Job Title: Infrastructure Engineer Performance & Load Testing
Location: New York, NY
Pay Range: $48-52/Hour on W2/C2C (All Inclusive)
Request ID: 110351-1
Position Summary:
" 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.
Functional Skills
" Infrastructure scalability and reliability planning.
" Performance engineering support and optimization.
" Capacity planning and resource management.
" Infrastructure troubleshooting and root cause analysis.
" Automation-first mindset.
" Cross-functional collaboration and technical leadership.
" Strong communication and stakeholder management skills."
ESSENTIAL_SKILLS
"" 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.
Functional Skills
" Infrastructure scalability and reliability planning.
" Performance engineering support and optimization.
" Capacity planning and resource management.
" Infrastructure troubleshooting and root cause analysis.
" Automation-first mindset.
" Cross-functional collaboration and technical leadership.
" Strong communication and stakeholder management skills."
ESSENTIAL_SKILLS
"" 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.
Functional Skills
" Infrastructure scalability and reliability planning.
" Performance engineering support and optimization.
" Capacity planning and resource management.
" Infrastructure troubleshooting and root cause analysis.
" Automation-first mindset.
" Cross-functional collaboration and technical leadership.
" Strong communication and stakeholder management skills."
EXPERIENCE_RANGE_IN_REQUIRED_SKILLS
7+
Role Descriptions: We are seeking a Senior Infrastructure Engineer to build and manage the infrastructure required forlarge-scale performance testing of a high-volume transactional platform. The ideal candidate willown test environment provisioning| distributed load generation infrastructure| observability| and testexecution automation within cloud-native environments.Hands-on performance and load testing experience is essential. We are seeking senior specialists|not generalist Infrastructure| DevOps| or Platform Engineers. Familiarity with tools such as k6(preferred)| Locust| Gatling| distributed load generation| and modern observability stacks is required.Mandatory Expectations Hands-on Performance & Load Testing experience is non-negotiable. We are seeking top-tier senior specialists| not generalist engineers. Deep expertise with k6 is preferred; experience with Locust| Gatling| or similar frameworksis required. Experience performing large-scale distributed load generation. Strong understanding of performance engineering principles including scalability| resiliency| throughput| latency analysis| and bottleneck identification. Hands-on experience with modern observability tooling including Grafana| Prometheus| Datadog| OpenTelemetry| distributed tracing| and APM platforms. Experience working with cloud-native| microservices-based| event-driven architectures. Proven ability to identify| analyze| and remediate complex performance issues across application| messaging| database| and infrastructure layers.
Essential Skills: We are seeking a Senior Infrastructure Engineer to build and manage the infrastructure required forlarge-scale performance testing of a high-volume transactional platform. The ideal candidate willown test environment provisioning| distributed load generation infrastructure| observability| and testexecution automation within cloud-native environments.Hands-on performance and load testing experience is essential. We are seeking senior specialists|not generalist Infrastructure| DevOps| or Platform Engineers. Familiarity with tools such as k6(preferred)| Locust| Gatling| distributed load generation| and modern observability stacks is required.Mandatory Expectations Hands-on Performance & Load Testing experience is non-negotiable. We are seeking top-tier senior specialists| not generalist engineers. Deep expertise with k6 is preferred; experience with Locust| Gatling| or similar frameworksis required. Experience performing large-scale distributed load generation. Strong understanding of performance engineering principles including scalability| resiliency| throughput| latency analysis| and bottleneck identification. Hands-on experience with modern observability tooling including Grafana| Prometheus| Datadog| OpenTelemetry| distributed tracing| and APM platforms. Experience working with cloud-native| microservices-based| event-driven architectures. Proven ability to identify| analyze| and remediate complex performance issues across application| messaging| database| and infrastructure layers.
Desirable Skills:
Keyword:
Skills: Infrastructure Optimization and Tuning
Experience Required: