(USA) Staff, Software Engineer- Data Venture

Walmart • Bentonville, AR

105d • $110,000 - $286,000

About The Position

As a Staff Software Engineer with a focus on Back-End development, you will architect and build secure, scalable, and resilient systems that process large datasets and power AI/ML-driven applications. Leveraging expertise in Java, Kubernetes, SQL, Kafka, BigQuery, and integrating with Computer Vision & Artificial Intelligence (CVAI) platforms, you will deliver robust solutions supporting next-generation business capabilities.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 10+ years of experience in software engineering, with a strong focus on back-end development and demonstrated experience in technical leadership.
• Expert-level proficiency in Java and microservices architecture.
• Hands-on experience with Kubernetes for orchestrating large-scale, resilient deployments.
• Proven experience designing and managing large datasets using SQL and BigQuery (or similar data warehouse technologies).
• Strong background in building secure, scalable data pipelines with Kafka.
• Experience integrating with AI/ML frameworks and CVAI systems for model serving and data processing.
• Familiarity with MLOps, AI/ML lifecycle management, and deploying ML models at scale is a plus.
• Demonstrated knowledge of security best practices, data privacy, and compliance in large data environments.
• Experience with CI/CD, cloud platforms (GCP/AWS/Azure), and DevOps practices.
• Excellent problem-solving, communication, and leadership skills.

Nice To Haves

• Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area.
• 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.
• Knowledge of accessibility best practices and Walmart's accessibility standards and guidelines for supporting an inclusive culture.

Responsibilities

• Architect, design, and implement scalable, secure back-end services and APIs using Java, with a focus on high-throughput and low-latency data processing.
• Develop, deploy, and manage microservices on Kubernetes, ensuring platform resilience, scalability, performance, and reliability.
• Design, optimize, and manage large-scale relational and analytical data models using SQL and BigQuery, supporting both operational and analytical workloads.
• Build and maintain real-time, secure data pipelines with Kafka, enabling scalable data ingestion and processing for AI/ML applications.
• Integrate back-end services with AI/ML pipelines and Computer Vision & Artificial Intelligence (CVAI) systems, supporting model training, inference, and continuous learning at scale.
• Implement robust security standards, including authentication, authorization, encryption, and vulnerability mitigation across all components.
• Collaborate closely with UI Engineers, Data Scientists, ML Engineers, and CVAI teams to deliver end-to-end intelligent solutions.
• Mentor and guide junior engineers, promoting best practices in large-scale data processing, system design, security, and scalability.
• Help foster an environment of innovation, collaboration, and engineering excellence both within the team and with the extended organization.
• Collaborate with teams across the organization to identify common components, workloads, and best practices.
• Ensure code quality, security, and performance through code reviews, testing, automation, and proactive monitoring.
• Troubleshoot and resolve complex technical issues, focusing on system reliability, rapid recovery, and operational excellence.

Benefits

• Competitive pay as well as performance-based bonus awards.
• Health benefits including medical, vision and dental coverage.
• Financial benefits including 401(k), stock purchase and company-paid life insurance.
• Paid time off benefits including PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
• Short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement.
• Live Better U education benefit program for full-time and part-time associates.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: General Merchandise Retailers
• Education Level: Bachelor's degree