
10,000+ employees
Founded 1962
🛒 Retail
🛍️ eCommerce
👥 B2C
💰 $5G Post-IPO Debt - Walmart on 2023-04
Retail • eCommerce • B2C
Walmart is a multinational retail corporation that operates a large chain of hypermarkets, discount department stores, and grocery stores. Headquartered in Bentonville, Arkansas, Walmart sells a wide range of consumer goods through thousands of physical stores and an e-commerce marketplace, serving consumers directly and supporting extensive logistics and supply-chain operations to stock its network.
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10,000+ employees
Founded 1962
🛒 Retail
🛍️ eCommerce
👥 B2C
💰 $5G Post-IPO Debt - Walmart on 2023-04
Retail • eCommerce • B2C
Walmart is a multinational retail corporation that operates a large chain of hypermarkets, discount department stores, and grocery stores. Headquartered in Bentonville, Arkansas, Walmart sells a wide range of consumer goods through thousands of physical stores and an e-commerce marketplace, serving consumers directly and supporting extensive logistics and supply-chain operations to stock its network.
• 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
• Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field; or • Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field; or • 5 years' experience in an analytics or related field • 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 • Experience designing 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
• Performance-based bonus awards • Medical, vision, and dental coverage • 401(k) • Stock purchase • Company-paid life insurance • Paid time off, including sick leave • Parental leave • Family care leave • Bereavement leave • Jury duty leave • Voting leave • Short-term and long-term disability • Company discounts • Military Leave Pay • Adoption and surrogacy expense reimbursement • PTO and/or PPTO usable for vacation, sick leave, holidays, or other purposes • Live Better U Walmart-paid education benefit program • Tuition, books, and fees completely paid for eligible education programs • Annual or quarterly performance bonuses • Stock
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