(USA) Senior, Software Engineer

Walmart • Bentonville, AR

21h

About The Position

Position Summary... Sam's Club is our membership warehouse club, a business model that provides our members with high-quality products at prices that are unrivaled by traditional retail. Sam's Club provides a carefully curated assortment of items, as well as developing and leading technologies and services such as Scan & Go, Club Pickup, and home delivery service in select markets. Sam's Club also provides travel, auto purchasing, pharmacy, optical, hearing aid centers, tire and battery centers, and a portfolio of business operations support services. About the Team The Fraud Prevention Services team at Sam's owns the responsibility to prevent fraud across all of Sam's club's digital channels. We use a mix of machine learning, knowledge graph and herustic rules approach to achieving our goals. We are part of the larger Trust and Safety organization and are constantly innovating prevent fraud effectively while also delighting our members with seamless shopping experiences. What you'll do... About the team: The Fraud Prevention Services team at Sam's owns the responsibility to prevent fraud across all of Sam's club's digital channels, using a mix of machine learning, knowledge graph, and heuristic rules approach to achieve our goals. Immigration sponsorship is not available for this role What you'll do As a Senior Software Engineer, you will: Design and develop high-performance microservices and data pipelines that scale horizontally, self-heal, and maintain predictable execution time and throughput. Define, implement, and monitor service-level metrics and business KPIs, ensuring systems meet or exceed SLAs and proactively addressing performance or reliability gaps. Identify platform bottlenecks and failure points, drive mitigations and capacity planning, and continuously optimize system performance and data processing workflows. Lead production support and incident response, demonstrating deep expertise in service debugging, root-cause analysis, and rapid recovery of mission-critical systems. Collaborate with cross-functional partners to define technical solutions, prioritize work across features and technical debt, and influence product roadmaps. Write clean, modular, testable code, applying strong knowledge of data structures, algorithms, and design patterns. Create high-quality design documents, architecture diagrams, and post-mortems. Lead technical discussions, design reviews, and code reviews, offering insightful feedback and mentoring junior engineers to strengthen overall team capability. Drive automation across the SDLC, including automated testing, CI/CD pipelines, deployment workflows, and post-deployment monitoring for low-latency, high-throughput systems. What you'll bring At least 3 years of hands-on industry experience building, deploying, and operating distributed services, machine learning models, and algorithms at scale.

Requirements

• At least 3 years of hands-on industry experience building, deploying, and operating distributed services, machine learning models, and algorithms at scale.
• Strong proficiency in modern programming languages such as Python, Java, or C++, and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Solid understanding of core machine learning concepts, including supervised/unsupervised learning, deep learning, reinforcement learning, and natural language processing.
• Demonstrated success delivering end-to-end ML solutions, including problem definition, data exploration, feature engineering, model development, deployment, and monitoring.
• Experience working with large-scale datasets and big-data processing technologies such as Apache Spark or Hadoop.
• Excellent analytical and problem-solving skills with the ability to translate complex business challenges into feasible ML or data-driven solutions.
• Strong communication skills with the ability to convey technical concepts clearly to both technical and non-technical audiences.
• Option 1: Bachelor'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.
• Option 2: 5 years’ experience in software engineering or related area.

Nice To Haves

• Master’s degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area.
• Experience working with public cloud platforms (AWS, Azure, Google Cloud) is highly desirable.
• 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.

Responsibilities

• Design and develop high-performance microservices and data pipelines that scale horizontally, self-heal, and maintain predictable execution time and throughput.
• Define, implement, and monitor service-level metrics and business KPIs, ensuring systems meet or exceed SLAs and proactively addressing performance or reliability gaps.
• Identify platform bottlenecks and failure points, drive mitigations and capacity planning, and continuously optimize system performance and data processing workflows.
• Lead production support and incident response, demonstrating deep expertise in service debugging, root-cause analysis, and rapid recovery of mission-critical systems.
• Collaborate with cross-functional partners to define technical solutions, prioritize work across features and technical debt, and influence product roadmaps.
• Write clean, modular, testable code, applying strong knowledge of data structures, algorithms, and design patterns.
• Create high-quality design documents, architecture diagrams, and post-mortems.
• Lead technical discussions, design reviews, and code reviews, offering insightful feedback and mentoring junior engineers to strengthen overall team capability.
• Drive automation across the SDLC, including automated testing, CI/CD pipelines, deployment workflows, and post-deployment monitoring for low-latency, high-throughput systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level