Software Engineer, Logistics Microservices

Staff Software Engineer

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/Web Flux, 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 App Dynamics, 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…