Performance Tester - Lead

Overview

• Lead and execute performance testing efforts across pre-production and production environments.
• Identify performance bottlenecks, conduct root cause analysis (RCA), and provide actionable tuning recommendations.
• Automate and enhance performance testing, monitoring, and reporting using tools such as Jenkins, Git, JMeter, Splunk, and Dynatrace.
• Work with microservices-based applications deployed on cloud platforms such as AWS (IaaS).
• Utilize tools like HP LoadRunner, JMeter, or similar platforms (e.g., SOASTA CloudTest) for load and stress testing.
• Perform performance testing on batch jobs and messaging queues (Kafka, TIBCO).
• Use APM tools (CA Wily, Dynatrace, AppDynamics, etc.) for diagnostics, profiling, and bottleneck identification.
• Analyze application logs using Splunk, ELK, and other monitoring tools.
• Execute performance tests via DevOps pipelines (Jenkins) and version control workflows (Git).
• Develop and maintain dashboards and reports to track and visualize performance metrics.
• Define and recommend non-functional requirements (NFRs) based on product specifications and system behavior.
• Analyze test outcomes, derive insights, and collaborate closely with development and project teams to resolve performance issues.
• Communicate findings and escalate issues effectively to technical leads, managers, and executives.
  
  

• 8-10 years of hands-on experience in performance testing, monitoring, and analysis.
• Proven background in high-volume, transaction-oriented applications; retail e-commerce experience strongly preferred.
• Proficiency with LoadRunner, JMeter, or equivalent performance testing tools.
• Experience with cloud-based microservice architectures (AWS IaaS preferred).
• Familiarity with APM tools such as Dynatrace, AppDynamics, or CA Wily.
• Experience analyzing logs and metrics using Splunk, ELK, etc.
• Knowledge of Agile methodologies and version control systems (Git).
• Working knowledge of Jenkins for automated performance tests within DevOps pipelines.
• Basic programming/scripting experience in Java, Python, and UNIX shell scripting.
• Strong analytical skills and the ability to translate test results into clear recommendations.
• Excellent communication skills, with the ability to present technical findings to both technical and non-technical stakeholders.