Senior Performance & Load Testing Engineer

Tata Consultancy Services; New York (NY); On-site; USD 100,000 - 120,000; Full time

Job summary

Tata Consultancy Services is seeking a Senior Infrastructure Engineer to design, build, and manage production-like performance testing environments in Google Cloud Platform, with Kubernetes-based infrastructure to support large-scale distributed load testing.

You will own test environment provisioning, observability, and test automation, working across engineering teams to optimize scalability, latency, and bottleneck remediation in a cloud-native, microservices landscape.

Qualifications

• 7+ years of Infrastructure, Platform Engineering, DevOps, or Site Reliability Engineering experience.
• Hands-on performance and load testing experience is essential.
• Deep expertise with cloud-native architectures, Kubernetes (GKE), and observability stacks.

Responsibilities

• Design, provision, and maintain production-like performance testing environments in GCP.
• Build and manage Kubernetes-based infrastructure supporting large-scale distributed load testing.
• Configure and optimize distributed load generation frameworks and execution environments.
• Automate environment provisioning, configuration, test execution, and teardown processes.
• Develop and maintain test data generation and seeding strategies.
• Implement observability solutions to monitor platform behavior during performance tests.
• Support performance test execution and troubleshooting across engineering teams.
• Monitor system health, infrastructure utilization, and scalability metrics during testing activities.
• Identify infrastructure bottlenecks and recommend remediation strategies.
• Partner with QA and Software Engineering teams to ensure reliable and repeatable performance testing processes.
• Continuously improve platform scalability, reliability, and performance testing capabilities.

Job description

Tata Consultancy Services is seeking a Senior Infrastructure Engineer to design, build, and manage production-like performance testing environments in Google Cloud Platform, with Kubernetes-based infrastructure to support large-scale distributed load testing.

You will own test environment provisioning, observability, and test automation, working across engineering teams to optimize scalability, latency, and bottleneck remediation in a cloud-native, microservices landscape.