(IDC) STAFF, SOFTWARE ENGINEER

About Team Walmart’s Corporate Technology and Services (CTS) 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 CTS. Joining CTS 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 Do Guide the team in architectural decisions and best practices for building scalable, AI-powered full-stack applications.

Drive the end-to-end design, development, implementation, and documentation of intelligent systems, seamlessly integrating Large Language Models (LLMs), Generative AI, and traditional machine learning models into robust production environments.

Build, test, and deploy cutting-edge AI solutions and modern web applications at scale, directly impacting the daily workflows of Walmart associates worldwide.

Interact with Walmart engineering, data science, and AI teams across geographies to leverage domain expertise, align on model deployment strategies, and contribute to the broader tech community.

Engage closely with Product Management and Business stakeholders to drive the AI product agenda, set technical priorities, and deliver intuitive, high-impact products.

Drive the success of implementations by applying deep technical skills in both front-end/back-end development and AI integration, designing enhanced processes and technical solutions in support of strategic initiatives.

Work closely with Enterprise Architects and cross-functional teams to establish and follow architectural guidelines for the delivery of scalable AI solutions meeting QCD (Quality, Cost & Delivery) standards.

Collaborate with senior leadership to chart out the future technology and AI roadmap of our product suite, identifying opportunities where AI can solve complex business problems.

Participate in hiring and mentor junior to senior engineers, building high-performing, agile teams equipped to handle complex full-stack and AI challenges.

Translate complex business requirements into clear AI/ML and technical deliverables, interacting closely with business owners and technical teams within India and across the globe.

What You’ll Bring Bachelor’s/Master’s degree in Computer Science, engineering, or related field, with minimum 10+ years of experience in software design, development and automated deployments.

Hands on experience building Java-based backend systems and experience of working in cloud based solutions is a must. Should be proficient in Java, Spring Boot, Kafka and Spark.

Have prior experience in delivering highly scalable large scale data processing Java applications.

Strong in high and low level system design. Should be experienced in designing data intensive applications in open stack.

A good understanding of CS Fundamentals, Microservices, Data Structures, Algorithms & Problem Solving

Experience designing and implementing REST API web services using Java/J2EE, Spring, Spring Boot, and Spring MVC Strong in writing modular and testable code and test cases (unit, functional and integration) using frameworks like JUnit, Mockito, and Mock MVC

Should be experienced in CICD development environments/tools including, but not limited to, Git, Maven, Jenkins.

Should be experienced in microservices architecture. Possesses good understanding of distributed concepts, common design principles, design patterns and cloud native development concepts.

Hands-on experience in Spring boot, concurrency, garbage collection, RESTful services, data caching services and ORM tools.

Must have experince in integrating foundational LLM models, LLMs and RAG framework using Spring AI and LangChain4j.

Should have used embeeded Vector DBs(like pgvector/Milvus) and Redis based sematic caching into the database.

Experince in working with reactive programming using Wekflux and similar streamin…