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The Principal Software Engineer will lead the architecture and technical solutions for Warehouse Management Systems (WMS) across the enterprise, ensuring the alignment of technical capabilities with strategic goals. The role includes designing scalable systems, providing technical leadership, mentoring teams, driving automation, and investigating new technologies for future needs.

The Principal Software Engineer will design secure software systems to mitigate security risks, conduct risk assessments for major projects, and mentor junior engineers. Collaborating with various teams, the role focuses on implementing solutions to enhance system security and performance, while developing best practices in security engineering.

As a Distinguished Software Engineer, you will enhance system security by developing and implementing security architectures, conducting audits, leading incident responses, and mentoring junior staff. You will collaborate with various teams to improve the reliability and integrity of the software solutions.

As a Principal Data Analyst, you'll transform large datasets into insights, architect analytical solutions, mentor analysts, and collaborate with product managers and engineers to derive actionable insights. You'll also conduct complex data analyses and use visualization tools to communicate insights effectively.

The Specialist - Technology Logistics Support provides day-to-day IT support for logistics equipment, manages L1 Service Desk requests, installs new systems, monitors data center alarms, and coordinates with various support teams for effective problem resolution.

As a Senior Software Engineer, you'll work within an Agile Team focusing on optimizing Digital Trust & Compliance solutions. Your responsibilities include designing and implementing features, analyzing and optimizing applications, mentoring junior engineers, and collaborating on large projects to meet business objectives while ensuring compliance with regulations.

The Data Scientist III role involves applying data management principles, advanced statistical methods, and machine learning techniques to solve business problems. Responsibilities include developing and validating analytical models, deploying them in production, conducting exploratory data analysis, and creating data visualizations. The position also requires translating business challenges into data-driven solutions and mentoring junior associates.