We are seeking a highly skilled and experienced Enterprise Capacity Management Specialist to join our team. The ideal candidate will have a strong background in back-end storage infrastructures, virtualization technologies, and capacity management toolsets. This role involves developing optimized capacity hosting plans, analyzing server and storage performance, and providing recommendations to maintain an optimized IT infrastructure. This role will also provide thought leadership as we begin to move significant portions of our enterprise to AWS. With the journey to the cloud, our capacity management strategies will have to evolve while continuing to serve our on-prem needs.

Key Responsibilities:

On-Prem Capacity Management:

• Leverage tools to predict future compute and storage capacity needs for the enterprise.
• Provide capacity reports and recommendations to maintain an optimized footprint and costs as IT infrastructure needs evolve over time.
• Manage capacity management software, currently BMC Truesight Capacity Optimization.
• Remediate software vulnerabilities through software upgrades and patches, including supporting software such as Apache Tomcat, PostgreSQL, Java, and Oracle client maintenance.
• Participate in major incident management calls to provide real-time performance metrics.
• Create and maintain time-forecasting models for servers and storage.
• Provide analysis and recommendations for server and storage consolidation efforts with predictive modeling for tactical (18-24 month) forecasts.
• Develop hosting plans and capacity architecture for new application projects, application upgrades, and application enhancements.
• Assist projects in determining capacity requirements for compute and storage.
• Perform capacity analysis to determine hardware purchasing needs.
• Review and maintain enterprise Disaster Recovery Testing Strategy.
• Periodically review RPO measurements and develop remediation plans where infrastructure RPO gaps are identified.

Cloud Capacity Management:

• Provide key data and thought leadership for FinOps processes.
• Develop and implement cloud capacity management strategies to ensure optimal utilization of cloud resources.
• Monitor and analyze cloud resource usage to identify trends, forecast future needs, and make recommendations for scaling.
• Collaborate with cloud service providers to optimize resource allocation and manage costs effectively.
• Implement automation tools and scripts to streamline cloud capacity management processes.
• Assist in managing cloud cost allocation and chargeback processes to ensure accurate cost distribution across departments and projects.
• Identify and implement cost-saving measures, such as rightsizing, reserved instances, and spot instances.

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Section 1: Headings and Paragraphs

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Subsection 1.1: Emphasis

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Section 2: Lists

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Section 3: Links and Code

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We can also include inline code elements, like print("Hello"), and larger blocks of code:

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def factorial(n):
if n == 0:
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else:
return n * factorial(n-1)
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This is a quotation block, often used to highlight significant statements or external sources within the document flow.

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Conclusion

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