(USA) Staff, Software Engineer

Role summary:  
The (USA) Staff, Software Engineer plays a critical role in delivering scalable platform capabilities and driving the full software development lifecycle, including design, coding, testing, deployment, and maintenance. This position leads technical execution aligned with strategic roadmaps, applies cloud-native architecture principles, and integrates AI/ML solutions to enhance platform functionality. The role involves mentoring engineers, influencing architectural decisions, and collaborating across teams to solve complex problems. A commitment to engineering excellence, innovation, and continuous improvement ensures high-quality, maintainable, and resilient software solutions that support business objectives.  
About the team:  
The Content Science team combines data science with extended reality to create innovative, personalized content experiences for Walmart customers. Utilizing advanced technologies such as generative AI, machine learning, and XR, the team transforms how customers engage with products both in-store and beyond. Focused on platform design, software development, and AI integration, the team drives scalable, resilient solutions that enhance shopping and discovery. Collaboration and continuous improvement are central, enabling the delivery of cutting-edge applications that align with business goals and elevate the customer experience through data-driven innovation and technical excellence.  
 

What you'll do:  

• Deliver platform capabilities including infrastructure, tooling, and ML frameworks aligned with roadmap milestones and domain priorities. 

• Apply cloud-native architecture principles to ensure scalable, resilient, and agile systems. 

• Lead full software development lifecycle activities including coding, testing, deployment, monitoring, and maintenance. 

• Lead developing and maintaining SDLC best practices and ML engineering patterns for the data science team to ensure development of resilient, scalable, maintainable and interoperable machine learning pipelines 

• Conduct system design reviews to validate quality and alignment with architectural standards. 

• Build AI-driven applications and integrate ML components to support automation and multi-step reasoning. 

• Mentor engineers, influence technical decisions, and promote engineering excellence through documentation and knowledge sharing. 

• Collaborate across teams to define technical requirements and optimize development processes using data-driven practices. 

 
What you'll bring:  

• Proven expertise in cloud-native architecture, including microservices, containers, and automation to ensure scalable and resilient systems. 

• Strong experience in software development lifecycle management, encompassing coding, testing, CI/CD deployment, and maintenance. 

• Proficiency in API design, software prototyping, and applying software design patterns for secure, modular, and maintainable solutions. 

• Demonstrated ability in platform engineering, infrastructure tooling, and DevOps practices to enhance engineering productivity. 

• Demonstrated track record of designing, building and maintaining real-time and offline machine learning pipelines adhering to strict scalability and security standards 

• Skilled in debugging, problem solving, and data-driven decision making to optimize development processes and product quality. 

• Experience mentoring engineers and influencing technical decisions to promote engineering excellence and sustainability. 

• Adaptability to evolving technologies and collaboration across teams to deliver aligned, high-quality solutions. 

• Background in compute and GPU architecture understanding and optimization. 

About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed.  We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.  
Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.  

Benefits:
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer:
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.