Job Description
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, 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.
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