IBM Sterling OMS Engineer Java

Cb•Raleigh, NC

17h•Hybrid

About The Position

We are looking for an experienced IBM Sterling OMS Engineer with strong Java development skills to join the team in Raleigh, NC. The role involves designing, developing, and supporting IBM Sterling Order Management solutions while working closely with business and technical stakeholders to deliver scalable, high-quality OMS implementations and integrations. The position is hybrid, with three days in Raleigh, NC, and flexible work-from-home options available.

Requirements

6+ years of software development experience with IBM Sterling OMS.
Strong hands-on experience with Java, J2EE, Spring Boot, and REST APIs.
Experience customizing Sterling OMS using User Exits, APIs, Services, Agents, Pipelines, and Transactions.
Experience in Retail, E-commerce, or Supply Chain domains.
Strong knowledge of Oracle/SQL and database design.
Experience integrating Sterling OMS with external systems and enterprise applications.
Familiarity with version control systems such as Git.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent communication and collaboration abilities.

Nice To Haves

Exposure to cloud platforms (AWS, Azure, or GCP).
Experience with CI/CD pipelines and DevOps practices.
Knowledge of microservices architecture.

Responsibilities

Design, develop, customize, and support solutions using IBM Sterling Order Management System (OMS).
Develop and enhance Sterling components using Java, J2EE, and Spring Framework.
Configure and customize Sterling OMS business processes, APIs, services, pipelines, and user exits.
Design and develop integrations between Sterling OMS and enterprise applications using REST/SOAP APIs, messaging, and middleware.
Troubleshoot production issues, perform root cause analysis, and implement sustainable solutions.
Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions.
Participate in code reviews, testing, deployment, and production support activities.
Follow software engineering best practices to ensure scalability, performance, and maintainability.