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Not Specified Permanent

Seattle, Washington · USA job

(USA) Senior Manager, Software Engineering

Walmart

Seattle, Washington

Job description

Overview

In questa role you lead platform-level software and AI/ML initiatives at Walmart, aligning work with strategic roadmaps. You oversee shared infrastructure, tooling, and frameworks to enable scalable, secure development across multiple teams. You drive the full software lifecycle with a DevOps focus, optimize cloud costs, and mentor engineers to deliver high-quality solutions. You collaborate across product, data, and engineering to maximize business impact and operational excellence.

Compensation / Benefits
  • Health benefits (medical, vision, dental)
  • 401(k) with company stock purchase
  • Paid time off including sick and parental leave
  • Life insurance
  • Live Better U education program
  • Company discounts
Responsibilities
  • Lead platform-level execution of software and AI/ML systems aligned with domain priorities
  • Oversee shared infrastructure, tooling, and reusable development frameworks
  • Drive full SDLC across multiple teams with DevOps and continuous improvement
  • Manage cloud cost optimization, automation, telemetry, and tooling to reduce friction
  • Mentor engineers, guide architectural decisions, ensure quality and compliance
  • Collaborate with stakeholders to define priorities, track milestones, and ensure timely delivery
  • Foster innovation by identifying opportunities to improve processes, tools, and products
Key requirements
  • Extensive experience leading platform engineering initiatives aligned with strategic roadmaps
  • Proven expertise in full SDLC, DevOps architecture, CI/CD, and cloud cost optimization
  • Strong technical judgment for scalable, maintainable, and high-performance systems
  • Demonstrated success in stakeholder management and coordinating cross-functional teams
  • Project management, milestone tracking, and capacity planning skills
  • Commitment to mentoring engineers and continuous improvement
  • Stakeholder management
  • Cross-functional collaboration
  • Mentoring and coaching
  • Platform engineering
  • AI/ML system development
  • DevOps practices and CI/CD

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