Infrastructure Engineer - Performance & Load Testing (Google Cloud Platform / Kubernetes)

Siri InfoSolutions Inc
Phoenix, AZ, United States
12 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Cloud Computing System Configuration DevOps Monitoring of Systems Load Testing Prometheus Software Deployment Test Data Datadog Google Cloud Performance Testing Grafana
+3 more
Software Troubleshooting Kubernetes Data Management

Job description

We are looking for an experienced Infrastructure Engineer specializing in Performance and Load Testing with hands-on expertise in Google Cloud Platform (Google Cloud Platform), Kubernetes, test-environment setup, test data seeding, and observability tools. T, Set up, configure, and maintain performance and load-testing environments on Google Cloud Platform (Google Cloud Platform). Configure and manage Kubernetes clusters, workloads, and resources to support performance testing activities. Prepare and maintain test environments, including infrastructure configuration, application deployment, and environment readiness. Perform test data seeding and ensure the availability and integrity of test data. Trigger, execute, monitor, and validate performance and load tests.

Requirements

Strong hands-on experience in Performance Testing and Load Testing. Experience with Google Cloud Platform (Google Cloud Platform) and cloud-based test environments. Hands-on experience with Kubernetes, including cluster configuration and workload management. Experience setting up and maintaining test environments. Knowledge of test data seeding and test data management. Experience triggering, executing, and monitoring performance and load tests. Hands-on experience with observability and monitoring tools such as Grafana, Prometheus, and Datadog. Strong troubleshooting and performance-analysis skills. Ability to collaborate effectively with development, QA, and DevOps teams.

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