Familiarity with monitoring tools such as Splunk, CloudWatch, or Datadog.
Job Description - Performance Test Engineer
We are looking for an experienced Performance Test Engineer with strong expertise in load and performance testing to ensure the scalability, reliability, and stability of enterprise applications. The ideal candidate will work closely with development, QA, and DevOps teams to identify performance bottlenecks and improve system efficiency.
Responsibilities
Design, develop, and execute performance, load, stress, and endurance tests using JMeter and BlazeMeter.
Analyze performance test results and identify system bottlenecks related to application, database, or infrastructure.
Collaborate with development and infrastructure teams to troubleshoot performance issues and drive root-cause analysis.
Create and maintain performance test plans, scenarios, scripts, and reports.
Monitor application performance and system behavior during testing cycles.
Validate performance requirements and SLAs for applications.
Participate in performance tuning efforts and re-testing after fixes.
Support performance testing in pre-production and production environments when required.
Provide clear performance metrics, dashboards, and recommendations to stakeholders.
Required Skills & Qualifications
5-10 years of experience in performance and load testing.
Strong hands-on experience with Apache JMeter.
Experience with BlazeMeter for cloud-based performance testing.
Solid understanding of performance testing concepts (load, stress, spike, soak, scalability testing).
Experience in analyzing performance metrics such as response time, throughput, CPU, memory, and error rates.
Good knowledge of HTTP/HTTPS, REST APIs, and web-based applications.
Experience working with databases and validating backend performance.
Strong analytical, problem-solving, and troubleshooting skills.
Good communication and documentation skills.
Good to Have
Experience in banking or financial services domain.
Familiarity with monitoring tools such as Grafana, Prometheus, Splunk, or AppDynamics.
Exposure to CI/CD pipelines and integrating performance tests into automation frameworks.
Basic scripting knowledge (Groovy, Java, or Python).
Experience with cloud platforms such as AWS or Azure.
