Senior Platform Engineering Leader - AI/ML & DevOps

Walmart Inc.

Bentonville (AR)

On-site

USD 110,000 - 220,000

Full time

26 hours ago
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Job summary

Walmart seeks a Senior Manager, Software Engineering in Bentonville, AR to lead platform-level execution of software and AI/ML systems, overseeing infrastructure, tooling, and CI/CD across multiple teams. You will mentor engineers and drive architectural decisions with a focus on reliability and cost optimization.

Collaborating with product, data, and security teams, you will align engineering efforts with business goals, track KPIs, and promote DevOps best practices while delivering scalable,

Qualifications

  • Bachelor's degree in computer science, computer engineering, or related field.
  • 5+ years of software engineering experience or 7 years with alternative path.
  • 2 years supervisory experience.

Responsibilities

  • Lead platform-level execution of software and AI/ML systems across teams.
  • Oversee shared infrastructure, tooling, and frameworks for scalable development.
  • Drive full software development lifecycle with DevOps and CI/CD practices.
  • Manage cloud cost optimization and enhance automation and telemetry.
  • Mentor engineers and guide architectural decisions while ensuring quality and compliance.
  • Collaborate with stakeholders to align engineering with business goals and track KPIs.
  • Foster continuous improvement and timely project delivery.

Skills

Java
J2EE
Spring
JVM internals
Concurrency
Multithreading
SOA
RESTful APIs
SQL
Relational DBs

Education

Bachelor's degree in CS/CE

Job description

Walmart seeks a Senior Manager, Software Engineering in Bentonville, AR to lead platform-level execution of software and AI/ML systems, overseeing infrastructure, tooling, and CI/CD across multiple teams. You will mentor engineers and drive architectural decisions with a focus on reliability and cost optimization.

Collaborating with product, data, and security teams, you will align engineering efforts with business goals, track KPIs, and promote DevOps best practices while delivering scalable,

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