M

Performance Test Engineer

Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Performance Test Engineer role involves performance testing, monitoring, and evaluation of applications and systems. The ideal candidate will have strong hands-on experience with JMeter and proficiency in Dynatrace or similar APM tools. Experience in Kubernetes environments, autoscaling, and tuning applications for efficient use of cluster resources is also required.

Key Highlights
Performance testing and monitoring
JMeter and Dynatrace expertise
Kubernetes and autoscaling experience
Key Responsibilities
Performance testing and monitoring of applications and systems
Creating complex test scripts and scenarios with JMeter
Real-time monitoring, diagnostics, and root cause analysis with Dynatrace
Technical Skills Required
JMeter Dynatrace Kubernetes Autoscaling Bitbucket Jenkins DB/SQL/Linux
Benefits & Perks
Hybrid work arrangement
Michigan-based candidates preferred
Relocation assistance available
Nice to Have
Versioning and CI/CD integration tools like Bitbucket and Jenkins
Agile work environment experience

Job Description


Role: Performance Test Engineer

Work Location: Hybrid (minimum of 3 days a week in our Okemos or Farmington Hills office), Will change to 4 days a week starting the summer of 2026

Duration: 6 + Months 

USC GC ONLY


Preference will be given to Michigan-based candidates. Candidates open to permanent relocation will be considered; however, this position does not allow telecommuting.


Minimum Qualifications: 

  • 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. 
  • Will accept any suitable combination of education, training, or experience. 
  • Strong hands-on experience with JMeter for creating complex test scripts and scenarios. 
  • Proficiency with Dynatrace or similar APM tools for real-time monitoring, diagnostics, and root cause analysis 
  • Ability to interpret performance data to identify trends, bottlenecks, and areas for optimization 
  • Experience managing and optimizing performance in Kubernetes environments, autoscaling, and tuning applications for efficient use of cluster resources. 
  • Knowledge on versioning and CI/CD integration tools like Bitbucket and Jenkins for maintaining test suites 
  • Advanced knowledge of DB/SQL/Linux and experienced working in agile work environment. 
  • Effective communication skills and ability to resolve complex problems and use independent judgment. 


Thanks


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