Walmart · Bentonville, AR, United States
Skills: JavaScript, Python, CI/CD, Accessibility
Position Summary... -----------------------
What you'll do... ---------------------
Role summary:
As a Staff Software Engineer at Walmart, you will lead the design and delivery of scalable platform capabilities, driving full lifecycle software development and infrastructure innovation. You will apply cloud-native principles to enhance system resilience and agility while integrating AI/ML solutions to advance automation and intelligence. This role requires technical leadership, mentorship, and collaboration across teams to ensure high-quality, maintainable solutions aligned with business objectives. You will leverage data-driven practices to optimize performance and continuously improve engineering processes, contributing to Walmart’s commitment to operational excellence and innovation.
About the team:
Our Accounts Receivable team is dedicated to modernizing financial processes through scalable technology, automation, and strong business partnerships. The team develops solutions supporting key receivables functions, including invoicing, reconciliation, payment, and financial integrations, enhancing efficiency, accuracy, and user experience. Members collaborate closely with Product, Finance, and engineering teams across markets to address complex financial challenges at scale. This environment fosters innovation and continuous improvement, leveraging skills in platform design, API development, and cloud-native architecture to deliver reliable, maintainable, and scalable software solutions that drive business success.
What you'll do:
Deliver platform capabilities including infrastructure, tooling, and ML frameworks aligned with roadmap milestones and domain priorities. Lead full software development lifecycle activities such as coding, testing, deployment, monitoring, and maintenance. Conduct system design reviews to ensure quality, feasibility, and alignment with architectural standards. Build AI-driven applications and integrate ML components using multi …truncated… r infor…
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