alignment.
  5. Build AI-driven applications with integrated ML components.

Skills

Required

  • cloud-native architecture: microservices, containers, orchestration, automation
  • software design patterns, API design, and platform engineering
  • full SDLC, CI/CD, observability, and operational excellence
  • integrate AI/ML components using Python, JavaScript, C++, Java
  • debugging, optimization, and data-driven decision-making capabilities
  • distributed systems, HPC, and fault-tolerant design
  • database internals knowledge for SQL/NoSQL tuning and storage design
  • security-first engineering and threat modeling
  • event-driven architectures (Kafka, queues) and async processing
  • Cloud infrastructure and cloud automation

Nice to have

  • Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area
  • creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility

What the JD emphasized

  • AI/ML

Other signals

  • integrating AI/ML to improve efficiency, sustainability, and intelligent facility operations at massive scale
  • Build AI-driven applications with integrated ML components
  • Ability to integrate AI/ML components using Python, JavaScript, C++, Java