Staff Software Engineer: Cloud-Native AI Platform Lead

Walmart Inc.; Sunnyvale (CA); On-site; USD 143,000 - 286,000; Full time

Benefits offered by this job

Stock

Live Better U: 100% tuition coverage

Job summary

Walmart Global Tech seeks a Staff Software Engineer to deliver scalable platform capabilities and drive the full software development lifecycle, including design, coding, testing, deployment, and maintenance. You will mentor engineers, collaborate across teams, and ensure reliable, efficient systems with AI/ML integration.

The team focuses on digital fulfillment, iterative development, testing, and platform support, leveraging AI and automation to enhance scalability and quality.

Qualifications

• Bachelor's degree in computer science, computer engineering, or related area.
• 4+ years of software engineering or related experience.
• Alternative: 6 years of software engineering or related experience.

Responsibilities

• Deliver platform capabilities aligned with roadmap milestones and priorities.
• Drive full software development lifecycle including coding, testing, deployment, monitoring, and maintenance.
• Apply cloud-native principles to ensure scalable, resilient systems.
• Conduct system design reviews to validate feasibility and architecture.
• Build AI-driven applications and integrate ML components for automation.
• Mentor engineers and promote engineering excellence through collaboration.
• Translate complex problems into actionable technical requirements and success metrics.

Skills

Cloud-native

Microservices

CI/CD

API design

Mentorship

Stakeholder collaboration

ML integration

Education

Bachelor's degree in CS or related field

6+ years software engineering experience

Tools

Kafka

Kubernetes

Elasticsearch

CosmosDB

MS-SQL Server

Job description

Walmart Global Tech seeks a Staff Software Engineer to deliver scalable platform capabilities and drive the full software development lifecycle, including design, coding, testing, deployment, and maintenance. You will mentor engineers, collaborate across teams, and ensure reliable, efficient systems with AI/ML integration.

The team focuses on digital fulfillment, iterative development, testing, and platform support, leveraging AI and automation to enhance scalability and quality.