Capacity Planning Manager

Capacity Planning Manager

Stamford, CT

Full Time

Experience : 6 - 12 Years

Job Description

Capacity Planning Manager (Core Conversion)

• Own and drive end-to-end capacity management for the AWS cloud environment, ensuring infrastructure is appropriately sized for current and future business demand.
• Conduct capacity planning based on current and projected business volumes.
• Ensure architecture can be dynamically scaled based on application demand.
• Establish performance baselines before migration and validate performance following migration.
• Design resilient architectures to eliminate or minimize single points of failure.
• Define and validate RTO/RPO requirements for business-critical applications.
• Plan and coordinate HA/DR testing to validate business continuity.
• Identify potential capacity or performance bottlenecks proactively
• Establish baseline utilization across compute, memory, storage, database, network, and application layers and continuously track consumption against defined thresholds.
• Perform application and infrastructure assessments to determine cloud readiness and migration dependencies.
• Define appropriate migration approaches including rehost, replatform, refactor, and modernization based on application requirements
• Perform proactive capacity assessments before major business-function migrations, application onboarding, integrations, and bulk data-load activities.
• Define appropriate headroom and scalability requirements to accommodate peak business volumes and unexpected demand.
• Evaluate infrastructure requirements for peak, seasonal, batch, and high-volume data-processing workloads
• Design cloud infrastructure to support high-volume data migration, integration processing, API traffic, and application-to-application communication.
• Assess projected data volumes, transaction growth, peak utilization, and integration requirements.
• Perform capacity planning and recommend appropriate AWS services and architecture patterns.
• Establish scalable data ingestion and processing capabilities to accommodate future integration requirements.
• Work with application and data teams to ensure the environment can support bulk data loads without negatively impacting critical business workloads.
• Define mechanisms for performance benchmarking, load testing, monitoring, and capacity validation before major migration event
• Hybrid Cloud / On-prem-to-AWS migration experience
• Dynatrace / Splunk / enterprise monitoring platforms
• Kubernetes / AWS EKS
• Docker / containerization
• Microservices architecture
• API / middleware integration
• Java / Spring Boot application architecture
• Database migration technologies
• Performance testing knowledge