(USA) Software Engineer III

Position Summary

What you'll do:

• Develop, and deploy scalable, production-grade time series forecasting systems using advanced global models to support high-volume retail and e-commerce workloads.
• Build and orchestrate end-to-end ML pipelines for data ingestion, training, evaluation, deployment, and monitoring, leveraging workflow managers such as Airflow, Astronomer, or Kubeflow.
• Engineer robust backend services and RESTful APIs to serve ML models and analytics, ensuring secure, reliable, and low-latency data access for internal and external stakeholders.
• Implement and automate CI/CD pipelines for code, models, and infrastructure, applying best practices for version control, testing, code review, and continuous integration.
• Integrate generative AI and NLP-based analytics assistants into both backend and frontend workflows for intelligent querying, reporting, and data synthesis.
• Utilize distributed compute frameworks (Spark, Ray, Dask) for large-scale data processing and model training, ensuring scalable and efficient resource use.
• Develop and maintain cloud-native microservices and infrastructure (Docker, Kubernetes, Terraform, GCP, Azure) for robust deployment, scaling, and monitoring of ML and web applications.
• Collaborate closely with cross-functional teams (software engineers, data scientists, product, business) to gather requirements, design end-to-end solutions, and deliver value through technology.

What you'll bring:

• Experience in ML systems engineering (esp. time series and sequence models) and full stack software development.
• Proven ability in backend engineering (Python, FastAPI, Flask, Node.js, or similar), API design, and microservice architecture.
• Strong grasp of cloud platforms (GCP, Azure, or AWS), containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform, CloudFormation).
• Experience implementing CI/CD, DevOps best practices, monitoring, and logging for both ML and web services.
• Experienced in distributed computing and processing big data for feature engineering, model training, and inference.
• Hands-on with PyTorch, TensorFlow/Keras, Scikit-learn, and MLOps tools (MLflow, Vertex AI, Sagemaker, etc.).

Great to have:

• Experience with retrieval-augmented generation (RAG), LLM fine-tuning, and large-scale NLP pipelines.
• Expertise in real-time data processing, WebSockets, and serverless architectures.
• Domain experience in retail, e-commerce, or financial analytics.

Behavioral Qualifications:

• Full stack builder's mindset —ownership across the ML, backend, and frontend stack.
• Strong collaborative skills, with the ability to communicate technical ideas to non-technical stakeholders and drive end-to-end delivery.
• Adaptability, curiosity, and commitment to best engineering practices.

Highlights of Full Stack + MLE Focus:

• Production ML systems from data to user interface
• API and microservice development for scalable ML delivery
• Cloud-native deployment, automation, and MLOps
• Cross-functional ownership from infrastructure to end-user experience

About Walmart Global Tech:

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.

Flexible, hybrid work:

We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.

Benefits:

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Statement:

Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions while being welcoming of all people.

Minimum Qualifications:

Option 1: Bachelor’s degree in computer science, computer engineering, computer information systems, software engineering, or related area and 2 years’ experience in software engineering or related area. Option 2: 4 years’ experience in software engineering or related area.

Preferred Qualifications:

Customer Service, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture. Masters: Computer Science

Primary Location:

805 Se Moberly Ln, Bentonville, AR 72712, United States of America