Staff Backend ML Engineer - Cloud-Native AI Platform

Walmart Inc.; Bellevue (WA); Hybrid; USD 132,000 - 264,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Stock purchase program

Paid time off

Job summary

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

The role leads technical execution aligned with roadmaps, applies cloud-native principles, and integrates AI/ML solutions to enhance platform functionality. Mentors engineers and collaborates across teams to translate complex requirements into actionable solutions.

Qualifications

• 7+ years of professional experience in full stack software development and lifecycle (coding, testing, CI/CD, observability, maintenance).
• Experience designing and developing advanced Android applications (Android SDK, Services, background processing).
• Demonstrated technical leadership and collaboration across cross-functional teams.

Responsibilities

• Deliver platform capabilities including infrastructure, tooling, and ML frameworks aligned with roadmap priorities.
• Lead full software development lifecycle activities (coding, testing, deployment, monitoring, maintenance).
• Apply cloud-native architecture principles to improve agility and performance.
• Conduct system design reviews to ensure architectural alignment.
• Build AI-driven applications integrating ML components and automation features.
• Mentor engineers and influence technical decisions.

Education

Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area

6 years' experience in software engineering or related area

Tools

Android SDK

Job description

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

The role leads technical execution aligned with roadmaps, applies cloud-native principles, and integrates AI/ML solutions to enhance platform functionality. Mentors engineers and collaborates across teams to translate complex requirements into actionable solutions.