Senior Software Engineer - AI/ML & Scalable Data Pipelines

Walmart; Sunnyvale (CA); On-site; USD 117,000 - 234,000; Full time

Benefits offered by this job

Health benefits

401(k) matching

Stock purchase plan

Paid time off

Job summary

Walmart in Sunnyvale, CA is seeking a Senior Software Engineer to lead the delivery of scalable, secure software, managing feature development, testing, and ongoing support within collaborative teams.

You will design data pipelines, implement in Scala, Spark, Python, and Java on GCP Dataproc, integrate AI/ML, and drive CI/CD, code quality, and operational excellence. This role mentors peers and aligns with business goals for high-performance systems.

Qualifications

• Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area.
• 3 years’ experience in software engineering or related area.
• Preferred: 5 years’ experience in software engineering or related area.

Responsibilities

• Own delivery of scoped features and models through collaborative engineering teams.
• Design, develop, test, and maintain data pipelines and platform services.
• Integrate AI and machine learning components to enhance software capabilities.
• Conduct design reviews and apply scalable software design principles.
• Perform code reviews, debugging, and continuous integration to ensure high-quality deliverables.
• Monitor performance and drive reliability improvements across global markets.

Skills

Scala

Python

Java

Spark

PySpark

CI/CD

Data pipelines

Machine learning

GCP Dataproc

Education

Bachelor's degree in Computer Science, Computer Engineering, or related area

Master’s degree in Computer Science or related field

Tools

GCP Dataproc

Airflow

Kafka

Cassandra

Kubernetes

Job description

Walmart in Sunnyvale, CA is seeking a Senior Software Engineer to lead the delivery of scalable, secure software, managing feature development, testing, and ongoing support within collaborative teams.

You will design data pipelines, implement in Scala, Spark, Python, and Java on GCP Dataproc, integrate AI/ML, and drive CI/CD, code quality, and operational excellence. This role mentors peers and aligns with business goals for high-performance systems.