About the Team The Logistics Technology team at Williams-Sonoma, Inc. builds and supports the platforms that move product across our supply chain — from distribution center operations and warehouse management to transportation and delivery for brands including Williams Sonoma, Pottery Barn, West Elm, and Rejuvenation. We partner closely with Supply Chain, Distribution Center operations, and third-party vendors to deliver scalable microservices that keep fulfillment fast, accurate, and cost-effective. It is a hands-on, high-ownership team where engineers work end to end — designing systems, integrating with WMS and TMS platforms, and applying automation and AI to improve how our distribution network runs every day. About the Role The Staff Software Engineer will be responsible for leading the design, development, and delivery of enterprise-grade, scalable microservices applications supporting Logistics and Warehouse Management Systems. This role requires strong technical leadership, hands-on development expertise, and close collaboration with cross-functional business and technology teams, including third-party vendors such as Manhattan Associates. Responsibilities Provide technical leadership for the Logistics domain — designing, developing, and leading delivery of scalable, enterprise-grade microservices. Drive hands-on development of Java and Spring Boot services, RESTful APIs, and event-driven integrations using Kafka. Define and enforce engineering standards for secure coding, unit testing, Git branching strategy, and code quality. Lead deployments and CI/CD automation on containerized platforms, including automated testing and release readiness. Own application health in production — monitoring, alerting, incident triage, and root-cause resolution. Lead integrations across Warehouse Management, Transportation Management, Slotting, and Labor Management systems and Distribution Center operations. Partner with business stakeholders and third-party vendors such as Manhattan Associates to translate logistics requirements into scalable technical solutions. Identify and deliver AI and automation opportunities that improve Logistics operations, production support, and business-user productivity. Drive Agile delivery — sprint planning, estimation, and delivery tracking — and mentor engineers to raise the bar across the team. Criteria Experience 10+ years of software engineering experience, including at least 3 years as a Java Lead. Proven track record delivering enterprise-scale microservices applications in a retail, supply chain, or logistics environment. Experience delivering in Agile environments using Jira for sprint planning, estimation, and delivery tracking. Functional Expertise Strong knowledge of logistics, warehouse management, and Distribution Center operations. Hands-on experience integrating with Manhattan WMOS, Transportation Management Systems, Manhattan Slotting, and Labor Management systems. Experience leading third-party vendor integrations, integration platforms, and enterprise web services. Strong business acumen with the ability to align technology solutions to revenue and operational goals. Technical Expertise Extensive hands-on experience with Java, JavaEE, Spring Boot, Spring MVC/WebFlux, Microservices, and Kafka. Proficiency with RESTful web services, JPA, SLF4J logging, and application configuration management. Strong relational database skills across

DB2, SQL

Server, and Oracle. Experience with containerized platforms such as Kubernetes, CI/CD pipelines, and automated testing. Working knowledge of secure coding standards, Git repository and branching strategies, and code quality tools such as Sonar. Proficiency with monitoring and observability tools such as AppDynamics, Splunk, ELK, and Grafana, including alert and notification setup. Proficiency with Enterprise Integrations Systems architecture using, Kafka, MQ, TCP/IP, file systems, etc. AI Skills Strong AI-first mindset. Experience using AI tools, AI agents, and automation platforms to improve operations, production support, data validation, reporting, testing, and documentation. Ability to design AI-agent led solutions for use cases such as issue triage, exception monitoring, report generation, knowledge retrieval, regression testing support, and operational analytics. Understanding of responsible AI practices, including data privacy, security, auditability, compliance, and validation of AI-generated outputs. Leadership Demonstrated situational leadership — guiding teams, driving execution, and delivering measurable business value. Ability to facilitate productive discussions across diverse stakeholder groups and drive alignment. Experience mentoring engineers and raising engineering standards across a team. Education Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. Work Location This role requires being onsite in the Olive Branch, MS office Monday through Thursday. Our Culture & Values We believe that taking care of our people is vital to our success and we strive to offer equitable and transparent practices for all. We prioritize connection, growth, and wellbeing. People First Putting People First means investing in overall well-being and opportunities to grow and advance within the organization. Depending on the position and location, here are a few highlights of what benefits may be available: Benefits A generous discount on all WSI brands A 401(k) plan and other investment opportunities Paid vacations, holidays, and time off to volunteer Health benefits, dental and vision insurance, including same-sex domestic partner benefits Tax-free commuter benefits A wellness program that supports your physical, financial and emotional health Continued Learning In-person and online learning opportunities through WSI University Cross-brand and cross-function career opportunities Resources for self-development Advisor (Mentor) program Career development workshops, learning programs, and speaker series WSI will not now or in the future commence an immigration case or "sponsor" an individual for this position (for example, H-1B or other employment-based immigration). This role is not eligible for relocation assistance. Williams-Sonoma, Inc. is an Equal Opportunity Employer. Williams-Sonoma, Inc. will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance, or other applicable state or local laws and ordinances.