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Senior Performance Test Engineer - Software Quality Assurance

FIVE DATA PRODUCTS AND SOLUTIONS PRIVATE LIMITED
Any Location
8 - 10 Years
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4.3white-divider7+ Reviews

Posted on: 29/10/2025

Job Description

Description :


Key Responsibilities :

- Design, develop, and execute performance, load, stress, and endurance tests using Apache JMeter.

- Analyze test results, identify performance bottlenecks, and provide recommendations for tuning and optimization.

- Collaborate with development, DevOps, and infrastructure teams to define performance test objectives and requirements.

- Develop performance test scripts and scenarios simulating real user behavior and workloads.

- Monitor system performance during testing using relevant tools (e.g., Grafana, Prometheus, New Relic, Dynatrace, AppDynamics).

- Prepare detailed performance test reports including metrics such as response time, throughput, and resource utilization.

- Participate in root cause analysis of performance issues and support optimization efforts.

- Contribute to automation frameworks for continuous performance testing in CI/CD pipelines.

- Stay updated on emerging tools, technologies, and best practices in performance testing and

engineering.

Required Skills & Qualifications :

- 6 to 8 years of experience in Software Quality Assurance with a focus on Performance Testing.

- Strong hands-on experience with Apache JMeter (test design, scripting, execution, and analysis).

- Solid understanding of performance testing types (load, stress, spike, endurance, scalability).

- Experience in test result analysis, performance tuning, and bottleneck identification.

- Good understanding of web technologies, REST APIs, and application architecture.

- Familiarity with CI/CD tools (e.g., Jenkins, GitLab, Azure DevOps).

- Experience with monitoring and profiling tools (e.g., Grafana, New Relic, Dynatrace,

AppDynamics).

- Strong analytical and problem-solving skills.

- Excellent communication and collaboration skills.

Good to Have :


- Experience with cloud-based performance testing (AWS, Azure, GCP).

- Knowledge of scripting/programming languages (Java, Python, Groovy).

- Exposure to Performance Engineering concepts (capacity planning, scalability assessment).
- Familiarity with containerized environments (Docker, Kubernetes).


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