Senior Software Engineer Walmart Codebase Experience

  • Posted 2 hours ago | Updated 2 hours ago

Overview

Remote
Depends on Experience
Contract - W2
Contract - Independent

Skills

A/B Testing
Artificial Intelligence
Data Science
Machine Learning Operations (ML Ops)
Node.js
Java
scikit-learn
TensorFlow
Python
React.js
Pandas
Jenkins
Machine Learning (ML)
Google Cloud Platform
Backend Development
spring boot
walmart

Job Details

Senior Software Engineer who brings deep knowledge of Walmart's engineering ecosystem along with hands-on AI/ML expertise. This role blends robust backend development with data-driven intelligence to power scalable, personalized retail experiences.

Responsibilities
Architect, build, and deploy AI-enhanced features such as product recommendations, intelligent search, and dynamic pricing integrated with Walmart's existing platforms.
Design and integrate ML models into backend microservices and frontend experiences, ensuring real-time performance and scalability.
Collaborate with cross-functional teams, including data science, MLOps, and retail analytics, to drive customer-centric solutions.
Leverage internal Walmart tools and frameworks for model training, deployment, and monitoring within the company's CI/CD pipeline.
Maintain code quality and AI system reliability using test automation, canary deployments, and continuous monitoring.
Participate in AI/ML experimentation frameworks, A/B testing, and inference optimization at scale.

Required Skills
Experience working with Walmart codebase or previous roles at Walmart Labs / Walmart Global Tech.
Proficient in Java, Node.js, React/Redux, Spring Boot, and Walmart's microservice architecture.
Strong applied knowledge in AI/ML with tools like TensorFlow, PyTorch, scikit-learn, or XGBoost.
Experience deploying models using REST APIs, ONNX, or TensorFlow Serving.
Hands-on with data pipelines, feature engineering, and training data curation using Python, Pandas, Spark, or BigQuery.
Familiarity with AI/ML use cases in retail: recommendations, customer segmentation, demand forecasting, and computer vision for product tagging or in-store analytics.
Cloud experience with Google Cloud Platform, AWS SageMaker, or internal Walmart AI infrastructure.
Understanding of Walmart's AI deployment practices, CI/CD tools (e.g., OneOps, Jenkins), and experimentation platforms.
Education
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

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