Lead Platform Engineer: Cloud-Native & AI/ML

Walmart Inc.

Bentonville (AR)

Hybrid

USD 110,000 - 220,000

Full time

14 days+

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Benefits offered by this job

Health benefits (medical, vision, and?
401(k)
Stock purchase program
Company-paid life insurance
Paid time off and leave benefits
Live Better U education program

Job summary

Walmart Inc. in Bentonville, AR, seeks a Principal Software Engineer to lead platform engineering, delivering scalable cloud-native infrastructure and AI/ML-enabled applications across multiple teams.

You will own technical decisions, mentor engineers, and align architecture with long-term roadmaps while ensuring reliability, performance, and security across data processing pipelines.

Qualifications

  • Bachelor's degree in CS/CE/Software Engineering or related field
  • 5+ years software engineering experience (or 7 years) in software development

Responsibilities

  • Lead platform engineering efforts to deliver scalable infrastructure and reusable tooling.
  • Drive full software development lifecycle across multiple teams with high availability and fault tolerance.
  • Architect and integrate AI‑enhanced applications using cloud‑native principles.
  • Provide technical leadership and mentorship, promoting engineering excellence and standardization across teams.
  • Collaborate with stakeholders to translate business needs into measurable technical requirements.

Skills

Java (JDK 21)
Spring
Spring Boot
Domain-Driven Design
Distributed systems
AI/ML integration
Mentorship
Cloud-native architecture
Real-time data processing
Leadership

Education

Bachelor's degree in Computer Science/Engineering or related
5+ years software engineering experience (or 7 years)

Tools

Cosmos DB
Cassandra
Spanner

Job description

Walmart Inc. in Bentonville, AR, seeks a Principal Software Engineer to lead platform engineering, delivering scalable cloud-native infrastructure and AI/ML-enabled applications across multiple teams.

You will own technical decisions, mentor engineers, and align architecture with long-term roadmaps while ensuring reliability, performance, and security across data processing pipelines.

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