Job Summary

The Performance Test Engineer ensures application scalability, stability, and reliability by designing and executing comprehensive performance testing strategies across web, API, and distributed systems.

Key Responsibilities

• Analyze architecture and traffic patterns to define realistic load models
• Design performance test strategies covering load, stress, spike, volume, and endurance testing
• Develop and maintain performance scripts using JMeter / LoadRunner / Gatling
• Configure distributed test execution and parameterized data models
• Monitor application, database, and infrastructure metrics during test execution
• Correlate performance metrics with backend bottlenecks and resource utilization
• Work with engineering teams to recommend tuning and optimization actions
• Integrate performance tests into CI/CD pipelines for early regression detection
• Create executive‑level performance reports and recommendations

Skill Requirements

Mandatory:

• Strong hands‑on experience with JMeter scripting and framework design
• Expertise in performance concepts: throughput, latency, concurrency, scalability
• Experience using APM and monitoring tools (Grafana, Dynatrace, AppDynamics, Kibana)
• API and microservices performance testing
• Exposure to GenAI concepts and use cases in software testing and quality engineering
• Experience using GenAI tools (e.g., Copilot, ChatGPT or similar) to accelerate test design, script generation, and debugging
• Ability to leverage GenAI for test case generation, data creation, and code optimization

Good to Have:

• Cloud‑based performance testing (AWS/Azure)
• Basic database performance tuning knowledge

Other Requirements

• Strong data interpretation and root‑cause analysis skills
• Ability to present findings to technical and non‑technical stakeholders

Total Experience: 8–13 years