Posted:
8/26/2024, 2:34:37 AM
Location(s):
Indianapolis, Indiana, United States ⋅ Karnataka, India ⋅ Indiana, United States ⋅ Bengaluru, Karnataka, India
Experience Level(s):
Mid Level ⋅ Senior
Field(s):
AI & Machine Learning ⋅ Software Engineering
Workplace Type:
Hybrid
About Advertising Technology:
Ever wondered what would a convergence of online and offline advertising systems looks like? Ever wondered how we can bridge the gap between sponsored search, display, video ad formats? Ever thought how we can write our own ad servers which serve billions of requests in near real time?
Our Advertising Technology team is building an end-to-end advertising platform that is key to Walmart’s overall growth strategy. We use cutting edge machine learning, data mining and optimization algorithms to ingest, model and analyze Walmart’s proprietary online and in-store data, encompassing 95% of American households. Importantly, we build smart data systems that deliver relevant retail ads and experiences that connect our customers with the brands and products they love.
What you'll do –
What you'll bring:
Mandatory Skills
Kafka, Distributed Database, Big Data Knowledge, Java /Scala
About Walmart Global Tech
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
Flexible, hybrid work
We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our personal lives.
Benefits
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
Equal Opportunity Employer:
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Minimum Qualifications:Option 1: Bachelor's degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 2years’ experience in software engineering or related area at a technology, retail, or data-driven company.Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Certification in Security+, Network+, GISF, GSEC, CISSP, or CCSP, Master’s degree in Computer Science, Information Technology, Engineering, Information Systems, Cybersecurity, or related areaWebsite: http://www.walmart.com/
Headquarter Location: Bentonville, Arkansas, United States
Employee Count: 10001+
Year Founded: 1962
IPO Status: Public
Last Funding Type: Post-IPO Debt
Industries: E-Commerce ⋅ Grocery ⋅ Retail ⋅ Retail Technology ⋅ Shopping