Jobs at Walmart Global Tech

Lead the architecture, development, and operation of Walmart’s highly scalable, low-latency order service platform. Drive distributed systems, search, indexing, event-driven architecture, reliability, modernization, and performance initiatives. Own services through production, partner across product and engineering teams, mentor engineers, lead design reviews and root-cause analysis, and establish technical standards and long-term architecture.

Design, build, and scale backend services, APIs, automation frameworks, and GenAI-powered engineering tools. Develop automated testing for backend, web, and native mobile platforms; monitor system performance; troubleshoot defects; and improve engineering productivity, quality governance, and operational excellence across large-scale supply chain and eCommerce systems.

Leads the design and delivery of scalable platform capabilities across the full software development lifecycle. Designs cloud-native, resilient systems; develops AI-driven applications; contributes to infrastructure, tooling, APIs, and machine learning frameworks; conducts system design reviews; and drives coding, testing, deployment, observability, and maintenance. Mentors engineers, influences technical decisions, collaborates with stakeholders, and advances engineering practices through continuous improvement and data-driven decision-making.

Manages partnerships with small-to-mid-sized retail accounts by executing account strategies, analyzing sales and operational performance, developing KPIs and improvement plans, and driving partner growth. Builds long-term relationships, identifies business opportunities, supports pipeline development, collaborates cross-functionally, and provides informal mentorship. The role emphasizes data-driven performance optimization, operational efficiency, and strategic partner success.

Leads global technology readiness and market expansion for a gig platform. Assesses jurisdictional complexity, develops scalable capability plans and expansion playbooks, coordinates cross-functional launch readiness, identifies risks and dependencies, and supports go/no-go decisions. The role establishes global-versus-local operating models, drives reusable capabilities, and influences senior stakeholders across Finance, Product, Engineering, Legal, Tax, Compliance, and Operations.

Leads the design, development, deployment, and operation of scalable machine learning systems, with emphasis on automated research capabilities for model training, optimization, experimentation, and evaluation. Builds reliable ML services, APIs, and data pipelines; applies MLOps practices such as CI/CD, model versioning, monitoring, and retraining; ensures governance and security compliance; and mentors cross-functional engineering and data science teams.

Leads strategic talent acquisition for AI, Product, and Design functions. Develops workforce and hiring strategies, advises executives on capability needs, manages labor-market insights, builds high-performing recruiting teams, forecasts hiring demand, improves recruitment processes and technology use, and addresses capability gaps supporting organizational growth and transformation.

Leads development of scalable software features and AI/ML integrations across the full software lifecycle. Responsibilities include coding, system design, testing, CI/CD, debugging, code reviews, performance monitoring, stakeholder collaboration, technical requirements, and ongoing support. The role also mentors peers, promotes engineering best practices, and delivers Java- and Node.js-based services using REST and GraphQL APIs.

Leads development of scalable backend and platform capabilities across the full software lifecycle. Designs cloud-native systems, APIs, infrastructure, tooling, and ML frameworks; integrates AI/ML applications; conducts system design reviews; and ensures deployment, observability, and maintenance. Mentors engineers, influences technical decisions, collaborates with stakeholders, and applies data-driven practices to improve engineering productivity and product outcomes.

Leads Walmart Business’s SEO, AEO, and affiliate marketing strategy across traditional and AI-powered search. Owns technical roadmaps, experimentation, performance measurement, KPIs, and scalable optimization. Partners with Product, Engineering, Analytics, Content, Marketing, and Merchandising to define requirements and deliver growth initiatives. Manages agency and vendor partners, monitors search trends, and communicates business impact and recommendations to senior leadership.

Design and operate high-throughput, low-latency backend services for Walmart’s offer-selection and pricing systems. Build Kafka, Flink, BigQuery, and Airflow pipelines; productionize machine-learning models; conduct experimentation and A/B testing; and develop reliability and analysis tooling. Lead technical designs, code reviews, deployments, and cross-functional discussions across Search, Product Pages, and Recommendations.

Leads Walmart’s Agentic Advertising strategy, developing AI-powered advertising products, agent-to-agent commerce capabilities, ecosystem partnerships, experimentation frameworks, measurement systems, and scalable platforms. Defines multi-year vision, builds cross-functional alignment, influences senior executives, and creates a high-caliber product organization focused on customer trust, advertiser outcomes, responsible AI, and new advertising business models.

Leads delivery of complex software, data, and AI/ML systems, overseeing architecture, deployment, monitoring, maintenance, reliability, and scalability. Directs backlog prioritization, capacity planning, cloud cost optimization, and DevOps practices. Aligns technology roadmaps with product and organizational priorities, manages cross-functional dependencies, and supports AI/ML-enabled features. Builds high-performing engineering teams through mentorship, coaching, and professional development while driving continuous improvement and stakeholder collaboration.

Develops scalable cloud-native platform capabilities across the full software lifecycle, including design, coding, testing, deployment, monitoring, and maintenance. Builds AI-driven applications, integrates machine learning frameworks, leads design reviews, and applies API, microservices, containerization, and DevOps practices. Provides technical leadership and mentorship while collaborating with stakeholders, defining requirements, tracking metrics, and continuously improving engineering processes and products.

Leads development of scalable platform capabilities, infrastructure, tooling, and AI/ML frameworks. Designs cloud-native systems, develops APIs and backend services, and manages the full software lifecycle from coding through monitoring and maintenance. Conducts design reviews, integrates intelligent automation, mentors engineers, influences technical decisions, and collaborates with cross-functional stakeholders to deliver resilient, secure, and high-quality solutions.

Lead delivery of scalable software features and AI/ML-integrated models. Design, develop, test, debug, and maintain software using Java, JavaScript, and Python while driving CI/CD, automated testing, observability, and performance improvements. Collaborate with stakeholders, conduct code reviews, evaluate technical trade-offs, mentor peers, and support secure, maintainable platform solutions.

Leads hands-on design, development, testing, deployment, and operation of scalable cloud-native AI-powered software systems. Drives architectural integrity, reliability, DevOps, CI/CD, observability, automation, and continuous improvement. Provides technical leadership through code reviews, architectural decisions, debugging, cross-team collaboration, and mentorship while delivering enterprise-scale Marketplace platform solutions.

Leads strategic ad partnership programs by managing relationships, negotiating agreements, overseeing budgets and financial analysis, renewing contracts, improving processes, and driving cross-functional execution. The role also develops team members through coaching and performance management while evaluating initiatives, removing obstacles, and delivering measurable business value.

Owns cross-functional Marketplace Payments and Financial Services programs, driving seller adoption, product launches, operational execution, performance tracking, risk management, and process improvement. Partners with Product, Operations, Risk, and stakeholder teams to scale financial products, improve seller experiences, and deliver business objectives. Uses data and AI-enabled tools to identify opportunities and increase operational efficiency.

Leads strategy and execution for complex e-commerce fulfillment and express-delivery products. Owns product vision, roadmaps, lifecycle management, customer discovery, prioritization, experimentation, go-to-market strategy, and stakeholder alignment. Uses analytics and customer insights to drive measurable outcomes, influences technical direction with Engineering, integrates AI-powered features, and mentors product managers. The role supports global Walmart and Sam’s Club capabilities and requires strong cross-functional leadership.