Staff Software Engineer, Logistics Microservices

• 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.

• 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.

• 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.

• 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.

• 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.

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience.

• 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:

• 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

• 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.