Performance Test Engineer

Job Title: Performance Test Engineer
Location: Hybrid Okemos MI (Minimum 2 days onsite weekly; moving to 3 days/week soon)

Visa Status: At this time we are only requesting candidates
that do not require sponsorship.

Submission Requirements:

Please submit a 4 Page
resume Photo ID and/or LinkedIn profile.



Position Overview:


Seeking a Performance Test Engineer to lead
performance testing and monitoring efforts in a modern cloudnative
environment. The successful candidate will design and execute comprehensive
performance test strategies collaborate across teams to optimize application
performance and contribute to a culture of continuous improvement. This hybrid
role is based in Okemos MI.
Key Responsibilities:

• Designand lead comprehensive performance testing strategies to validate system
  behavior under load stress and peak conditions.
• Alignthese strategies with business requirements and project goals.
• Createconfigure and execute complex test scripts in JMeter to simulate
  realworld usage scenarios and workload patterns.
• Optimize and troubleshoot scripts to achieve accurate and reliable performance
  assessments.
• Utilize Dynatrace for continuous performance monitoring tracking key application
  metrics (response time throughput resource utilization) and diagnosing
  issues in realtime to support proactive performance management.
• Integrate performance testing and monitoring tools within CI/CD pipelines using
  Jenkins identifying and addressing performance issues early in the
  development lifecycle.
• Perform indepth capacity planning analysis determining optimal infrastructure
  requirements to handle projected workloads and recommending strategies for
  scaling applications in Kubernetes environments.
• Use Bitbucket for version control of test scripts configurations and related
  documentation supporting effective collaboration and change tracking
  within performance engineering teams.
• Collaborate with development DevOps and operations teams to troubleshoot performance
  bottlenecks and recommend tuning or architectural changes to improve
  application performance and scalability.
• Deploymonitor and troubleshoot applications running in Kubernetes clusters
  optimizing resource utilization autoscaling configurations and
  resilience under load.
• Generatedetailed performance reports and dashboards that present test results
  analysis and insights to various stakeholders including senior
  management and engineering teams.
• Conduct root cause analysis for complex performance issues using Dynatrace and
  other diagnostic tools to trace issues to specific components services
  or resource configurations.
• Initiate proactive approaches to advocate for performance engineering best
  practices contributing to a culture of continuous improvement in
  performance testing and monitoring processes.
• Document test strategies configurations tuning recommendations and lessons
  learned supporting continuity and knowledge sharing within the team.
• These responsibilities maintain a strong focus on performance optimization
  scalability and reliability in modern cloudnative environments
  leveraging advanced testing monitoring and automation capabilities.
• Actively participate in PI planning sessions to align performance goals establish
  testing strategies and set realistic performance targets.
• Confirm that all dependencies are identified documented and addressed.
  
  
  Minimum Qualifications:
• Position requires a bachelors degree in computer science or engineering and seven
  years of experience in applications and systems performance testing
  monitoring and evaluation and five years of experience in application
  development.
• Will accept any suitable combination of education training or experience.
• Strong handson experience with JMeter for creating complex test scripts and
  scenarios.
• Proficiency with Dynatrace or similar APM tools for realtime 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 of 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 environments.
• Effective communication skills and ability to resolve complex problems and use
  independent judgment.