Bachelor's degree in information systems, Mathematics, Finance or another quantitative or related subject
10+ years of mainframe systems experience with proficiency in performance management for large, multi-processor, multi-LPAR, Parallel Sysplex environments utilizing z/OS
Proficiency in COBOL, JCL, DB2, and REXX; Python and/or Java experience on the mainframe is a plus
Strong experience with mainframe monitoring tools, observability, capacity management, data analysis, and batch processing/job scheduling
Requirements:
Implement and maintain observability solutions to monitor mainframe performance metrics
Collaborate in development and modification of dashboards and alerts to track system health and performance, ensuring comprehensive visibility into mainframe operations and rapid issue identification
Monitor mainframe performance metrics using tools such as RMF, SmartIS, iZPCA, MICs and other internal tools; analyze performance data to identify trends, bottlenecks, and optimize system performance; develop and implement tuning strategies
Collect and analyze system performance data to generate reports and dashboards; define KPIs and present data findings, recommendations, and methodology to senior leadership and stakeholders; work with cross-functional teams and participate in on-call rotations
Job description
Mainframe Infrastructure Metrics Engineer - 100% Remote Location – USA Rate – DOE Start Date – Immediately
Responsibilities
Observability, Monitoring & Tooling:
Implement and maintain observability solutions to monitor mainframe performance metrics
Collaborate in development/modification of dashboards and alerts to track system health and performance.
Ensure comprehensive visibility into Mainframe system operations and quickly identify issues.
Performance Monitoring and Analysis:
Monitor mainframe performance metrics using various Tools such as RMF, SmartIS, iZPCA, MICs and other internal tools.
Analyze performance data to identify trends, bottlenecks, and potential issues.
Develop and implement performance tuning strategies to optimize system performance.
Data Analysis:
Collect and analyze system performance data to generate reports and dashboards.
Identify key performance indicators (KPIs) and develop metrics to track system performance.
Summarize and present data findings, recommendations, and methodology to senior leadership, department leadership and enterprise stakeholders (technical and non-technical stakeholders)
Collaboration and Communication:
Work closely with cross-functional teams, including operations, development, and infrastructure teams.
Provide technical support and guidance to team members and stakeholders.
Participate in on-call rotations and provide timely responses to performance and observability issues.
Experience
Bachelor's degree in information systems, Mathematics, Finance or another quantitative or related subject
10+ years of mainframe systems experience with proficiency in performance management for large, multi-processor, multi-LPAR, Parallel Sysplex environments utilizing z/OS
Proven experience in mainframe performance monitoring, observability, capacity management, and data analysis.
Proficiency in COBOL, Job Control Language (JCL), DB2, REXX programming
Python and/or Java experience on the mainframe is a plus.
Strong understanding of Batch Processing and Job Scheduling
Experience with mainframe monitoring tools and performance tuning techniques.
Experience working with large highly transactional datasets to draw insights and create organizational value.
Advanced user of MS Excel (Charts, Pivot tables, Vlookups, PowerPivot) and PowerPoint
Qualifications
Strong analytical, problem solving and strategic thinking skills including the ability to prioritize.
Proficiency in data analysis and creation of dashboards and various visualizations that will provide actionable insights for operations, engineering and management decision making.
Working knowledge of MS Office suite for management reporting using both PowerPoint and Excel analytical functions
Comfortable taking information from disparate systems to bring data elements together for meaningful insights.
Analyze and solve business problems at their root, stepping back to understand the broader context.
Excellent written and verbal communication skills.
Ability to work independently and as part of a team.
Detail-oriented with strong organizational skills.
IBM SCRT Reporting (plus)
iZPCA Product experience (huge plus)
Exhibit good time management skills, independent thinking and decision making capabilities
High sense of urgency and ability to prioritize competing requirements in a fast-paced environment. "
