Job Description
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
