HamburgerMenu
hirist

Performance Test Engineer - JMeter/LoadRunner

True Tech Professionals
Multiple Locations
5 - 8 Years

Posted on: 03/10/2025

Job Description

Job Title : QA & Performance Test Engineer.

Experience Required : 5+ years.

Location : Gurgaon (preferred) / Remote.

About the Role :


We are looking for an experienced QA & Performance Test Engineer to ensure the reliability, scalability, and performance of our high-volume, low-latency applications.

The role involves performance engineering, test automation, observability, and integration with CI/CD pipelines to deliver robust and resilient systems.

Key Responsibilities :


- Design, implement, and execute performance tests for high-volume, low-latency applications.

- Define and validate SLAs, rate limits, and performance thresholds under different load conditions.

- Conduct load, stress, burst, and tolerance testing using tools such as JMeter, LoadRunner, or Gatling.

- Monitor and analyze key performance metrics (response times, throughput, CPU/memory utilization, breaking points).

- Collaborate with engineering teams to ensure High Availability (HA) and fault-tolerant architectures.

- Leverage observability tools (Grafana, Prometheus, Dynatrace, Splunk, ELK, etc.) for real-time insights.

- Build and maintain automated performance test frameworks integrated into CI/CD pipelines.

- Generate detailed performance reports and benchmarks to track trends and ensure compliance with thresholds.

- Partner with cross-functional teams to diagnose and resolve performance bottlenecks early in the lifecycle.

Required Skills & Experience :


- 5+ years of proven experience in QA and performance testing for distributed applications.


- Hands-on expertise with performance testing tools (JMeter, LoadRunner, Gatling, or similar).

- Strong knowledge of performance metrics: response time, throughput, latency, system resource usage.

- Experience with scalability testing, resilience validation, and SLA compliance.

- Familiarity with monitoring and observability platforms (Grafana, Prometheus, Dynatrace, Splunk, ELK).

- Knowledge of Kubernetes monitoring and resource optimization.

- Strong background in CI/CD pipeline integration for automated performance testing.

- Solid understanding of HA and fault-tolerant architectures.

- Excellent problem-solving and debugging skills for performance bottlenecks.


info-icon

Did you find something suspicious?