Staff, Software Engineer

As a part of Walmart Global Tech, you will build state of the art personalization and recommendation solutions that will elevate the e-commerce experience of millions of customers. We are looking for a Staff Software Engineer to join the Personalization team under Customer Experience organization. You will be in the unique position to bring a broader impact to the Walmart's customers and associates by building features and solutions that power the ML model inferencing and governance at scale, contributing to highly engaging customer experiences for Walmart customers across channels. If you are someone who feels a personal stake in everything that you work on, has a love for data, enjoys solving complex problems using machine learning engineering, has a passion for privacy, knows how to foster strong relationships and build trust, and works for the success of the entire team then this is just the right place for you. Our team consists of big data geeks, machine learning engineers, application engineers, data scientists, and product visionaries who are passionate about using cutting-edge machine learning, deep learning, reinforcement learning, natural language processing solutions with data at the scale of Walmart to deliver personalization and recommendation products.About the Team:The Personalization team consists of big data geeks, machine learning engineers, application engineers, data scientists and product visionaries all working together to design, prototype and build technology-driven products and experiences that will change the future landscape of e-commerce. We are focused on building an intelligent system that will enable 1:1 personalized customer experience, from finding the product to delivering it to the customer. We are building platforms and data solutions that is used to generate ML features that powers the ML model inferencing, governance, privacy, and analytics at large scale. Our team partners with the data scientists that train state-of-the-art probabilistic models on these ML features to serve our customer needs by leveraging cutting edge machine learning, deep learning, reinforcement learning, natural language processing, entity-relationship extraction, and knowledge representation.What you'll do:Build data-driven platforms and capabilities to power Personalization experiences across site, app, stores, voice commerce.Architect systems and workflows to process and manage petabyte scales of features data.Collaborate with team leads to deliver end-to-end scalable architecture for cross-functional projects.Work closely with business and product stakeholders to define strategy, vision, and roadmap for top initiatives in Personalization and Recommendations.Actively propose, review and present technical solutions including architecture design, implementation details and customer and business impacting KPIs.Actively contribute to the research community through participation at conferences, seminars, and workshops.What you'll bring:At least 4+ years of experience in building large-scale data pipelines using big data technologies like

Apache Spark, Apache Kafka, Cascading, Apache Hive, and Hadoop stack.Experience in

Java or Scala, Python, Bash, and SQL.Experience in architecting and designing large-scale distributed systems that process large volumes of data focusing on scalability, latency, and fault-tolerance.Experience in building systems leveraging tool available in Google Cloud Platform.Experience in multi-cloud production environment deployment and maintenance.Strong experience in debugging, performance tuning, automation, and optimization for scalability and high availability.Exposure to data science and machine learning techniques.You have advanced knowledge of complex software design, distributed system design, design patterns, data structures and algorithms.Experience in building and scaling systems that orchestrate and execute complex workflows in big data leveraging

Apache Spark, Apache Kafka , and Hadoop stack preferably in Google Cloud Platform.Experience in evaluating and fine-tuning systems for speed, robustness, and cost efficiency.Experience in designing ML features and models from structured and unstructured data.Experience in relational SQL and NoSQL databases like Cassandra, AzureSQL, Cosmos.Experience with distributed version control like Git or similar.Familiar with continuous integration/deployment processes and tools such as Jenkins and Maven.Strong written and oral communication skills.Minimum Qualifications:Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 4 years’ experience in software engineering or related area.6 years’ experience in software engineering or related area.Primary Location:640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America

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