Performance Tester
1 week ago
**Job Description & Requirements**
**Job Title: Performance Tester (with Engineering Knowledge)**
**Key Responsibilities**:
**Performance Testing**:
- Design, develop, and execute performance test scripts using tools like **JMeter**, **LoadRunner**and **NeoLoad**.
- Perform various types of performance testing**:Load**, **Stress**, **Soak**, **Spike**, and **Endurance**testing.
- Define performance benchmarks and Service Level Agreements (SLAs) in collaboration with development and business teams.
**Analysis & Reporting**:
- Analyze performance test results to identify bottlenecks, memory leaks, and latency issues.
- Provide detailed reports, graphs, and metrics to stakeholders.
- Suggest improvements based on performance data and root cause analysis.
**Engineering Integration**:
- Collaborate with software engineers, DevOps, and architects to recommend performance optimizations.
- Contribute to system design discussions with an emphasis on scalability and efficiency.
- Understand system architecture (monolithic, microservices, cloud-native) to evaluate performance impacts.
- Need to track the transaction **end-to-end and provide a response time breakdown**across each system
**Tools & Automation**:
- Integrate performance testing in CI/CD pipelines using tools like **Jenkins**, **GitLab CI**, or **Azure DevOps**.
- Automate performance test scenarios and monitor performance as part of the release cycle.
- Use APM tools (e.g., **Splunk**Dynatrace**,, **AppDynamics**) to monitor applicatioan and infrastructure performance.
**Stakeholder Communication**:
- Present findings to technical and non-technical stakeholders.
- Work closely with developers, product managers, and QA teams to align on performance expectations.
**Required Skills and Qualifications**:
- Bachelor’s degree in **computer science**, **Engineering**, or a related field.
- Strong understanding of **software performance concepts**and system engineering principles.
- Experience with one or more performance testing tools (e.g., JMeter, LoadRunner).
- Ability to interpret logs, system metrics, and monitoring dashboards.
- Strong scripting skills (e.g., **Python**, **Shell**, **Groovy**, or tool-specific scripting).
- Knowledge of cloud platforms (AWS, Azure, GCP) and container orchestration (Docker, Kubernetes) is a plus.
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