(USA) Senior, Software Engineer

Position Summary...

What you'll do...

What you’ll do:

· Design, develop, and deploy scalable, production-grade time series forecasting systems using advanced global models (TFT, N-BEATS, PatchTST) 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.

· Develop frontend dashboards and visualization tools (React, Next.js, or similar frameworks) to enable business users to interact with forecasts, anomaly detection, and scenario analysis results.

· 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:

· Deep experience in ML systems engineering (esp. time series and sequence models) and full stack software development.

· Proven ability in backend engineering (Python, Fast API, Flask, Node.js, or similar), API design, and microservice architecture.

· Demonstrated skills in frontend development (React, Next.js, TypeScript, or similar), building dashboards and interactive analytics UIs.

· 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.

· Solid foundation in distributed computing and processing big data for feature engineering, model training, and inference.

· Hands-on with PyTorch, TensorFlow/Keras, Scikit-learn, and ML Ops tools (ML flow, Vertex AI, Sage maker, 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.

· Familiarity with UX/UI best practices and designing for business analytics consumption.

· 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

· Frontend dashboards and business analytics tooling

· 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. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds 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.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

‎ 

‎ 

‎ 

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.

‎ 

For information about PTO, see https://one.walmart.com/notices.

‎ 

‎ 

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

‎ 

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.

‎ 

For information about benefits and eligibility, see One.Walmart.

‎ 

The annual salary range for this position is $90,000.00-$180,000.00

‎ 

Additional compensation includes annual or quarterly performance bonuses.

‎ 

Additional compensation for certain positions may also include:

‎ 

‎ 

- Stock

‎ 

‎ 

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 3 years’ experience in software engineering or related area.Option 2: 5 years’ experience in software engineering or related area.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area., 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.

Primary Location...

9440 Tba, Bentonville, AR 72716-0001, United States of America