IBM ODM Microservices Production Support Engineer

Summary

Join customers team specializing in IBM Operational Decision Manager (ODM) microservices. You'll be integral to the delivery and maintenance of high-volume, cloud-connected lab automation with large volume of annual tests and complex real-time rule execution managed via scalable Java services. This role combines deep technical ownership of ODM rules, microservices architecture, production system reliability, and production data analysis.

Responsibilities

• Design, implement, and maintain IBM ODM-based microservices for laboratory workflow automation and clinical validation
• Integrate ODM decision services with Java APIs and cloud-native platforms to support millions of daily lab transactions.
• Provide end-to-end production support, including investigation and resolution of incidents, system monitoring, troubleshooting, and root cause analysis.
• Analyze production data for trends and anomalies; generate actionable insights for performance optimization and continuous improvement.
• Collaborate with development, QA, and business teams to evolve lab business rules and optimize system scalability.
• Support deployment, versioning, and reliability of rule execution across distributed lab environments.
• Develop and update technical documentation, SOPs, and knowledge base articles for production support.
• Participate in Agile ceremonies, contribute to sprint planning, and support ongoing DevOps automation.
• Ensure compliance with healthcare regulations and data governance throughout rule lifecycle and production operations.

Qualifications

• 4+ years' experience with IBM ODM, business rule management systems, and microservices architectures.
• Proficiency in Java, understanding of cloud-native API integration, and experience with system monitoring tools.
• Track record of supporting production systems in fast-paced, high-volume environments preferably healthcare or clinical labs.
• Advanced troubleshooting, production incident management, and analytical skills.
• Familiarity with data analysis techniques and reporting tools.
• Excellent communication and cross-functional collaboration abilities.

Preferred

• Experience in clinical laboratory systems or large-scale healthcare data environments.
• Knowledge of regulatory compliance (HIPAA, CLIA).
• Working knowledge of SQL and data lake platforms.