Platform Lead, Cloud-Native & AI/ML Systems

Walmart

Sunnyvale (CA)

On-site

USD 143,000 - 286,000

Full time

3 days ago
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Benefits offered by this job

Stock
Health benefits

Job summary

Walmart is seeking a Staff Software Engineer to lead scalable platform capabilities, including infrastructure, tooling, and AI/ML frameworks, across the full software lifecycle in a cloud-native environment.

You will mentor engineering teams, collaborate with cross-functional partners, translate complex requirements into actionable technical work, and drive continuous improvement through data-driven practices.

Qualifications

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

Responsibilities

  • Deliver platform capabilities including infrastructure, tooling, and machine learning frameworks aligned with roadmap priorities.
  • Lead full software development lifecycle activities, including coding, testing, deployment, monitoring, and maintenance.
  • Apply cloud-native architecture principles to ensure scalable, resilient systems.
  • Conduct design reviews to validate quality and architectural alignment.
  • Build AI-driven applications and integrate ML components to enhance automation.
  • Mentor engineers and influence technical decisions for long-term sustainability.
  • Collaborate with stakeholders to translate complex problems into actionable technical requirements.
  • Drive continuous improvement through data-driven practices and innovation.

Skills

Cloud-native
Microservices
Containers
Automation
API design
CI/CD
Java
Python
Kafka
Mentoring
Leadership
Cross-functional

Education

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

Job description

Walmart is seeking a Staff Software Engineer to lead scalable platform capabilities, including infrastructure, tooling, and AI/ML frameworks, across the full software lifecycle in a cloud-native environment.

You will mentor engineering teams, collaborate with cross-functional partners, translate complex requirements into actionable technical work, and drive continuous improvement through data-driven practices.

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