(USA) Staff, Software Engineer
About The Position
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. 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.
Requirements
- 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.
- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field.
- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field.
- 5 years' experience in an analytics or related field.
Nice To Haves
- 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.
- Knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
- Knowledge of accessibility best practices and joining in creating accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.
Responsibilities
- 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.
Benefits
- Competitive pay
- Performance-based bonus awards
- Medical coverage
- Vision coverage
- Dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO (including sick leave)
- Parental leave
- Family care leave
- Bereavement
- Jury duty
- Voting
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- Live Better U (Walmart-paid education benefit program for full-time and part-time associates)
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
