Walmart is seeking a Staff Software Engineer to lead the architecture and development of scalable backend and AI platform capabilities powering GenAI, AI agents, intelligent automation, analytics, and decision science across eCommerce. This role will build production-grade APIs, microservices, distributed systems, orchestration services, and cloud-native infrastructure using Python, FastAPI, Kubernetes, Docker, and GCP. The engineer will establish reusable patterns and engineering standards for reliability, security, performance, and scalability. As a senior technical leader, they will drive architectural decisions, mentor engineers, and partner with data science, ML, product, and engineering teams to accelerate production-ready AI innovation at Walmart scale.
About the team:
Our eCommerce Decision Science Platform & Engineering team builds and scales data, AI/ML, and GenAI platforms that turn data and emerging technologies into business impact. We simplify complex technologies, automate analytics and data science workflows, and deliver reliable, secure, and cost-efficient platforms at Walmart scale. Our team enables AI agents, intelligent automation, experimentation, and next-generation analytics through reusable platform capabilities and strong engineering foundations. We value collaboration, technical excellence, continuous improvement, and a strong sense of belonging, while empowering engineers and data scientists to innovate faster and bring production-ready AI solutions to life.
What you'll do:
- Architect and deliver scalable backend and AI platform capabilities supporting GenAI, AI agents, analytics, experimentation, and intelligent automation.
- Build production-grade APIs, microservices, distributed systems, and orchestration services using Python, FastAPI, Kubernetes, Docker, and cloud-native technologies.
- Design resilient event-driven architectures, asynchronous services, and integrations for high-scale workloads.
- Drive the full software lifecycle, including design, development, testing, CI/CD, deployment, observability, and reliability.
- Establish standards for API design, security, performance, and distributed systems.
- Lead architecture reviews, mentor engineers, and influence technical direction.
- Partner with engineering, data science, ML, and product teams to productionize AI solutions at Walmart scale.
What you'll bring:
- Deep expertise in Python backend engineering, including FastAPI, asynchronous programming, APIs, microservices, and production-grade distributed systems.
- Strong experience with Kubernetes, Docker, cloud-native architectures, CI/CD, and scalable infrastructure.
- Proven ability to design highly available, fault-tolerant, event-driven systems using messaging, caching, and modern data stores.
- Hands-on experience building GenAI/AI platforms, agent backends, LLM integrations, orchestration, retrieval, and streaming services.
- Strong knowledge of API security, observability, performance optimization, testing, and reliability engineering.
- Staff-level technical leadership, including architecture decisions, design reviews, engineering standards, and mentorship.
- Ability to partner across engineering, ML, data science, and product teams.
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 $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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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 Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.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 2 years' 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...809 11th Ave, Sunnyvale, CA 94089-4731, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Skills Required
- Minimum qualifications: Bachelor’s in relevant field +3 years analytics experience OR Master’s +1 year OR 5 years experience in analytics or related field.
- Deep expertise in Python backend engineering including FastAPI, asynchronous programming, APIs, microservices, and production-grade distributed systems.
- Experience with Kubernetes, Docker, cloud-native architectures, CI/CD, and scalable infrastructure (GCP).
- Proven ability to design highly available, fault-tolerant, event-driven systems using messaging, caching, and modern data stores.
- Hands-on experience building GenAI/AI platforms, agent backends, LLM integrations, orchestration, retrieval, and streaming services.
- Knowledge of API security, observability, performance optimization, testing, and reliability engineering.
- Staff-level technical leadership: architecture decisions, design reviews, engineering standards, and mentorship.
- Ability to partner across engineering, ML, data science, and product teams.
- Master's degree in CS/CE/CIS/Software Engineering or related and 2 years software engineering experience (preferred).
- Knowledge of Web Content Accessibility Guidelines (WCAG) 2.2 AA and accessibility best practices (preferred).
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
Walmart Global Tech Insights
What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.





