Lead scalable platform engineering for cloud-native systems and AI-driven application capabilities across the full software development lifecycle.

Deliver platform capabilities across infrastructure, tooling, and AI frameworks aligned to roadmap priorities
Own end-to-end software development lifecycle activities: coding, testing, deployment, monitoring, and maintenance
Apply cloud-native architecture principles to build scalable, resilient, and agile systems
Run system design reviews to validate quality and ensure alignment with architectural standards
Build AI-driven applications integrating Graph components and automation features
Mentor engineers, influence technical decisions, and promote engineering best practices
Collaborate with stakeholders to convert complex problems into actionable technical requirements
Use data-driven approaches to define success metrics and optimize development processes
Lead continuous improvement initiatives to enhance tools, processes, and product quality

Proven expertise in cloud-native architecture, including microservices, containers, and automation for scalable and resilient systems
Strong experience with software design patterns, GraphQL design, and software prototyping for maintainable, modular solutions
Proficiency in one or more programming languages: Apollo, JavaScript, TypeScript, Python, Java, Rust, Dart, C++
Demonstrated ability to lead full software development lifecycle work including coding, testing, CI/CD deployment, and observability
Skilled in DevOps engineering and platform tooling to improve engineering productivity and developer experience
Data-driven decision-making skills to define metrics and improve development processes
Ability to mentor engineers and influence architectural decisions for sustainable technical growth
Bachelor’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years of experience in software engineering or related area
6 years of experience in software engineering or related area

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
Background in creating inclusive digital experiences
Knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards
Experience with assistive technologies and integrating digital accessibility
Knowledge of accessibility best practices and ability to create accessible products and services following Walmart’s accessibility standards and guidelines

Collaborates closely with the Data Lake group to manage data across multiple AI products
Aligns technical strategies with business goals to deliver impactful results
Emphasizes clear communication and collaboration with stakeholders for program success
Applies expertise in program development, project management, and data analysis to build scalable solutions
Uses a structured approach for complex initiatives, prioritizing clarity, efficiency, and continuous improvement

Onsite full-time role in Bentonville, Arkansas
Remote and hybrid options are not available
Primary location: 805 Se Moberly Ln., Bentonville, AR 72712, United States of America

Immigration sponsorship is not available for this role
Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship

Staff, Software Engineer

Job Description