Jobs at Walmart Global Tech

Build and maintain scalable, production-quality services and front-end features using Java, Spring Boot, React, and cloud platforms. Collaborate with product and partner teams, perform code reviews and automated testing, troubleshoot defects and performance issues, and monitor application health using telemetry and CI/CD tooling.

Lead design and delivery of scalable, cloud-native platform capabilities with AI/ML integration. Drive full SDLC (coding, testing, CI/CD, deployment, monitoring), conduct system design reviews, mentor engineers, influence technical decisions, and collaborate cross-functionally to meet roadmap and performance metrics.

Senior individual contributor leading enterprise product vision and strategy across multiple portfolios. Drive customer-centric discovery, design thinking, and data-driven prioritization. Oversee roadmaps, lifecycle management, governance, and cross-functional execution. Guide analytics, evaluate emerging technologies including AI, influence C-suite stakeholders, and mentor senior product leaders to build organizational product capability and standards.

Design, develop, test, and maintain scalable Android applications using Kotlin and modern Android frameworks. Collaborate with Product, UX, and Engineering; follow MVVM/Clean Architecture; write unit tests; support CI/CD and releases; troubleshoot production issues; implement telemetry and performance monitoring; and leverage AI-assisted development tools to improve code quality and efficiency.

Lead high-impact, cross-functional initiatives to improve marketplace discoverability. Translate strategy into prioritized tech roadmaps, manage budgets and risks, deliver revenue-generating solutions, and use data analytics and competitive insights to guide product and engineering decisions while influencing stakeholders and aligning teams.

Lead strategic workforce planning and talent sourcing for technical roles, manage multiple recruiting projects, and align hiring strategies with business goals. Use data analytics and digital tools to optimize processes, coach and develop team members, and partner with stakeholders to improve candidate experience and hiring outcomes.

Design, implement, and scale high-throughput supervised fine-tuning pipelines for foundation models. Optimize hyperparameters, drive model alignment (RL/RLHF), ensure data quality, build visualizations, deploy and monitor models in production, and mentor junior team members to deliver ML-driven business impact for e-commerce use cases.

Lead product strategy and roadmaps for Membership Personalization, using customer insights, design thinking, data and AI analytics. Manage full product lifecycle, balance technical architecture and risks, drive cross-functional alignment, mentor product managers, and use metrics (including NPS) to optimize member growth, engagement, and retention.

Lead product strategy across a major portfolio, drive customer and data-driven discovery, define multi-year vision, manage roadmaps and lifecycle, influence senior stakeholders, mentor product teams, and apply analytics and AI to deliver scalable retail solutions.

Lead enterprise data science and GenAI initiatives end-to-end: identify opportunities, design experiments, build and deploy scalable ML/LLM solutions, define success metrics, ensure model quality and monitoring, and influence executive stakeholders to drive measurable business impact across retail and supply chain.

Lead development and execution of strategic talent acquisition for senior engineering and technical leaders. Manage and coach recruiters, drive data-driven sourcing and market intelligence, optimize recruiting processes and candidate experience, lead stakeholder negotiations, implement digital recruiting tools and agile hiring projects, and align workforce planning with business objectives.

Lead and coordinate cross-functional M&A integration efforts, drive program management, build scalable governance and operating processes, create executive communications and KPI dashboards, leverage automation and AI tools, enable Day 1 readiness and long-term value realization, and support broader business strategy and financial analyses across Walmart Connect.

Lead AI strategy and operationalization by identifying high-impact AI and automation opportunities, building prioritization frameworks, running AI sprints, defining ROI metrics, and partnering with business, product, engineering, and operations to scale solutions and influence senior leadership.

Design, build, and scale high‑scale backend services, automation frameworks, and GenAI‑powered tools. Develop REST APIs, CI/CD pipelines, and end‑to‑end automation for web and native mobile. Drive quality engineering, monitoring, defect management, and cross‑functional improvements to boost engineering productivity.

Lead a team to design, build, and deploy production-grade end-to-end AI systems (generative AI, agentic intelligence, recommendation, measurement/causal inference). Drive technical strategy, mentor data science and engineering teams, and align AI roadmap with product, UX, and business stakeholders to deliver supplier-facing insights at scale.

Develop, validate, and deploy scalable predictive models using advanced statistical and machine learning techniques. Perform exploratory data analysis, feature engineering, model validation, and ensure data quality and governance. Collaborate with cross-functional teams to translate business needs into data-driven solutions, support production model scalability, mentor junior associates, and communicate insights via data visualization to influence decisions.

Lead design and delivery of scalable, cloud-native platform capabilities. Architect and implement distributed, data-intensive systems using Scala, Python, and Java. Integrate AI/ML and generative AI, leverage Kafka, Spark, and GCP, apply CI/CD and testing, perform code reviews, monitor performance, troubleshoot production issues, and mentor engineers to drive engineering excellence and developer productivity.

Design, develop, test, and maintain scalable software solutions; troubleshoot production issues and perform root-cause analysis; implement CI/CD and automation; mentor small engineering groups; monitor performance and ensure security and quality while delivering project milestones.

Lead complex, cross-functional technology and operations programs for Marketplace Seller Risk. Define roadmaps, budgets, KPIs, and mitigation strategies; partner with Product, Engineering, Data Science, Compliance, and Business teams to deliver scalable, data-driven solutions that improve marketplace integrity and operational performance.

Lead design, development, testing, and deployment of native Android features and platform capabilities. Integrate AI/ML, build prototypes, manage release and environment configurations, mentor engineers, enforce SOLID/clean architecture, and collaborate with cross-functional teams to deliver scalable payment and financial products.