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# Test Engineer II - Automation (K6)

- **Company:** Yoh Services LLC
- **Location:** Plano, TX, United States
- **Experience:** Experienced
- **Salary:** $80,080 - $114,400
- **Contract:** Temporary contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Application Testing, Microsoft Azure, Cloud Computing, Groovy, Apache JMeter, Python (Programming Language), Web Applications, Scripting, Performance Testing, Backend, Containerization, Gitlab-ci, Kubernetes, Api Design, Jenkins
- **Published:** November 8, 2026
- **Apply:** https://diversityjobs.com/career/18869161/Test-Engineer-Ii-Automation-K6-Texas-Plano

## About the Role

* Deep knowledge of JMeter and k6
 * K6 (1st priority) and JMeter (2nd)
 * K6 - 2 to 5 years of experience
 * Experience testing APIs (All API Architecture) and web applications
 * Knowledge of Kubernetes and containerized applications (EKS etc)
 * Total - Min 5 -12 Years of overall experience.
 * Build and maintain performance test scripts in JMeter (2nd) and k6 (1st priority)
 * Experience with AWS, Azure, or GCP (Any cloud would work), * Strong experience in performance testing
 * Deep knowledge of JMeter and k6
 * JMeter (2nd) and k6 (1st priority)
 * K6 - 3 to 5 years of experience
 * Experience testing APIs (All API Architecture ) and web applications
 * Understanding of HTTP/HTTPS, cookies, sessions, headers, and authentication
 * Ability to analyze logs, metrics, and monitoring data
 * Scripting knowledge in JavaScript, Groovy, or Python
 * Familiarity with Jenkins, GitLab CI, or Azure DevOps
 * Strong communication and analytical skills
 * Experience with AWS, Azure, or GCP (Any cloud would work)
 * Knowledge of Kubernetes and containerized applications (EKS etc)
 * Total - Min 5 -12 Years of overall experience.

## Description

* Build and maintain performance test scripts in JMeter (2nd) and k6 (1st priority)
 * Run load, stress, soak, spike, and endurance tests
 * Test applications, APIs, and backend services
 * Analyze response times, throughput, error rates, CPU, memory, and other metrics
 * Identify performance bottlenecks and work with teams to troubleshoot
 * Define performance goals and success criteria
 * Create performance test reports
 * Support benchmarking and capacity planning
 * Integrate performance testing into CI/CD pipelines