Staff Software Engineer — Backend, Data & AI Platforms

Walmart Inc.

Sunnyvale (CA)

On-site

USD 143,000 - 286,000

Full time

6 days ago
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Benefits offered by this job

Health benefits
401(k) and stock purchase
Paid time off
Life insurance
Educational benefits (Live Better U)

Job summary

Walmart Inc. is seeking a Staff Software Engineer in Sunnyvale, CA to lead design, development, and delivery of scalable platform capabilities, including infrastructure, tooling, and AI/ML frameworks. You will mentor teams and drive data-driven improvements across functions to support Walmart’s operational excellence.

You will work on Walmart Fulfillment Services, developing high-performance systems, integrating ML components, and applying CI/CD practices to deliver value at scale.

Qualifications

  • Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area.
  • 4+ years of software engineering experience or 6 years alternative.
  • Experience with cloud-native architectures, microservices and data engineering.

Responsibilities

  • Deliver platform capabilities including infrastructure, tooling, and ML frameworks aligned with roadmap milestones.
  • Apply cloud-native architecture principles to ensure scalable, resilient systems.
  • Lead full software development lifecycle activities including coding, testing, deployment, monitoring, and maintenance.
  • Mentor engineers and promote engineering excellence through documentation and knowledge sharing.
  • Collaborate across teams to define technical requirements and track success metrics.

Job description

Walmart Inc. is seeking a Staff Software Engineer in Sunnyvale, CA to lead design, development, and delivery of scalable platform capabilities, including infrastructure, tooling, and AI/ML frameworks. You will mentor teams and drive data-driven improvements across functions to support Walmart’s operational excellence.

You will work on Walmart Fulfillment Services, developing high-performance systems, integrating ML components, and applying CI/CD practices to deliver value at scale.

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