STAFF, SOFTWARE ENGINEER (Fullstack)

About Team Walmart’s Corporate Tech and Services is a powerhouse of several exceptional teams delivering world-class technology solutions and services making a profound impact at every level of Walmart.

As a key part of Walmart Global Tech, our teams set the bar for operational excellence and leverage emerging technology to support millions of customers, associates, and stakeholders worldwide. Each time an associate turns on their laptop, a customer makes a purchase, a new supplier is onboarded, the company closes the books, physical and legal risk is avoided, and when we pay our associates consistently and accurately, that is Corporate Tech. Joining this team means embarking on a journey of limitless growth, relentless innovation, and the chance to set new industry standards that shape the future of Walmart.

What you’ll doProvide technical leadership and architectural direction for complex, high-impact engineering initiatives spanning multiple teams and technology domains.

Design and develop scalable, secure, resilient, and high-performing enterprise applications that deliver measurable customer and business value.

Lead the architecture and implementation of distributed systems, microservices, APIs, event-driven platforms, and cloud-native solutions.

Drive end-to-end technical solutions across backend, frontend, data, cloud, and AI, balancing scalability, reliability, performance, security, and cost.

Apply strong computer science fundamentals, system design, data structures, algorithms, and design patterns to solve complex engineering problems.

Lead architecture reviews, design reviews, and code reviews, establishing engineering standards and driving technical excellence across teams.

Build and integrate Generative AI and LLM-powered solutions, including RAG, AI agents, intelligent automation, and AI-assisted workflows.

Design production-ready AI/ML and agentic systems, incorporating model selection, prompt/context engineering, embeddings, vector search, tool calling, evaluation, observability, guardrails, and human oversight.

Leverage platforms such as Azure OpenAI, OpenAI, and Google Gemini to deliver secure, scalable, and enterprise-ready AI capabilities.

Partner with Product, UX, Data, Security, Privacy, Architecture, and business stakeholders to translate complex requirements into simple, scalable technology solutions.

Drive modernization, automation, performance optimization, cloud cost optimization, and technical debt reduction across platforms.

Champion security and privacy by design, ensuring solutions meet enterprise security, compliance, and data protection requirements.

Establish engineering excellence through CI/CD, automated testing, observability, logging, monitoring, reliability, and operational best practices.

Lead troubleshooting and resolution of complex production issues through root-cause analysis and sustainable corrective actions.

Mentor and coach engineers, raise the technical bar, and foster a culture of innovation, ownership, collaboration, and continuous learning.

Evaluate emerging technologies and AI capabilities and translate them into practical, measurable enterprise solutions.

What you’ll bringBachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

10+ years of software engineering experience building large-scale enterprise applications.

Strong hands-on expertise in Java, Spring Boot, Microservices, REST APIs, and distributed systems.

Strong frontend experience with React.js and TypeScript.

Strong foundation in Data Structures, Algorithms, Object-Oriented Design, Design Patterns, and System Design.

4+ years of experience designing and delivering scalable, highly available, and fault-tolerant distributed systems.

Strong experience with databases, data modeling, caching, messaging, asynchronous processing, and event-driven architectures.

Strong Python development skills, particularly for automation, data, AI/ML, and GenAI applications.

Hands-on experience with Generative AI, LLMs, RAG, AI agents, and agentic workflows.

Experience with prompt engineering, context engineering, embeddings, vector databases, tool/function calling, model evaluation, guardrails, and LLM observability.

Strong understanding of application security, authentication/authorization, secure coding, privacy, a…