Software Engineer III-IIDR - IBM InfoSphere Data Replication

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• →Codes solutions and unit test to deliver a requirement/story per the defined acceptance criteria and compliance requirements
• →Designs, develops, and modifies architecture components, application interfaces, and solution enablers while ensuring principal architecture integrity is maintained
• →Mentors other software engineers and coach team on Continuous Integration and Continuous Development (CI-CD) practices and automating tool stack
• →Executes story refinement, definition of requirements, and estimating work necessary to realize a story through the delivery lifecycle
• →Performs spike/proof of concept as necessary to mitigate risk or implement new ideas
• →Automates manual release activities
• →Designs, develops, and maintains automated test suites (integration, regression, performance)
• →Lead the design, development, and implementation of real-time data replication solutions using IBM IIDR to support Never Down (NVD) initiatives.
• →Own end-to-end delivery of IIDR-based pipelines across mainframe (z/OS) and midrange platforms, ensuring seamless integration with DB2, Kafka, and other target systems.
• →Troubleshoot and resolve complex replication issues, with a strong focus on reducing latency and ensuring high availability and resilience.
• →Optimize performance of IBM IIDR CDC pipelines, including tuning throughput, subscription parallelism, and resource utilization.
• →Provide technical leadership and mentorship to engineering teams, driving best practices in IIDR design, development, and support.
• →Collaborate with cross-functional teams to define requirements, estimate effort, and deliver solutions aligned with business priorities.
• →Ensure production stability by monitoring system health, proactively identifying risks, and implementing remediation strategies.
• →Support testing, deployment, and release activities, including CI/CD processes and production readiness validations.
• →Conduct root cause analysis for incidents and implement long-term fixes to improve system reliability.
• →Drive continuous improvement and innovation through proof-of-concepts, automation, and process enhancements.

• Experience with Kafka event streaming
   

• Application Development
• Automation
• Influence
• Solution Design
• Technical Strategy Development
• Architecture
• Business Acumen
• DevOps Practices
• Result Orientation
• Solution Delivery Process
• Analytical Thinking
• Collaboration
• Data Management
• Risk Management
• Test Engineering