| Job Description: |
Role Description
We are looking for an experienced Performance Test Engineer with strong expertise in performance testing tools, performance engineering principles, and end‑to‑end system analysis. The ideal candidate will have hands-on experience designing, executing, and optimizing performance tests to ensure high availability, responsiveness, and scalability of enterprise applications.
Key Responsibilities
Plan, design, and execute performance, load, stress, endurance, and scalability tests across various applications.
Utilize industry-leading performance testing tools such as JMeter, LoadRunner, NeoLoad, Gatling, K6, or Locust.
Conduct deep-dive performance engineering analysis, including:
Response time and bottleneck analysis
Concurrency and throughput assessment
Capacity planning
Caching strategy evaluation
Thread and connection pool tuning
Memory leak detection and Garbage Collection (GC) behavior analysis
Analyze test results and provide actionable insights and optimization recommendations.
Work closely with development, DevOps, and architecture teams to resolve performance issues.
Prepare clear documentation, including test strategies, scenario design, execution reports, and root-cause analysis.
Collaborate across distributed teams to ensure system reliability and performance compliance.
Essential Skills
8 years of hands-on performance testing experience in enterprise-scale environments.
Strong expertise in one or more performance testing tools:
JMeter
LoadRunner
NeoLoad
Gatling
K6
Locust
Deep understanding of performance engineering concepts, including:
Response time analysis
Concurrency and throughput optimization
Capacity planning and scalability
Caching mechanisms
Thread and connection pool tuning
Memory leaks and GC behavior
Strong analytical and problem-solving abilities.
Ability to work independently and communicate effectively with cross-functional teams.
Desirable Skills
Experience with:
HP LoadRunner (Mercury)
JMeter (advanced scripting and distributed testing)
Knowledge of performance monitoring tools and APM platforms (e.g., Dynatrace, AppDynamics, New Relic).
Understanding of cloud-native performance testing (AWS/Azure/GCP).
Keywords
Performance Testing, Load Testing, Stress Testing, JMeter, LoadRunner, NeoLoad, Gatling, K6, Locust, Performance Engineering, Response Time Analysis, GC Analysis, Memory Leaks, HP LoadRunner, JMETER. |
