Infrastructure Engineer & Load Testing OmegaHires Platform & Infrastructure not stated

Mid-level Platform & Infrastructure role  York
· contract.

devopsroles summary, based on the employer's posting.

• Provision isolated, production-grade environments for performance tests on GCP and Kubernetes
• Automate large-scale data seeding, database cleanup and synthetic dataset management
• Run distributed load tests on Kubernetes and scale executions to test demand
• Use observability tools to monitor infrastructure health and performance metrics under stress

• Hands-on experience with GCP and Kubernetes, including GKE
• You can configure Grafana, Prometheus or Datadog to monitor and alert on stress-test performance
• You have built pipelines for database seeding, cleanup and synthetic SQL or No
  
  SQL datasets
• You can set up environments with Terraform, Helm or Kubernetes manifests

This contractor role suits an infrastructure engineer focused on performance and load testing. It is based in New York City with a hybrid work arrangement.

Infrastructure Engineer Performance & Load Testing

Job Role:

Infrastructure Engineer — Performance & Load Testing

Location:

New York City, NY (Hybrid)

Job Description:

Our squad that needs an Infrastructure Engineer specializing in Performance & Load Testing to manage and scale our automated performance testing infrastructure on GCP and Kubernetes. In this role, you will be responsible for provisioning isolated, production-grade test environments, automating high-volume data seeding, orchestrating scalable load executions, and leveraging modern observability tools to monitor infrastructure health under peak stress. Qualifications &

Required Skills:

- Hands-on expertise with Google Cloud Platform (GCP) and container orchestration using Kubernetes (GKE).

- Proficiency in Terraform, Helm, or Kubernetes manifests for environment setup and lifecycle management.

- Strong experience configuring Grafana, Prometheus, or Datadog to monitor, alert, and trace performance metrics during stress testing.

- Experience building pipelines for database seeding, cleanup, and synthetic dataset management (SQL/No

SQL).

- Familiarity with triggering and scaling distributed load-testing tools (e.g., k6 operator, Locust, Gatling) on Kubernetes. Preferred

Skills:

- Experience embedding automated infrastructure provisioning and load-test execution into CI/CD pipelines (Git Hub Actions, Git Lab CI, Argo Workflows).

- Experience optimizing GCP resource allocation and auto-scaling rules for cost-effective load generation.

- Strong proficiency in Python, Bash, or Go for infrastructure automation and custom telemetry exporters.