Role: Senior Performance Test Infrastructure Engineer
Location: - Onsite - New York, NY
Experience required : 8+
Send profiles to: mkodumunja@sageitinc.net
ROLE_DESCRIPTION
"• 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 and manage 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."
SKILLS_REQUIRED
"• 7+ years of Infrastructure, Platform Engineering, DevOps, or Site Reliability Engineering experience.
• Strong hands-on experience supporting performance and load testing environments.
• Deep expertise in Google Cloud Platform (GCP) and Kubernetes (GKE).
• Experience building and managing distributed load testing infrastructure.
• Hands-on knowledge of k6, Locust, Gatling, and distributed test execution platforms.
• Strong understanding of cloud-native architectures, containerization, and microservices.
• Expertise with Infrastructure as Code using Terraform or similar tools.
• Experience provisioning and managing scalable test environments and automated data seeding solutions.
• Advanced knowledge of observability platforms including Grafana, Prometheus, Datadog, OpenTelemetry, distributed tracing, and APM tools.
• Strong Linux administration and infrastructure automation skills.
• Experience with CI/CD pipelines and automated test orchestration.
-- Location: - Onsite - New York, NY
Experience required : 8+
Send profiles to: mkodumunja@sageitinc.net
ROLE_DESCRIPTION
"• 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 and manage 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."
SKILLS_REQUIRED
"• 7+ years of Infrastructure, Platform Engineering, DevOps, or Site Reliability Engineering experience.
• Strong hands-on experience supporting performance and load testing environments.
• Deep expertise in Google Cloud Platform (GCP) and Kubernetes (GKE).
• Experience building and managing distributed load testing infrastructure.
• Hands-on knowledge of k6, Locust, Gatling, and distributed test execution platforms.
• Strong understanding of cloud-native architectures, containerization, and microservices.
• Expertise with Infrastructure as Code using Terraform or similar tools.
• Experience provisioning and managing scalable test environments and automated data seeding solutions.
• Advanced knowledge of observability platforms including Grafana, Prometheus, Datadog, OpenTelemetry, distributed tracing, and APM tools.
• Strong Linux administration and infrastructure automation skills.
• Experience with CI/CD pipelines and automated test orchestration.
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