(USA) Senior Manager, Software Engineering

Position Summary...

What you'll do...

Senior Software Engineering Manager – Global Time & Attendance (GTA)

About Global Time & Attendance (GTA)

Global Time & Attendance (GTA) is a core People Technology domain at Walmart responsible for how millions of associates across global markets manage time, attendance, premiums, and labor compliance. GTA platforms support stores, clubs, distribution centers, manufacturing facilities, and corporate teams, enabling accurate pay, regulatory compliance, and reliable workforce operations at scale. This role sits within GTA and may support International Expansion, Platform Capabilities, Clocking, Manager Experience, or other GTA initiatives, depending on organizational priorities.

Role Overview

The Senior Software Engineering Manager provides technical execution leadership, people leadership, and operational ownership across one or more GTA product or platform areas. The scope of responsibility may evolve to meet business needs while remaining aligned to Walmart’s engineering leadership expectations.

Platform Engineering Leadership

Leads platform-level execution of software and AI/ML systems, ensuring alignment with domain priorities and roadmap milestones. Oversees shared infrastructure, tooling, and ML frameworks for example, CI/CD, SDKs, model runtimes, feature stores) that support scalable, reusable, and secure development. Guides architectural reviews and system design decisions to ensure maintainability, extensibility, and performance across services. Champions system integration leadership to ensure seamless interoperability and consistency across platforms.

Technical Execution & Lifecycle Management

Drives the full software development lifecycle—including coding, testing, deployment, observability, and ongoing maintenance—across multiple teams. Champions DevOps architecture and CI/CD practices to streamline delivery, improve reliability, and promote continuous improvement. Implements cloud cost optimization strategies and reduces friction/toil through automation, telemetry, and tooling enhancements. Owns operational delivery and technical excellence, ensuring high system availability, scalability, and incident response preparedness.

AI/ML Integration & Product Development

Oversees the design and delivery of robust, AI-integrated software systems that serve millions of customers and associates, ensuring adherence to coding standards, architectural alignment, and cross-platform reliability. Collaborates with product, data science, and engineering teams to build AI/ML-enabled features, intelligent automation, and agentic AI systems. Integrates ML components and AI agents using languages such as Python, Java, Rust, Dart, and TypeScript. Leverages developer tools such as GitHub Copilot to accelerate innovation and enhance engineering velocity.

Engineering Leadership

Mentors and develops engineers, fostering a culture of learning and innovation. Guides engineers and managers through architectural trade-offs, best practices, and career growth opportunities. Ensures technical quality by promoting rigorous testing, code reviews, defect prevention, and adherence to security and compliance standards.

Strategic Execution & Stakeholder Management

Owns the execution of complex technical initiatives, ensuring delivery on time, within scope, and aligned with business goals. Aligns platform engineering work with broader domain strategies via effective backlog management, milestone tracking, and dependency coordination. Manages stakeholder relationships across engineering, product, and data teams to define priorities and unblock progress. Establishes and tracks operational, functional, and engineering metrics to assess platform success and guide continuous improvement.

Technical Ownership

Demonstrates responsibility for deliverables, ensuring solutions meet quality standards and business objectives. Takes initiative to resolve issues and drive projects to completion.

Technical Judgment

Applies sound reasoning to make informed technical decisions, balancing trade-offs and considering long-term impacts on system architecture and business goals.

Change Agility

Adapts quickly to change, embraces new technologies, and understands the broader system context. Anticipates downstream effects of technical choices and integrates feedback to improve