Performance TestEngineer- w2

Overview

Hybrid
$50 - $60
Contract - W2
Contract - 6 Month(s)

Skills

JMeter
APM
Performance testing
Dynatrace

Job Details

W2 role
Onsite work at MI
Interview - 1st video, 2nd Onsite

Primary Job Responsibilities:

1. Design and lead comprehensive performance testing strategies to validate system behavior under load, stress, and peak conditions. Align these strategies with business requirements and project goals

2. Create, configure, and execute complex test scripts in JMeter to simulate real-world usage scenarios and workload patterns. Optimize and troubleshoot scripts to achieve accurate and reliable performance assessments.

3. Utilize Dynatrace for continuous performance monitoring, tracking key application metrics (response time, throughput, resource utilization) and diagnosing issues in real-time to support proactive performance management.

4. Integrate performance testing and monitoring tools within CI/CD pipelines using Jenkins, ensuring that performance issues are identified and addressed early in the development lifecycle.

5. Perform in-depth capacity planning analysis, determining optimal infrastructure requirements to handle projected workloads and recommending strategies for scaling applications in Kubernetes environments.

Qualifications:

  1. Position requires a bachelor s degree in computer science or engineering and seven years of experience in applications and systems performance testing, monitoring and evaluation and five years experience in application development.
  2. Will accept any suitable combination of education, training, or experience.
  3. Strong hands-on experience with JMeter for creating complex test scripts and scenarios.
  4. Proficiency with Dynatrace or similar APM tools for real-time monitoring, diagnostics, and root cause analysis
  5. Ability to interpret performance data to identify trends, bottlenecks, and areas for optimization
  6. Experience managing and optimizing performance in Kubernetes environments, autoscaling, and tuning applications for efficient use of cluster resources.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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