Performance Test Engineer - Delta Dental Plan of Michigan

Performance Test Engineer

Preference will be given to Michigan-based candidates. Candidates open to permanent relocation will be considered; however, this position does not allow telecommuting. USC or GC required, the client will not consider any other type of visa.

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. Visa: USC, GC only. Interview: 1st round On-Site / Face to Face required.

Submission Requirements:

• 4-Page (max) Word.doc resume
• Photo
• Linked In profile if available

Primary

Job Responsibilities:

• 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
• 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.
• 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.
• 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.
• Perform in-depth 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, fostering effective collaboration and change tracking within performance engineering teams.
• Collaborate with development, Dev Ops, and operations teams to troubleshoot performance bottlenecks and recommend tuning or architectural changes to improve application performance and scalability.
• Deploy, monitor, and troubleshoot applications running in Kubernetes clusters, ensuring efficient use of resources, autoscaling configurations, and resilience under load.
• Generate detailed performance reports and dashboards that present test results, analysis, and insights for various stakeholders, including senior management and engineering teams.
• Conduct root cause analysis for complex performance issues, using Dynatrace and other diagnostics tools to trace issues to specific components, services, or resource configurations.
• Initiate proactive approach 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, ensuring continuity and knowledge sharing within the team.
• These responsibilities ensure a strong focus on performance optimization, scalability, and reliability in modern cloud-native environments, making use of advanced testing, monitoring, and automation capabilities.
• Actively participate in PI planning sessions to align performance goals and establish testing strategies and set realistic performance targets.
• Ensure all the dependencies are identified, documented and addressed.

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.