Position: Performance Test Engineer

Experience: 7+ years

Location: Okemos, MI (Hybrid – 3 days a week)

Job Type: Contract (Long Term)

Role Overview

We are looking for an experienced Performance Test Engineer / Performance Engineering Lead with strong expertise in performance testing, monitoring, capacity planning, and cloud-native application performance optimization. The ideal candidate will be responsible for designing and executing end-to-end performance testing strategies, identifying bottlenecks, and ensuring application scalability, reliability, and resilience under varying load conditions.

This role requires hands-on experience with JMeter, Dynatrace, Kubernetes, Jenkins, Bitbucket, SQL, Linux, and a strong understanding of CI/CD pipelines, performance engineering best practices, and modern distributed systems.

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, DevOps, 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