Position Summary...

What you'll do...

Senior Manager, Software Engineering - Search ML Infrastructure

As a Senior Engineering Manager on the Walmart International Search ML Infrastructure team, you will be responsible for leading and managing a team of data platform engineers and ML engineers in building foundational platforms that power ML and search capabilities across all international markets. You will partner closely with data science teams, search engineering, Product, and international stakeholders to ensure we build scalable, multi-tenant, and high-performance infrastructure that accelerates time-to-market for ML models and enables data-driven decision making at global scale.

About Team:
Focusing on customer, associate and business needs, this team works with Walmart International, which includes more than 5,200 retail units, operating in 23 countries such as Canada, Central America, Chile, China, India, Mexico and South Africa to name a few. The Search ML Infrastructure team owns the foundational data pipelines, ML serving infrastructure, evaluation platforms, and experimentation frameworks that enable search and ML capabilities across all international markets.

What you'll do:

Provide guidance and lead a team of data platform engineers and ML engineers to build quality ML infrastructure solutions that process omni-channel engagement data, serve ML models at scale, and enable sophisticated evaluation and experimentation frameworksEnsure Software Quality Engineering by keeping the engineers up to date on best practices for ML operations, automated testing for data pipelines and ML systems, comprehensive monitoring and alerting, and taking a proactive approach to production ML infrastructure supportDevelops and implements ML platform development strategies using Agile development processes by using iterative and incremental development processes; collaborating between self-organizing, cross-functional teams for requirements and solutions; and promoting adaptive planning, evolutionary development and delivery for rapid and flexible response to changing ML and data science needsDrives the execution of multiple ML infrastructure initiatives and projects by identifying data science team pain points and operational needs; developing and communicating technical roadmaps and priorities; removing barriers and obstacles that impact ML model deployment speed; providing resources and technical guidance; identifying performance standards for data pipelines and ML systems; measuring progress and adjusting performance accordingly; developing contingency plans for production ML systems; and demonstrating adaptability and supporting continuous learningWork closely with data science teams, search engineering leads, international market stakeholders, and Product teams to ensure ML infrastructure work is aligned with business objectives and accelerates ML model time-to-marketOwn end-to-end ML infrastructure including parsers/stitchers for omni-channel data, multi-tenant data pipelines, feature engineering platforms, model serving infrastructure, evaluation systems (including site crawling, query sampling, NDCG evaluation), and experimentation frameworks

What you'll bring:

Strong senior level engineering leadership expertise in medium to large size technology companies with focus on ML infrastructure, data platforms, or search systems12+ years of total experience of which 8+ years in ML infrastructure, data platform engineering, or platform development with hands-on technical contributions12+ years of hands-on experience with data pipeline technologies (Apache Kafka, Apache Spark, Apache Flink, Apache Airflow), distributed data processing, and real-time streaming systemsExpert-level hands-on experience with ML model serving infrastructure (TensorFlow Serving, MLflow, Kubeflow), feature engineering platforms, and multi-tenant ML operations at scaleExtensive experience with containerization technology (Kubernetes, Docker), microservices architecture, and distributed computing for ML workloadsPrior hands-on development experience in Python/Java/Scala for building data pipelines, ML serving systems, and evaluation frameworks at enterprise scaleDeep technical knowledge of cloud platforms (AWS, GCP, Azure) with focus on ML services, managed data services, and infrastructure automationProven experience in hiring and mentoring world-class data engineering and ML engineering teamsLeading large scale ML infrastructure systems in fast-paced, multi-market environmentsExperience with A/B testing frameworks, statistical analysis, search evaluation metrics (NDCG, MAP, MRR), and experimentation platformsHands-on experience with monitoring and observability tools (Prometheus, Grafana, ELK stack) for data pipelines and ML systemsExperience in working in large, distributed teams using CI/CD for ML operations and agile methodologiesExcellent oral and verbal communication skills with ability to collaborate across international markets and technical stakeholdersBS or MS degree in Computer Science, Data Engineering, or a related technical field and 12+ years of industry experience

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 experts and service professionals within the world's leading retailers 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 on a scale that impacts 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 the location barriers across our global team and 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 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 unique styles, experiences, identities, ideas and opinions -- while being inclusive of all people.

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 responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

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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The annual salary range for this position is $143,000.00-$286,000.00

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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 5 years’ experience in software engineering or related area. Option 2: 7 years’ experience in software engineering or related area.
2 years’ supervisory experience.

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, computer engineering, computer information systems, software engineering, or related area and 3 years' experience in software engineering or related area., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Primary Location...

1395 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America