Senior Decision Automation Engineer (IBM ODM)

This role supports the Enterprise Decisioning and Automation team, focusing on the design, development, integration, and support of enterprise-scale decision services using IBM automation and AI platforms. The position partners closely with architects, infrastructure teams, and business stakeholders to deliver scalable, cloud‑based decisioning solutions.

Key Responsibilities

• Design, develop, and maintain decision services using IBM Operational Decision Manager (ODM)
• Configure, manage, and support Decision Center and Rule Execution Server environments
• Build reusable, enterprise‑standard business rules, object models, and decision artifacts
• Integrate decision services with BAM OE workflows and Watsonx Orchestrate
• Support rule deployment, execution tracking, monitoring, and reporting across environments
• Collaborate with infrastructure teams to optimize deployments on OpenShift and Azure/AWS
• Implement and maintain application monitoring, alerting, and dashboards using Grafana, Splunk, AppDynamics, and Prometheus
• Participate in CI/CD pipeline implementation and follow best practices for decision lifecycle management
• Apply test‑driven development practices using JUnit, Decision Runner, and automated testing frameworks
• Leverage AI‑assisted development tools, including GitHub Copilot, to improve productivity and code quality
• Work closely with onshore and offshore development teams, architects, and business partners
• Contribute to governance standards, best practices, and continuous improvement initiatives
• Provide production support and collaborate across time zones, including off‑hours support when required

Required Qualifications

• Bachelor’s degree in Computer Science or a related field
• 6+ years of hands‑on experience with IBM Operational Decision Manager (ODM)
  • Rule Designer
  • Decision Center
  • Rule Execution Server
• Strong experience delivering enterprise‑scale ODM implementations
• Solid understanding of SOA and API‑based architectures
• Experience working in containerized and cloud environments (OpenShift, Azure, AWS)
• Proven experience setting up enterprise‑grade monitoring, alerting, and dashboards
• Hands‑on experience with CI/CD pipelines and automated testing practices
• Experience using AI‑enabled development tools