Staff, Software Engineer - Backend (AdTech)

Position Summary

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What you'll do...

There are millions of customers shopping on Walmart websites and in stores daily, and advertising helps advertisers bring the best products to our customers.

If you want to influence millions of customers on their shopping journeys, we have a role for you. This team in advertising serves as the horizontal data foundation for various applications.

We build extremely large-scale data sets, process them using distributed systems, and enrich them with intelligent insights.

As a staff engineer in the team, you will play a key role in collaborating with multiple engineering teams and cross-functional teams to understand the business needs and propose the most suitable engineering solutions.

You will also lead in researching, designing, implementing, and reviewing the platform and products. Additionally, you will mentor and coach the team, ensure the best engineering practices are followed, and hold the team accountable.

About The Team

Walmart's Advertising Technology data team owns and drives the foundational data platform for targeting and measurement systems.

The team is the custodian of all the business data and metrics, and the guarantor of their fidelity and completeness. The team charter is to provide interfaces and guidance for all aspects of advertising data.

We are a team of data engineers whose strengths are :

• Building scalable data pipelines
• Exposure to machine learning techniques and data science
• Making sense of broadly defined problems through data analysis

What You'll Do

• Lead the discovery phase of large software engineering projects by collaborating with cross-functional teams to determine project strategy;
• interpreting strategy into sustainable architecture and solutions; identifying short- and long-term solutions and timelines;

driving prototype development to ensure concept feasibility.

• Act as Tech Lead for the core data platform focused on bringing in data from different sources and making this data available in different forms to downstream teams.
• Identify opportunities at the engineering and product side and influence leaders and engineers to solve high-impact problems.
• Partner cross-functionally with Product, Data Science, and other Engineering Managers to understand the data landscape and influence methodology choices.
• Partner across the Engineering organization to establish strategic plans and objectives to improve the mean time to detect and mean time to restore.
• Lead project teams for engineering projects by providing direction regarding architecture and design; providing guidance regarding project issues or roadblocks;

reviewing and approving proposed solutions; implementing new architectural patterns; and performing design and code reviews of changes to ensure stability and scalability of the platform.

Conduct root-cause analysis of complex problems involving multiple parties, networks, hardware, and software that relate to scaling and performance.

What You'll Bring

• 7+ years of experience in software development, ideally focusing on distributed applications, system integrations, and big data management.
• Leadership experience in solutions architecture and design.
• 5+ years of experience in building and managing large-scale distributed, scalable, highly available, and fault-tolerant systems.
• Proficient in Scala, Java, or Python, Spark, HQL, and SQL.
• Deep knowledge of the Hadoop ecosystem, including HDFS, Hive, MapReduce, Presto, etc.
• Strong experience with near real-time stream processing (Micro-services, Spark, Flink, Storm, and Kafka Connect) at scale.
• Experience in messaging systems such as Kafka.
• Excellent communication and leadership skills.
• Exceptional analytical-reasoning and problem-solving skills.
• Ability to manage multiple projects and prioritize tasks effectively.

Preferred Qualifications

• Familiarity with public cloud technologies in Google Cloud Platform, especially BigQuery, GCS, and Dataproc.
• Experience with ETL pipelines.
• Experience in the advertising domain (AdTech).
• Familiarity with workflow management systems like Airflow or Oozie.
• Experience with enterprise monitoring and alerting solutions like Prometheus, Graphite, alerts manager, and Splunk.

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 retailer who make an epic impact and are at the forefront of the next retail disruption.

We are people-led and tech-empowered. We train our team in the skill sets of the future and bring in experts like you to help us grow.

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.

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.

Minimum Qualifications

Outlined below are the required minimum qualifications for this position :

• 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

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

Primary Location

860 W California Avenue, Sunnyvale, CA 94086-0000, United States of America

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