4. Cloud Engineering: Contribute to solutions involving cloud infrastructure and scalable application platforms.
5. Data Platforms: Work with data-intensive systems and technology platforms used at large scale.
6. Consumer Applications: Contribute to software that improves customer experiences.
7. Agile Development: Participate in agile development cycles and engineering workflows.
8. Code Reviews: Participate in code reviews and maintain software engineering quality standards.
9. Innovation: Take part in innovation sprints and explore new technologies and approaches.
10. Large-Scale Engineering: Work on technology that supports Walmart’s global retail ecosystem.
Skills & Eligibility
The specific eligibility criteria for this requisition are important because the role is not open to all Indian final-year engineering students.
Must be a final-year student graduating in 2026 .
Must be pursuing Computer Science, Software Engineering or a related field.
Must have a minimum 3.0/4.0 GPA or equivalent .
Must be an Indian national currently enrolled at a U.S. university .
Must have strong programming skills in Python, Java, C++ or JavaScript.
Must understand data structures, algorithms and system design.
Must be interested in building technology used at large scale.
The general Walmart qualification section also mentions a Bachelor’s degree in computer science, computer engineering, computer information systems, software engineering or a related area, or three years of related software engineering experience. For this particular campus-hire opening, however, the role-specific Class of 2026 and U.S.-university criteria should be treated as the controlling eligibility requirements.
Programming: Strong programming ability in Python, Java, C++ or JavaScript is expected.
Data Structures and Algorithms: Candidates should have a solid understanding of core data structures and algorithms and be able to apply them to programming problems.
System Design: Basic system design knowledge is required, particularly for understanding scalable software architectures.
AI and Machine Learning: The role involves software solutions with AI/ML integrations, making familiarity with AI-enabled applications valuable.
Cloud: Candidates may work on cloud infrastructure and scalable software systems.
Developer Tools: The listing highlights GitHub and AI-assisted development tools such as GitHub Copilot, Qodo Merge and DX AI Chat.
The role-specific eligibility criteria specify a minimum 3.0/4.0 GPA or equivalent .
Key skills include Python, Java, C++, JavaScript, data structures, algorithms and system design . Exposure to AI/ML, cloud technologies, GitHub and AI-assisted development tools is also relevant.
October 20, 2026
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