SENIOR SOFTWARE ENGINEER

Walmart Stores SUNNYVALE, CA

About the Job

Position Description


  • Demonstrates up-to-date expertise in Software Engineering and applies this to the development, execution, and improvement of action plans
  • Leads and participates in medium- to large-scale projects
  • Leads the discovery phase of medium to large projects to come up with high level design
  • Leads the work of other small groups of four to six engineers, including offshore associates, for assigned Engineering projects
  • Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity
  • Provides and supports the implementation of business solutions
  • Provides support to the business
  • Troubleshoots business and production issues


#LI-DC

Minimum Qualifications


* Master's or Doctoral degree in one of : Math, EE, Computer Engineering or Computer Science
* 2+ years of programming experience in imperative or functional paradigms
* programming skill in hadoop|spark|hive|related
* unix programming or scripting (python/sh)

Additional Preferred Qualifications


* helpful (one or more of) : statistics, linear algebra, compilers, information-retrieval

Company Summary


Walmart Global eCommerce is comprised of Walmart.com, VUDU, SamsClub.com, and our technical powerhouse @WalmartLabs. Here, innovators incubate next gen e-commerce solutions in real-time. We integrate online, physical, and mobile shopping experiences for billions of customers around the globe. How do we do it? We continuously build and invest in new technology including open source tools and big data innovations. Data scientists, front and back-end engineers, product managers, and web and UX/UI teams collaborate alongside e-commerce experts to envision, prototype, and bring revolutionary ideas to life in a dynamic, flexible and fun work culture.

Position Summary


Our team works on all Walmart customer data - online, stores and off-network. We build the data pipelines and statistical data models to process millions of customer events.
We work on the data that makes machine learning work outside the lab.
We're proud that our work helps customers save money and live better.