Teams at Walmart Global Tech

Lead the design, development, deployment, and maintenance of scalable cloud-native platform capabilities for Walmart Connect’s sponsored search advertising infrastructure. Build large-scale data processing systems, pipelines, distributed services, and AI/ML applications using Java, Spark, Kafka, Flink, and GCP. Provide technical leadership, conduct architecture reviews, mentor engineers, collaborate cross-functionally, and drive software quality, resilience, observability, and continuous improvement.

Leads the design, development, and deployment of scalable data platforms and AI applications. Builds cloud-based data pipelines with Python, Scala, Spark, Airflow, and GCP services; ensures data quality, governance, lineage, and modeling. Develops RAG and agentic AI solutions using LangChain and LangGraph, supports SAP e-commerce data flows, monitors pipeline reliability, influences architecture, mentors engineers, and drives cross-functional technical excellence.

Leads the design, development, testing, and delivery of scalable software solutions within Walmart’s data frameworks team. Responsibilities include requirements analysis, architecture and component design, coding, code reviews, debugging, performance monitoring, corrective maintenance, and CI/CD support. The role develops data access frameworks and SDKs for relational, NoSQL, cache, search, and messaging systems while collaborating with stakeholders to deliver secure, maintainable, high-performance applications.