AWS Cloud Capacity & Architecture Lead

Tata Consultancy Services; Stamford (CT); On-site; USD 85,000 - 110,000; Full time

Job summary

Tata Consultancy Services is seeking a Capacity Planning Manager to design scalable AWS cloud foundations, support core migrations, and ensure high availability and performance for critical applications. You will work with cross-functional teams to size infrastructure, establish baselines, and validate DR readiness.

Responsibilities include end-to-end capacity management, migration planning, and proactive bottleneck detection, with a focus on scalable, resilient architectures and data-driven

Qualifications

• Own and drive end-to-end capacity management for AWS cloud environments.
• Collaborate with application, infrastructure, security, and data teams.
• Define scalable architectures and migration readiness criteria.

Responsibilities

• Own and drive end-to-end capacity management for the AWS cloud environment.
• Plan and coordinate HA/DR testing to validate business continuity.
• Define headroom and scalability for peak volumes and unexpected demand.
• Perform proactive capacity assessments before major migrations or data loads.
• Establish baseline utilization across compute, memory, storage, database, and network.
• Evaluate infrastructure requirements for peak, seasonal, and high-volume workloads.
• Define migration approaches (rehost, replatform, refactor, modernization).
• Work with application and data teams to support bulk data loads.

Skills

Capacity planning

AWS

Kubernetes

Docker

Microservices

API integration

Java Spring Boot

Database migration

Performance testing

Monitoring tools

Tools

Dynatrace

Splunk

AWS EKS

Job description

Tata Consultancy Services is seeking a Capacity Planning Manager to design scalable AWS cloud foundations, support core migrations, and ensure high availability and performance for critical applications. You will work with cross-functional teams to size infrastructure, establish baselines, and validate DR readiness.

Responsibilities include end-to-end capacity management, migration planning, and proactive bottleneck detection, with a focus on scalable, resilient architectures and data-driven