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The Staff Software Engineer will design and implement solutions, ensuring seamless product integration and alignment with business requirements. Responsibilities include converting high-level designs into detailed specifications, guiding coding practices, conducting code reviews, automating processes, and translating customer requirements into test strategies.

The Senior Software Engineer will provide expert advice in developing business solutions by analyzing stakeholder needs and translating business problems into data-driven solutions. The role involves managing functional partnerships, conducting requirement analysis, ensuring program adherence, and maintaining coding standards.

As a Staff Software Engineer at Walmart, you'll lead architectural decisions, mentor teams, and drive the adoption of best engineering practices. Your role will involve designing scalable solutions, participating in large-scale projects, and providing support for applications in the catalog engineering space, ensuring high-quality deliveries.

The role involves executing business plans and projects by identifying customer needs, developing resources, and measuring progress. The engineer will provide mentorship and support to associates, ensure compliance with company policies, and improve efficiency and cost-effectiveness in the sourcing technology team.

As a Software Engineer III in the Cloud Powered Checkout team at Walmart, you will develop multi-tenant, scalable checkout solutions, troubleshoot production issues, and collaborate with cross-functional teams to enhance user experiences across global markets.

As a Senior Software Engineer, you will design and maintain the Item Recognition service, work with cross-functional teams, develop complex systems, and advocate for engineering best practices while mentoring junior engineers.

As a Staff Data Scientist, you will lead technical data science projects, focusing on marketing experimentation and measurement. Responsibilities include developing intelligent features, conducting statistical A/B testing, implementing data pipelines, collaborating with cross-functional teams, analyzing large datasets, and communicating insights to stakeholders.