Performance Test Engineer

ProArch

About The Position

We are seeking a skilled and detail-oriented Performance Test Engineer to join our Quality Engineering team. The ideal candidate will be responsible for designing, executing, and analyzing performance tests for enterprise web applications and API-driven systems. This role requires expertise in performance testing tools, cloud-based load testing platforms, and monitoring solutions to validate application scalability, reliability, and responsiveness. The Performance Test Engineer will work closely with Development, QA, DevOps, and Business teams to identify performance bottlenecks, validate Service Level Agreements (SLAs), and provide recommendations that improve overall system performance and user experience.

Requirements

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
5–7 years of hands-on experience in Performance and Load Testing.
Experience testing enterprise web applications and API-based systems.
Experience in performance analysis, reporting, and performance engineering practices.
Strong expertise in Apache JMeter for load and performance testing.
Experience with Azure Load Testing or similar cloud-based load testing platforms (Mandatory).
Experience using Playwright for browser-based performance measurements.
Strong understanding of HTTP/HTTPS protocols, REST APIs, and web application architecture.
Experience with request correlation, parameterization, and dynamic data handling.
Knowledge of performance metrics including response time, throughput, concurrency, latency, and error rates.
Hands-on experience with Azure Monitor and Application Insights.
Ability to analyze infrastructure and application performance metrics, including CPU, memory, network, and resource utilization.
Experience identifying performance bottlenecks and recommending optimization solutions.
Strong analytical and problem-solving skills.
Excellent troubleshooting and root cause analysis capabilities.
Strong communication and documentation skills.
Ability to work effectively in cross-functional teams.
Strong attention to detail and commitment to quality.
Ability to manage multiple priorities in a fast-paced environment.
Proactive approach to identifying risks and driving performance improvements.

Nice To Haves

Experience with cloud-native applications and microservices architectures.
Familiarity with CI/CD pipelines and DevOps practices.
Understanding of performance tuning techniques for web applications, APIs, and databases.
Knowledge of enterprise monitoring and observability tools.

Responsibilities

Understand application architecture, infrastructure components, and critical business workflows to define performance testing requirements.
Design, develop, and maintain performance test scripts using Apache JMeter.
Configure and execute Load, Stress, Spike, and Endurance (Soak) Tests to assess system behavior under varying workload conditions.
Utilize Azure Load Testing to perform large-scale cloud-based performance assessments.
Develop and execute browser-based performance measurements using Playwright.
Implement test data parameterization, request correlation, and workload modeling to simulate real-world user traffic.
Measure and validate page load times, rendering performance, API response times, throughput, and concurrency against defined SLAs.
Monitor application and infrastructure performance using Azure Monitor and Application Insights.
Analyze CPU, memory, network, database, and application-level metrics to identify performance bottlenecks.
Conduct root cause analysis and provide actionable recommendations for performance optimization.
Prepare detailed performance test reports, SLA validation reports, bottleneck analysis, and improvement recommendations.
Collaborate with Development, DevOps, and Business teams during performance assessments and release validation activities.
Support performance tuning efforts and validate the effectiveness of implemented improvements.
Ensure performance testing best practices and standards are followed throughout the software development lifecycle.