Lead, Infrastructure Capacity Management

Humana•Louisville, KY

4d•$117,600 - $161,700•Hybrid

About The Position

The Lead, Infrastructure Capacity Management conducts supply-and-demand and trend analyses and makes proactive capacity-planning recommendations to mitigate risk and optimize hardware, software, and network resources for business needs, service-level requirements, and IT infrastructure growth. The role performs capacity workload modeling, performance optimization, and availability analysis across a variety of platforms and environments. As a subject matter expert, this position advises application development, systems administration, engineering, and other technical and business staff on resource requirements for systems under development. It develops, maintains, recommends, documents, and supports capacity-planning tools and backend utilities, and facilitates policies that help ensure existing capacity is used efficiently. The Lead advises executives on significant functional strategies, exercises sound judgment on complex issues and initiatives with minimal supervision, and analyzes business considerations to implement effective solutions.

Requirements

Bachelor's degree in Data Science, Data Analytics, Computer Science, Information Systems, Information Technology, Engineering, or a related technical field.
8+ years of experience in cloud and on-premises databases, infrastructure, or platform engineering.
Expertise in cloud capacity planning, performance engineering, workload forecasting, and resource optimization.
5+ years of experience with Azure Kubernetes Service (AKS), containerized platforms, Kubernetes administration, and cloud-native architectures.
5+ years of experience designing and implementing scalable, resilient, and cost-effective cloud and database architectures across Azure, AWS, and/or GCP.
Strong hands-on experience with Red Hat OpenShift, Nutanix, Open Suite, and enterprise platform technologies.
Strong experience with cloud-native and enterprise database platforms, including Azure SQL, PostgreSQL, MySQL, Oracle, SQL Server, Snowflake, Databricks, or similar technologies.
Experience optimizing cloud infrastructure, databases, applications, and AI/ML workloads for performance, scalability, reliability, and cost efficiency.
Experience with cloud monitoring, observability, capacity management, and FinOps practices.
Strong communication and stakeholder-management skills, with the ability to partner across engineering, operations, architecture, and business teams.
Experience leading cross-functional initiatives and driving strategic technology outcomes.
Must reside within commuting distance of Louisville, Kentucky, and be able to work onsite as required.
This role is not eligible for visa sponsorship.

Nice To Haves

Experience establishing enterprise standards and best practices for cloud architecture, database platforms, AI platforms, and performance optimization.
Experience with multi-cloud, hybrid-cloud, and cloud modernization initiatives.
Experience with Azure OpenAI, Databricks AI, Vertex AI, GPU-based workloads, or other enterprise AI/ML platforms.
Experience with Kubernetes, OpenShift, Infrastructure as Code, and cloud automation technologies.
Cloud certifications such as Azure Solutions Architect Expert, AWS Solutions Architect, or Google Professional Cloud Architect.

Responsibilities

Conduct supply-and-demand and trend analyses and make proactive capacity-planning recommendations.
Mitigate capacity risk and optimize hardware, software, and network resources to meet business needs, service-level requirements, and infrastructure growth needs.
Perform capacity workload modeling, performance optimization, and availability analysis across platforms and environments.
Serve as a subject matter expert to application development, systems administration, engineering, and technical and business staff on resource requirements for systems under development.
Develop, maintain, recommend, document, and support capacity-planning tools and backend utilities.
Facilitate development of policies to ensure existing capacity is used efficiently.
Advise executives on significant functional strategies.
Use sound judgment and make decisions on complex issues and initiatives while working with minimal supervision.
Analyze multiple factors and business considerations to determine and implement effective solutions.
Lead cross-functional initiatives and drive strategic technology outcomes.