Performance Test Engineer_Remote

Full Name

Current Location

Willing to work remotely in PST time Zone

Skills

No. of Years of Experience

Detailed Write UP

Total No. of Years of Experience

No. of years as a Performance Test Engineer (Min 10)

No. of years in JMeter Performance tuning experience

No. of years having designed and executed performance Tests in Apache JMeter by designing and executing performance tests utilizing various thread groups (e.g., Stepping, Ultimate), configuring diverse samplers (HTTP, JDBC, JMS), and implementing robust assertions (Response, Duration, Size) to simulate real-world user loads and ensure application scalability and reliability.

No. of years in Load Modeling?

Have you developed and implemented a comprehensive load modeling strategy by analyzing current system volumes, forecasting future growth, and incorporating real-world usage patterns, geographic distribution, and critical business transactions to simulate realistic user behavior and ensure robust application performance under varying conditions. Shift Left testing practices

Result Analysis: Have you conducted comprehensive analysis of performance test results, examining metrics like average response times, error rates, and throughput to identify bottlenecks and areas for optimization, ensuring alignment with business KPIs and system reliability.

Must have experience with GitHub, Azure DevOps (ADO), and Visual Studio.

Telemetry tools such as AppDynamics, AppInsights, and Splunk.

CI/CD integration for performance testing: Integrated performance and functional testing seamlessly into SDLC and CI/CD workflows using Jenkins, GitHub Actions, and Azure DevOps.

Automated end-to-end test execution with tools like Playwright and Selenium, enabling continuous regression and cross-browser testing, and supporting Infrastructure as Code (IaC) best practices.

Grafana, InfluxDB, and AI/ML-based performance analysis: Integrated performance testing tools like JMeter and k6 with time-series databases such as InfluxDB, enabling real-time ingestion of test metrics. Utilized Grafana dashboards to visualize and correlate these metrics with backend system performance indicators, including CPU usage, memory utilization, and database query times, thereby providing actionable insights into system behavior under load.

Explain your troubleshooting approach?

Automation and Reporting: Automated test data provisioning using K2View Fabric integrated with Jenkins and Azure DevOps, generating synthetic mortgage datasets to support shift-left testing and continuous performance validation.

Communication: Collaborated effectively with stakeholders throughout testing phases, clearly communicating identified bottlenecks at various system layers and proposing targeted optimization strategies, ensuring alignment with business objectives and facilitating informed decision-making