What are the responsibilities and job description for the Infrastructure Engineer – Performance & Load Testing (Google Cloud Platform / Kubernetes) position at Siri Infosolutions Inc?
Title : Infrastructure Engineer – Performance & Load Testing (Google Cloud Platform / Kubernetes)
Employment Type: Long-Term Contract
Locations: Phoenix, AZ (Only locals)
Work Model: Day 1 Onsite Position
Employment Type: Long-Term Contract
Locations: Phoenix, AZ (Only locals)
Work Model: Day 1 Onsite Position
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Job Summary
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
Key Responsibilities
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.
Required Skills
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.
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
Key Responsibilities
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.
Required Skills
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.
Drop your resumes at