(USA) Staff, Software Engineer- Data Venture

Position Summary...

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.

What you'll do...

• 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.

Qualifications

• 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.

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