Staff Software Engineer — Full-Stack Java & AI Platforms

Walmart Inc.

Sunnyvale (CA)

Hybrid

USD 143,000 - 286,000

Full time

4 days ago
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Benefits offered by this job

Health benefits
401(k)
Stock purchase
PTO and family leave
Education benefit (Live Better U)

Job summary

Walmart is seeking a Staff Software Engineer in Sunnyvale, CA to lead the design, development, and deployment of scalable platform capabilities, including cloud-native infrastructure and ML frameworks. You will own the full software lifecycle, drive architectural excellence, and mentor peers to improve engineering productivity across teams.

Qualified candidates have extensive cloud-native experience, strong backend and frontend skills, and a track record of delivering high-quality, scalable

Qualifications

  • 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.
  • 4 years' experience in software engineering or related area.

Responsibilities

  • Lead design, development, and deployment of scalable platform capabilities.
  • Apply cloud-native architecture principles for scalable and resilient systems.
  • Lead full software development lifecycle activities including coding, testing, deployment, monitoring, and maintenance.
  • Conduct system design reviews to validate feasibility and architectural best practices.
  • Build AI-driven applications and integrate ML components to enhance automation.
  • Mentor engineers and promote engineering excellence through collaboration.

Skills

Cloud-native architecture
Microservices
Java
Spring Boot
React/Angular
JavaScript/TypeScript
API design
CI/CD
Mentoring engineers

Education

Bachelor's degree in CS/CE/related field
Master's degree in CS/Engineering

Job description

Walmart is seeking a Staff Software Engineer in Sunnyvale, CA to lead the design, development, and deployment of scalable platform capabilities, including cloud-native infrastructure and ML frameworks. You will own the full software lifecycle, drive architectural excellence, and mentor peers to improve engineering productivity across teams.

Qualified candidates have extensive cloud-native experience, strong backend and frontend skills, and a track record of delivering high-quality, scalable

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