Walmart

Data Scientist

• Design and deploy production-scale AI/ML solutions across risk intelligence, investigations, document intelligence, anomaly detection, entity resolution, graph analytics, forecasting, optimization, and agentic AI
• Build end-to-end capabilities spanning data preparation, modeling, evaluation, deployment, monitoring, and continuous improvement
• Partner with Engineering and Product on architecture, reusable AI services, and build-vs-buy decisions
• Establish strong evaluation and Responsible AI practices
• Mentor other data scientists
• Contribute to technical standards and platform strategy across Global Governance
• Translate high-value governance and risk problems into scalable AI solutions
• Develop reusable patterns that improve speed, quality, and measurable business outcomes

Principal Data Scientist

• Define AI/ML strategy across Global Governance
• Lead development of production-scale AI solutions for risk intelligence, investigations, anomaly detection, computer vision, graph analytics, optimization, and agentic AI
• Architect reusable AI platforms and patterns
• Establish evaluation and Responsible AI standards
• Influence build-vs-buy and long-term technology decisions
• Partner with Business, Product, Engineering, and Data Science from problem framing through deployment and measurable outcomes
• Mentor senior scientists and engineers
• Drive best practices in experimentation, model validation, MLOps, observability, explainability, and enterprise AI governance
• Shape Walmart’s AI/ML vision for Global Governance across security, compliance, privacy, legal, product safety, trade compliance, and related domains

Distinguished Data Scientist

• Apply and develop statistical modeling, optimization, and machine learning techniques
• Develop efficient and scalable models at Walmart scale
• Collaborate with business, engineering, and science counterparts to solve business problems
• Define model goodness metrics and track business impact over time
• Present complex-analysis recommendations clearly to business partners
• Continuously improve data science and machine learning using industry best practices and current research
• Integrate data science solutions into business processes
• Develop machine learning process standards and best practices for retail
• Consult with stakeholders across stores and e-commerce on algorithm-based recommendations
• Participate and speak at research conferences and technical summits
• Support company policies, mission, values, ethics, and integrity

Data Scientist III

Full-stack Engineer

• Architect and build large-scale personalization systems, including real-time recommendation engines, feature stores, ML model-serving pipelines, and experimentation platforms
• Design systems handling millions of concurrent requests with p99 latency below 100ms across international markets
• Set architectural direction and define best practices for the P13N platform
• Conduct design reviews and champion observability, reliability, SLOs, error budgets, chaos testing, and production excellence
• Partner with Data Science and ML Engineering to productionize models and optimize inference pipelines
• Build A/B testing infrastructure and connect offline training with online serving
• Collaborate with Product, Platform, SRE, and partner teams across US and international markets
• Translate personalization strategy into technical roadmaps and measurable business outcomes
• Mentor senior and mid-level engineers through pairing, design sessions, and code reviews
• Raise the technical bar and foster learning, experimentation, and continuous improvement

Staff Software Engineer

• Lead end-to-end delivery of backend services, data pipelines, AI workflows, access governance, and secure web applications
• Collaborate with engineering, product, and legal business teams in an Agile environment
• Mentor engineers and design, build, test, and deploy automation solutions at Walmart scale
• Design, develop, and deliver agentic AI workflows, automation, and access-governance systems for Walmart’s Legal technology ecosystem
• Contribute to the vision and design of web and mobile products
• Deliver platform capabilities including infrastructure, tooling, and ML frameworks such as CI/CD, SDKs, model runtimes, and feature stores
• Align development efforts with roadmap milestones and domain priorities
• Apply cloud-native architecture principles including microservices, containers, and automation
• Perform root cause analysis and identify process-improvement opportunities
• Analyze, test, and validate programs before formal launch
• Develop and enforce software-security practices for access governance, data privacy, and secure sharing of sensitive legal information
• Measure and improve product, operational, and portfolio performance using metrics and KPIs
• Collaborate with Walmart engineering teams across geographies and contribute to the broader technology community
• Stay current with emerging AI/ML-driven workflow automation technologies and champion valuable adoption

• Lead architecture and detailed design for complex, distributed, and highly integrated systems
• Establish engineering standards, reusable patterns, and best practices across software, APIs, automation, and AI/ML capabilities
• Lead technical design reviews and influence engineering decisions across teams and organizations
• Identify opportunities to simplify, modernize, and standardize the technology landscape
• Mentor engineers and raise the technical capabilities of the broader engineering organization
• Build intelligent workflows for change request creation, risk assessment, approval routing, scheduling, validation, and verification
• Develop services and automation that improve change success, failure, and health metrics through instrumentation and data-driven engineering
• Apply modular architecture, automated testing, observability, security, and operational readiness
• Design event-driven and API-based architectures for reliable, scalable system-to-system integration
• Build automation for pre-change validation, dependency and impact analysis, risk assessment, and post-change verification
• Maintain data consistency, integrity, lineage, and traceability across enterprise systems
• Enable ingestion and retrieval of topology, configuration, policy, incident, and operational data
• Develop reusable integration patterns and platform capabilities
• Architect and integrate AI/ML and LLM-based capabilities into enterprise engineering workflows
• Apply anomaly detection, classification, recommendation systems, risk scoring, and LLM-based reasoning
• Implement retrieval, grounding, context management, and evaluation strategies for LLM applications
• Establish guardrails, observability, evaluation, and fallback mechanisms for production AI systems
• Partner with engineering, product, architecture, and operations stakeholders to move AI capabilities into enterprise-scale production
• Design for high availability, fault tolerance, scalability, and graceful degradation
• Establish SLOs, SLIs, observability, alerting, and operational practices for critical services
• Identify and resolve performance bottlenecks across applications, APIs, data stores, and distributed systems
• Drive improvements based on production telemetry, incidents, and operational trends
• Ensure failure handling, resiliency, recovery, and rollback strategies

Software Engineer

• Drive execution of multiple business plans and projects by identifying customer and operational needs
• Develop and communicate business plans and priorities; remove performance barriers and provide resources
• Identify performance standards, measure progress, adjust performance, and develop contingency plans
• Provide supervision and development opportunities for associates through selection, training, mentoring, assignment of duties, team building, performance expectations, evaluations, recognition, coaching, and promotion of belonging
• Architect, design, develop, and implement large-scale distributed systems processing large volumes of data
• Focus on scalability, latency, efficiency, and fault tolerance
• Own vaguely defined major business problems or product visions and translate them into technical designs and roadmaps
• Participate in setting team vision and objectives aligned with business and market needs
• Establish best practices and architecture using deep domain knowledge
• Drive creation and modification of product portfolio components and coordinate technical resources
• Ensure solutions align with Walmart architecture, design, and development standards
• Stay current with development tools, technologies, patterns, and methodologies; share knowledge with stakeholders
• Work with engineers, product managers, engineering leaders, and distributed teams to identify business impact opportunities
• Build data pipelines and data lakes to prepare big data for analysis and unlock real-time insights for Walmart supply chain and forecasting

Infrastructure Engineer

• Design and develop scalable telephony and CCaaS solutions using SIP, SBCs, media servers, WebRTC, softphones, and telephony services
• Architect call flows and call-control solutions for IVR, routing, queueing, transfers, conferencing, recording, and agent interactions
• Design routing and queueing capabilities including skills-based routing, priority routing, longest-idle strategies, and agent workload management
• Design resilient distributed systems with high availability, disaster recovery, fault tolerance, and multi-region deployment strategies
• Develop APIs and event-driven integrations with CRM, workforce management, analytics, recording, and third-party communication platforms
• Troubleshoot complex SIP signaling, media, networking, and distributed-system issues across production environments
• Drive performance engineering, capacity planning, observability, automation, and operational improvements for high-volume contact center platforms
• Collaborate across engineering, infrastructure, network, and business teams to deliver reliable customer engagement platforms

Staff Systems and Infrastructure Engineer

Data Analyst

• Identify and validate data sources aligned with business requirements and quality standards
• Use SQL, Power BI, Dataiku, and BigQuery to manipulate, analyze, and visualize large datasets
• Translate complex business problems into data-driven solutions using advanced analytics and statistical methods
• Develop and maintain dashboards and visualizations for stakeholders
• Collaborate with cross-functional teams to align data strategies with organizational goals
• Apply data governance and management principles to support compliance and accessibility
• Support Investigations, Legal, and Compliance functions through advanced analytics and scalable data solutions
• Transform data into actionable insights to enhance risk management, investigative efforts, and organizational decision-making

Senior Data Analyst, Health and Wellness Analytics

Engineering Manager

• Lead technically through architecture discussions, design reviews, and critical technical decisions
• Own and drive end-to-end technical design of scalable, reliable, and maintainable services and platforms
• Mentor and grow engineers through code reviews, design critiques, and engineering deep-dives
• Identify and resolve technical debt, performance bottlenecks, and reliability risks
• Set and enforce standards for code quality, test coverage, observability, and operational excellence
• Drive adoption of distributed-systems patterns including event-driven architecture, eventual consistency, and resilient service mesh
• Engineer systems for resilience in low-bandwidth, high-latency environments
• Attract, hire, and retain strong individual contributors and build an engineering-excellence culture
• Evaluate and champion technology choices for long-term platform health
• Ensure delivery with pace, quality, and engineering depth
• Build scalable, cloud-native platforms powering Walmart retail and eCommerce experiences across Africa
• Own systems supporting omni-channel commerce, supply chain, customer returns, and fulfilment

Senior Manager, Software Engineering

• Code, unit test, and build high-performance, scalable applications for Walmart International customers
• Design, develop, implement, and document software solutions
• Support the Seller Onboarding journey for Walmart Global Marketplace
• Interact with Walmart engineering teams across geographies and contribute to the technology community
• Collaborate with Product Management and Business to set priorities and deliver products
• Design and build enhanced processes and technical solutions supporting strategic initiatives
• Work with architects and cross-functional teams to deliver solutions meeting Quality, Cost, and Delivery standards
• Create high-level and low-level designs with engineering teams
• Drive design discussions and technical decisions

• Code, unit test, and build high-performance, scalable applications serving Walmart International customers
• Design, architect, and deliver one or more systems/products end to end
• Collaborate with cross-functional teams
• Estimate effort, identify risks, prioritize work, and devise and meet project schedules
• Improve sustainable engineering practices, code quality, documentation, testing, and monitoring
• Build and maintain systems compliant with certification, regulatory standards, and information-security programs
• Ensure highly scalable, extensible, and high-performing product architecture and implementations
• Analyze and test programs/products before formal launch
• Suggest extensions of current systems to new products and services
• Ensure on-schedule delivery of high-quality products meeting business and technical requirements
• Mentor and coach engineers and provide technical leadership
• Build cloud-native warehouse-management and fulfillment systems for Walmart International

Procurement

• Execute Private Brand sourcing strategies for assigned categories, including direct imports for Private Brand and National Brand items
• Develop complex sourcing strategies by collaborating with cross-functional business partners to understand product demand
• Serve as a subject-matter and industry expert for multiple commodities and items
• Oversee sourcing programs at the item level and influence business partners to bring product and packaging innovation to market
• Align sourcing strategy with merchants’ annual operating plans and provide perishability and quality insights for merchandise flow and replenishment decisions
• Incorporate company growth strategies into planning, including growth in direct imports
• Create vendor decision matrices and evaluate new and existing vendors using performance metrics and long-term potential
• Negotiate with vendors to obtain products at the lowest sustainable costs; track awarded costs against actual costs and ensure cost keys are accurate
• Inform planners and merchants of changes affecting cost of goods
• Develop strategic vendor relationships and multi-year contracts for business continuity
• Identify, develop, and maintain supplier relationships meeting financial, ethical, and sustainability standards
• Assess and develop vendor capabilities, conduct quarterly performance reviews, and resolve vendor issues
• Drive execution of business plans and projects, remove barriers, provide resources, and develop contingency plans
• Supervise and develop associates, promote company policies and values, and evaluate current plans, programs, and initiatives
• Support community outreach events
• Lead category strategy plans, long-term business plans, and prioritized strategic initiatives
• Develop internal and external partnerships and networks and lead community outreach and involvement initiatives

Senior Manager, Sourcing

• Architect, develop, and maintain large-scale distributed systems supporting millions of users and transactions
• Own features end-to-end from design through deployment
• Collaborate with product managers, designers, and cross-functional engineering teams to translate business requirements into technical solutions
• Identify performance bottlenecks, troubleshoot production issues, and ensure system availability
• Contribute to CI/CD pipelines, automated testing frameworks, and DevOps practices
• Introduce technologies, frameworks, and architectural improvements to enhance efficiency and scalability
• Use metrics, logging, and monitoring to optimize system performance and user experience
• Build platforms and services enabling third-party sellers and suppliers to list, sell, and manage products on Walmart.com and in Walmart Stores
• Maintain catalog and item information as a single source of truth for high-volume data

Software Engineer III

Product Manager

• Lead end-to-end product development across assigned bedding categories, from product briefs and concept development through sampling, costing, testing, approvals, and commercialization
• Translate consumer insights, market trends, competitive intelligence, and design direction into scalable, commercially successful products and assortments
• Establish product specifications, technical requirements, and performance standards
• Reduce development iterations, improve first-pass approvals, and accelerate speed to market
• Partner with Design on product aesthetics, materials, finishes, construction, functionality, and customer appeal
• Manage development timelines
• Collaborate with Design, Merchants, Sourcing, Quality, Packaging, Site Experience, supplier partners, and other cross-functional teams
• Ensure on-time execution and consistent product experience from product to packaging and digital presentation
• Shape bedding assortments combining style, quality, performance, innovation, and value

Principal Data Scientist

Distinguished Data Scientist

Data Scientist III

Staff Software Engineer

Staff Software Engineer

Staff Software Engineer

Software Engineer

Staff Systems and Infrastructure Engineer

Senior Data Analyst, Health and Wellness Analytics

Senior Manager, Software Engineering

Staff Software Engineer

Senior Manager, Software Engineering

Senior Manager, Sourcing

Software Engineer III

Manager, Product Development – Bedding