Senior, Software Engineer

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This role’s salary range is based on your skills and experience; talk with your recruiter to learn more.

$90,000.00/yr - $/yr

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.

• Own a key business domain end-to-end, delivering solutions across software engineering, data engineering, Dev Ops, and ML model deployment to solve complex business problems.
• Design and develop high-performance microservices and data pipelines (batch, streaming, or near-real-time) 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.
• Work with diverse data and cloud technologies, including non-relational databases (e.g., Cassandra), analytical platforms (e.g., Spark, Big Query, Hive, SQL), observability stacks, and multi-cloud environments (Azure, GCP, or internal cloud solutions).
• Collaborate with cross-functional partners—Product, Program, and Engineering teams—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 (unit, integration, performance, chaos), CI/CD pipelines, deployment workflows, and post-deployment monitoring for low-latency, high-throughput systems.

• 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., Tensor Flow, 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…