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.

Immigration support is not provided for these role

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.
• Collaborating 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 large scale distributed systems with scalability 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.
• You have 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 building datasets, tools, and services supporting big data and analytics operations.
• 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.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

About 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 that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives.

Benefits & Perks:

Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, 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.

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
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You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
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For information about PTO, see https://one.walmart.com/notices .

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Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
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Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
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For information about benefits and eligibility, see One.Walmart .

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Sunnyvale, California US-08479:The annual salary range for this position is $143,000.00-$286,000.00
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Bentonville, Arkansas US-10735:The annual salary range for this position is $110,000.00-$220,000.00
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Additional compensation includes annual or quarterly performance bonuses.
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Additional compensation for certain positions may also include:
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- Stock
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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: 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.Option 2: 6 years' experience in software engineering or related area.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Master's degree in Computer Science or related field and 3 years' experience in software engineering

Primary Location...

640 W California Avenue, Sunnyvale, CA 94086-4828, United States of America