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REQUIREMENT_ID_1374 • 3-DAY_ACTIVE_POLICY

Software Engineer II

Company
Company Walmart
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary ₹12 LPA – ₹18 LPA (approx.)
Location
Location Bangalore, Karnataka
Posted Date
Posted Date Today
Python Java C++ JavaScript Data Structures Algorithms System Design AI/ML Cloud Computing GitHub GitHub Copilot Qodo Merge DX AI Chat
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Aptitude Practice Questions Open Resource ↗
Helps candidates sharpen quantitative and logical reasoning needed for the initial screening at Walmart.
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Company Interview Preparation Guide Open Resource ↗
Provides insights into common interview patterns and questions asked by large tech firms like Walmart.
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Comprehensive Interview Prep Resource Open Resource ↗
Covers coding, system design, and behavioral topics that are essential for Walmart's selection process.
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Coding Problem Set Open Resource ↗
Offers a wide range of DSA problems to practice for the online assessment and technical rounds at Walmart.

• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering or related field. • Minimum CGPA/GPA 3.0/4.0 (or equivalent). • Must be an Indian national currently enrolled in a university in the United States. • Final‑year student graduating in the Class of 2026. • No active backlogs; academic standing must be in good standing. • Strong programming skills in Python, Java, C++ or JavaScript. • Solid understanding of data structures, algorithms and basic system design.

1
Round 1: Online Coding Assessment (DSA problems)
2
Round 2: Technical Interview (coding, system design, AI/ML concepts)
3
Round 3: HR Interview (behavioral fit and eligibility verification)
Walmart Global Tech is the technology arm of one of the world’s largest retailers. With a presence in more than 20 countries, Walmart’s engineering teams build platforms that power everything from supply‑chain logistics to customer‑facing mobile apps. The India Development Center (IDC) in Bangalore is a key hub that collaborates with global product teams to deliver high‑impact, large‑scale solutions. Engineers at Walmart enjoy a culture of innovation, data‑driven decision making, and a strong emphasis on learning, supported by modern AI‑assisted development tools and a vibrant community of technologists. The Software Engineer II role is a full‑time university‑hire position aimed at final‑year students of the Class of 2026 who are Indian nationals studying at U.S. universities. Selected candidates will join the Bangalore IDC and work on building scalable software systems that touch millions of customers worldwide. The role blends classic software engineering with emerging AI/ML, cloud, and data‑platform technologies, offering exposure to end‑to‑end product development cycles. Key Responsibilities: 1. Design, develop, test, and deploy scalable backend services and APIs. 2. Collaborate with product managers, designers, and data scientists to translate requirements into robust solutions. 3. Implement AI/ML components, integrating models into production pipelines. 4. Contribute to cloud‑native architecture, leveraging platforms such as AWS or GCP. 5. Work on data‑intensive platforms, handling large‑scale storage and processing workloads. 6. Participate in agile ceremonies, sprint planning, and retrospectives. 7. Conduct thorough code reviews and uphold coding standards. 8. Drive innovation through hackathons, proof‑of‑concepts, and technology sprints. 9. Optimize system performance, reliability, and cost efficiency. 10. Mentor peers and share knowledge on modern development tools like GitHub Copilot and DX AI Chat. Tech Stack: Python, Java, C++, JavaScript, GitHub, AI‑assisted coding tools, cloud services (AWS/GCP), Hadoop, Cassandra, RESTful APIs, Docker/Kubernetes. Growth Path: New hires start as Software Engineer II and can progress to Senior Engineer, Lead Engineer, and eventually to Architecture or Management roles within Walmart Global Tech, with opportunities to move across domains such as supply‑chain, retail systems, finance, and AI. Why Join Walmart? You will work on products that impact millions of shoppers, gain hands‑on experience with cutting‑edge AI/ML and cloud technologies, and be part of a supportive, inclusive culture that values continuous learning and career growth.

Walmart — AI & Machine Learning Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC 📖
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource ↗
COMPANY GUIDE 🎯
Walmart Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Walmart and off-campus tech roles.

Open Resource ↗
MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource ↗
CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource ↗
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Python, Java, C++, JavaScript, Data Structures, Algorithms, System Design, AI/ML, Cloud Computing, GitHub, GitHub Copilot, Qodo Merge, DX AI Chat) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Walmart Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the bias-variance tradeoff and how do you prevent overfitting? Answer ▼
Model Answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer ▼
Model Answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer ▼
Model Answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer ▼
Model Answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Why do you want to join Walmart as a Software Engineer II?
Preparation Tip: Highlight Walmart's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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