Administer and support IBM InfoSphere DataStage environments (development, test, staging, production): installs, upgrades, patching, configuration, and licensing.
Architect, evaluate, and optimize deployment strategies for various complex enterprise platforms and applications across diverse Kubernetes environments (e.g., Google Kubernetes Engine (GKE), OpenShift Container Platform (OCP), performing in-depth engineering analysis to identify technical benefits, risks, and strategic advantages for the organization.
Maintain Red Hat OpenShift clusters used for deployment of data services and pipelines: application deployment, scaling, resource quotas, operator lifecycle, and troubleshooting.
Implement, operate, and troubleshoot Apache NiFi flows and NiFi clusters; manage templates, controllers, and provenance.
Create, maintain, and improve automation and operational scripts (Bash, Python, or similar) for deployments, backups, monitoring, rollbacks, and routine maintenance.
Build and maintain CI/CD pipelines for DataStage, NiFi templates, and containerized services.
Monitor platform health and data pipelines; implement alerting, capacity planning, and performance tuning.
Plan and execute backups, disaster recovery drills, and restore procedures for DataStage and NiFi artifacts.
Enforce security best practices: secrets management, role-based access control, patching, vulnerability remediation, and audit logging.
Troubleshoot incidents across integration stack, perform root cause analysis, and produce post-incident reports.
Maintain accurate operational documentation, runbooks, playbooks, and run regular housekeeping tasks.
Mentor junior admins/engineers and collaborate cross-functionally to deliver integration solutions.
Skills Required:
Experience Required:
Experience Preferred:
Technical Skills Summary: