Staff Software Engineer: Cloud-Native AI/ML Platform

Walmart, Inc.; Bentonville (AR); On-site; USD 150,000 - 190,000; Full time

Job summary

Walmart, Inc. is seeking a Staff Software Engineer to deliver scalable platform capabilities across the full software lifecycle, including requirements, design, coding, testing, deployment, monitoring, and maintenance.

The role requires deep expertise in cloud-native architecture, API design, and AI/ML integration to build modular, resilient solutions. It blends hands-on engineering with technical leadership, mentoring, and cross-team collaboration across Data Ventures.

Qualifications

• Bachelor's degree in computer science, computer engineering, software engineering, or related field.
• 6 years' experience in software engineering or related area.
• Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area (preferred).

Responsibilities

• Deliver platform capabilities, infrastructure, tooling, and ML frameworks aligned with roadmap priorities.
• Apply cloud-native principles to build scalable, resilient systems.
• Lead system design reviews to ensure quality and architectural alignment.
• Mentor engineers, promote engineering best practices, and drive knowledge sharing.
• Collaborate with cross-functional teams to translate requirements into technical solutions.

Skills

Cloud-native architecture

API design

Mentoring

Cross-team collaboration

Data-driven decisions

Programming languages

Education

Bachelor's degree in CS/CE/SE

Master's degree (preferred)

Job description

Walmart, Inc. is seeking a Staff Software Engineer to deliver scalable platform capabilities across the full software lifecycle, including requirements, design, coding, testing, deployment, monitoring, and maintenance.

The role requires deep expertise in cloud-native architecture, API design, and AI/ML integration to build modular, resilient solutions. It blends hands-on engineering with technical leadership, mentoring, and cross-team collaboration across Data Ventures.